Patent Description:
Such a urine analysis device is notably described in document <CIT>. Document <CIT> discloses a medical toilet with fingerprint reading handles, to enable authentication of a user and loading of specific medical toilet functionality associated with the authenticated user (see abstract). Document <CIT> discloses a point-of-care device for urine analysis. The device is to be lodged in a toilet and collects sample of a urine stream before performing an optical analysis. The device comprises a station and a cartridge, which is also called a rotatable support, and which may be removed and replaced from the station. The cartridge contains urinary test strips, that is to say strips coated or impregnated with a reagent that reacts with urine.

A user willing to carry out a urine analysis with such a device, and in particular willing to monitor a biomarker, launches an analysis request with a smartphone or a button remotely linked the device. Then, the user pees on the urine analysis device which collects and analyses the urine to determine the selected biomarker.

However, if the user has to regularly monitor one or several biomarkers, the mental load is high for the user who must rely on his or her memory to remember to test his or her urine when needed. There is therefore a risk that users will forget or drop out of their biomarker monitoring process.

An aim of the description is to provide a method enabling an easy monitoring of at least one biomarker with no added mental load for the user.

To that end, the description relates to a method of monitoring at least one biomarker of a registered user with a urine analysis device in a toilet, the urine analysis device comprising control circuitry, the control circuitry comprising an internal clock and a memory storing at least one measurement plan associated to a user profile of the registered user, the at least one measurement plan comprising: a datum related to a predetermined biomarker to analyze and, at least one temporal analyzing window to analyze the predetermined biomarker. The method comprises:.

wherein at least one of collecting and analyzing is performed at least in response to determining that an internal time value of the internal clock is within the at least one temporal analyzing window of the measurement plan.

Thanks to this method, a personalized measurement plan is associated to the registered user, defining temporal analyzing windows when the user is expected to go to the toilets. This method enables an easy and regular monitoring without needing the user to remind to actively launch each urine analysis. The method according to the invention allows the user to take the right test at the right time without further action aside from urinating normally. This is particularly advantageous for users wanting to monitor biomarkers that needs to be checked regularly, and which results depend on the regularity of the users (ovulation testing for example). Moreover, the method enables to avoid using test strips when not needed and may thus expand the lifetime of a cartridge.

For example, in the case of a daily monitoring, when a user has already monitored a biomarker in the morning, there is no use to analyze again his or her urine in the afternoon. Therefore, a temporal analyzing window is only defined in the morning, so that no analyze for this user and this biomarker is carried out in the afternoon.

As another example, the temporal analyzing windows enable to prevent other persons using the same toilets from having their urine analyzed. In a home with two persons (e.g., a couple or roommates) get up of bed at different moments, a temporal analyzing window around the expected awakening moment of a user avoids analyzing the urine of the other person if not needed.

In one implementation, the method further comprises: before collecting and/or analyzing, receiving and storing, by the urine analysis device, the at least one measurement plan in the memory.

In one implementation, the measurement data are associated to the user profile corresponding to the temporal analyzing window of the measurement plan.

In one implementation, the method further comprises: sending, by the urine analysis device, the measurement data to an external device.

In one implementation, the method further comprises, after sending: receiving, by an external device, a confirmation request including a request for input from the user to confirm that the measurement data is to be associated to his or her user profile.

In one implementation, the confirmation request comprises a transfer request to associate the measurement data to another selected registered user.

In one implementation, the memory stores a plurality of measurement plans, wherein at least two temporal analyzing windows of two measurement plans are at least partially overlapping.

In one implementation, the urine analysis device further comprises a urine presence sensor, wherein collecting is performed in response to detecting, by the urine presence sensor, urine from a urine stream of the peeing user.

In one implementation, activating the urine presence sensor is performed at least in response to determining that an internal time value of the internal clock is within the at least one temporal analyzing window of the measurement plan.

In one implementation, the user selects on an external device a monitoring program among a plurality of predetermined monitoring programs, the monitoring program including at least a biomarker to measure and a measurement frequency associated to each biomarker, wherein the at least one measurement plan is generated using the monitoring program and the user profile.

In one implementation, the monitoring program comprises at least two biomarkers to analyze, a measurement plan being generated for each biomarker.

In one implementation, the user profile comprises awakening habits including at least one usual wakeup time for a given day, the at least one temporal analyzing window being generated using at least one usual wakeup time.

In one implementation, the at least one measurement plan is generated using further the associated biomarker to analyze.

In one implementation, the at least one temporal analyzing window including the at least one usual wakeup time.

In one implementation, the awakening habits are determined with data sent by a sleep monitoring device.

In one implementation, a sleep monitoring device detects that the user is getting out of his or her bed, a temporal analyzing window being created in response to the detecting.

In one implementation, in response to the user modifying his or her user profile using an external device, the at least one measurement plan is updated using the modified user profile.

In one implementation, the method further comprises: in response to the at least one measurement plan being updated, receiving, by the urine analysis device the at least one regenerated measurement plan once a day, in replacement of the at least one ongoing measurement plan.

In one implementation, the method further comprises: identifying, by the urine analysis device, at least a user profile associated with the peeing user.

In one implementation, at least one of collecting and analyzing the urine sample is performed in response to determining that one of at least one identified user profile is the user profile corresponding to the temporal analyzing window of the measurement plan.

In one implementation, identifying includes determining at least a user characteristic associated to the peeing user, wherein at least one of collecting and analyzing the urine sample are carried out in response to further identifying the peeing user using the at least one user characteristic and the user profile corresponding to the temporal analyzing window of the measurement plan.

In one implementation, the user characteristic is the sex of the user.

In one implementation, the user characteristic is the identity of the user.

In one implementation, the at least one biomarker includes a Luteinizing hormone, wherein collecting and analyzing the urine sample are carried out only when the identified sex of the peeing user is a female.

In one implementation, the method further comprises calculating a confidence score related to the probability that the identified user profile is that of the peeing user, and in response to determining that the confidence score is lower than a predetermined threshold receiving, by an external device of the at least one identified user profile, a confirmation request for input to confirm that said identified user profile is to be associated to the peeing user.

In one implementation, identifying is carried out with a radar sensor arranged in the urine analysis device, wherein the radar sensor sends a radar signal in direction of the urine stream and receives a reflected radar signal.

In one implementation, the method further comprises: calibrating the urine analysis device for the registered user, during which the radar sensor sends a radar signal in direction of a urine stream of a calibration urination of the registered user and receives a reflected radar signal, wherein the urine analysis device determines a user radar pattern associated to the user profile of the registered user based on said reflected radar signal, and wherein identifying comprises comparing the received radar signal of the peeing user to the user radar pattern of the user profile.

In one implementation, the urine presence sensor is activated by the user with the user external device before calibrating.

In one implementation, the method comprises, after collecting the urine sample and before analyzing: identifying the user with the urine analysis device, wherein identifying is based on a specific hormone in the urine sample.

In one implementation, the method comprises, after analyzing the urine sample: confirming the identification of the user with the urine analysis device, the confirmation step comprising detecting at least a specific hormone in the urine sample. This may be the measurement data or may be performed with a dedicated strip.

In one implementation, the urine analysis device determine that the user characteristic associated to the user sex of the peeing user is female by detecting a concentration of Luteinizing hormone greater than a predetermined threshold in the urine sample.

In one implementation, identifying is carried out with a weight sensor configured to obtain weight data of the user, the weight sensor sending a measure representative of the weight of a user sitting on the toilet bowl to the urine analysis device, the urine analysis device determining a user characteristic.

In one implementation, the method further comprises: receiving a reminder notification on a registered user external device before the beginning of a temporal analyzing window.

In one implementation, a temporal analyzing window is classified as unconclusive when no urine sample has been analyzed during said analyzing window, wherein when the number of analyzing windows classified as unconclusive over a predetermined period of time is greater than a predetermined threshold, the method further comprises: receiving, by an external device, a notification asking a user input to modify notably upcoming temporal analyzing windows of the measurement plan.

In one implementation, the upcoming temporal analyzing windows are refined (e.g., reduced) periodically based on the user habits.

In one implementation, the least one temporal analyzing window lasts longer on certain days of the week than on other days in the week.

In one implementation, the least one temporal analyzing window lasts longer during the weekend than on the rest of the week.

In one implementation, the method further comprises closing ongoing temporal analyzing window after measurement data is associated to the user profile associated with said ongoing temporal analyzing window.

According to another aspect, the description relates to a urine analysis device comprising control circuitry to perform any of the methods disclosed previously.

According to another aspect, the description relates to a system comprising a urine analysis device, a server and a mobile terminal, the system being configured to perform any of the methods disclosed previously.

According to another aspect, the description relates to a computer program comprising instructions which, when executed by a processor, such as a processor of a urine analysis device as disclosed previously, perform any of the methods disclosed previously.

These features and advantages of the invention will appear more clearly upon reading the following description, provided solely as a non-limiting example, and done in reference to the appended drawings, in which:.

The present description will detail embodiments and variations of an automatic method of monitoring biomarker(s) using a urine analysis device. The present description will also detail embodiments and variations of a urine analysis device to perform those automatic method(s). However, unless specific otherwise, the method is not limited to the disclosed urine analysis device. For the sake of completion, one specific embodiment of such a urine analysis device will be given.

In that regard, the present description introduces different examples of urine analysis device including a station and a cartridge usable with the station as disclosed in document <CIT> and <CIT> (publication numbers), hereafter referred to as WO'<NUM> and WO'<NUM>. Variations of the stations are presented in any of <CIT>, <CIT>, <CIT>, <CIT> (filing numbers).

The next paragraphs explain the overall principal of a device for urine analysis, but all the details of WO'<NUM> and WO'<NUM> (and also any of the above-mentioned French filings) are applicable.

<FIG> schematically illustrates an analysis device <NUM> (also referred to as the "device <NUM>") for urine analysis as set up in toilets <NUM>. Toilets <NUM> usually comprise a water tank <NUM>, a bowl <NUM>, a seat <NUM> and a seat cover <NUM>. The analysis device <NUM> is arranged in a removable manner in the toilets <NUM>. As illustrated, the analysis device <NUM> may be arranged in the toilet bowl <NUM>. In a variant, the analysis device <NUM> may be arranged in the seat <NUM>, in the seat cover <NUM>, near the water tank <NUM>, etc. For example, the analysis device <NUM> may be easily removed from the toilets to replace a cartridge and then arranged again in the toilets <NUM>. The analysis device <NUM> is arranged on an internal wall <NUM> of the bowl <NUM> of the toilets. The analysis device <NUM> is placed so that it is usually under a urine stream from a user, such that when a user urinates (typically in a seated position), urine contacts with the analysis device <NUM>. The analysis device <NUM> may communicate remotely with a remote entity, such as smartphone <NUM> or a server <NUM>.

As illustrated in more detail on <FIG>, the urine analysis device <NUM> comprises a station <NUM> and a cartridge <NUM>, mounted in a removable manner from the station <NUM>. Station <NUM> may comprise a housing <NUM> which may include two shells <NUM>, <NUM>. Case <NUM> lodges therein a urine testing assembly. Station <NUM> comprises an annular or ring-shaped housing <NUM>, located inside the housing <NUM>, arranged around a rotation axis A. The annular housing <NUM> is configured to receive at least partially the cartridge <NUM> mounted in a rotatable manner around the rotation axis A (once in position in the annular housing <NUM>). The cartridge <NUM> comprises a plurality of test supports which each comprise at least one urine reagent to measure a biomarker, for instance a dry reagent, the plurality of test supports being arranged along a circle or a circular arc around the rotation axis A. In an embodiment, the test supports are test strips. The test supports may be enclosed, for example individually enclosed, in a chamber. The housing <NUM> may have a diameter, in a direction perpendicular to the rotation axis A, comprised between <NUM> and <NUM>.

The annular housing <NUM> typically extends around <NUM>° and forms a groove configured to receive at least partially the cartridge <NUM>.

Referring to <FIG> and <FIG>, the station <NUM> comprises a collection opening <NUM>, located for example on shell <NUM>. The collection opening <NUM> collects urine flowing on the surface of the housing <NUM>. A drain opening <NUM> is also included to drain the liquid out of the device <NUM>. In particular, the collection opening <NUM> is configured to collect a urine sample from a urine stream of a peeing user.

In an embodiment the urine analysis device <NUM> comprises a urine presence sensor <NUM>, visible on <FIG>.

The urine presence sensor <NUM> is arranged in the vicinity of the collection opening <NUM>. The urine presence sensor <NUM> is configured to detect when urine is present in the vicinity of the collection port.

As it will be explained in detail below, the urine presence sensor <NUM> may be automatically activated or deactivated during predetermined periods of the day. The urine presence sensor <NUM> may further be activated by a user with an external device.

According to one embodiment, the urine presence sensor <NUM> may form a ring around the collection port. The integration of the urine presence sensor into the urine analysis device is then discrete.

The urine presence sensor <NUM> may be a temperature sensor, for example a thermistor. The temperature sensor is then configured to distinguish between urine and water from the toilet. In addition, the temperature sensor may also be operated to measure the temperature of the urine. The temperature of the urine may be used to detect periods of fertility, for example, by comparison with one or more reference curves.

Alternatively, the urine presence sensor <NUM> may be any type of liquid sensor, such as a capacitive or resistive type sensor. Then, a temperature sensor is separate from the urine presence sensor. The temperature sensor may be dedicated to measuring the temperature of the urine, in particular to detect a fertile period.

Alternatively, the urine presence sensor <NUM> may be a radar, a pressure sensor, a camera, a microphone or an infrared sensor.

The test assembly comprises a pump, an injector and an analyzer.

The pump is configured to suck urine from the collection opening <NUM>. In one embodiment, the pump is activated when a stream of urine is detected by the urine presence sensor <NUM>.

The injector is configured to inject the urine on one or more test supports of the cartridge and an analyzer obtains some values of properties (e.g., physical/chemical properties, such as the color) of the test supports after it has contacted the urine. In one embodiment, the analyzer is an optical analyzer configured to analyze optical properties of the test support. The injector and the cartridge may move relatively to each other so that the injector can open (e.g., pierce) the chamber, for example with a needle or needle-like device.

In particular, the analyzer is configured to analyze the urine sample to obtain measurement data relative to at least a biomarker of the peeing user. The measurement data may typically correspond to concentration of said biomarker in urine.

A biomarker, also called biological marker, is a characteristic that is objectively measured and evaluated as an indicator of normal biological processes, pathogenic processes or pharmacological responses to a therapeutic intervention. Biomarkers are here measured and evaluated using urine. Monitoring regularly such biomarkers enables for example to monitor wellness and nutrition markers. It may also enable to monitor women health, with cycle tracking, ovulation prediction, pregnancy determination, follow pregnancy, Perimenopause. It may also enable to monitor people with chronic disease, by detecting and monitoring of pathologies such as kidney disease or metabolic disorder. The analyzed biomarkers may be chosen among the following list: sodium, potassium, protein, creatinine, specific gravity, pH, ketones, glucose, vitamins, blood, leukocytes, nitrites, magnesium, chloride, urea, mercury, Luteinizing hormone (LH), human chorionic gonadotropin (hCG), etc. '.

<FIG> shows an exploded view of the cartridge <NUM>. The cartridge <NUM> comprises test supports <NUM> configured to receive urine from the injector. The test support contains a urine reagent that reacts in a specific way when in contact with urine. The cartridge <NUM> comprises a rotatable support <NUM>, configured to be driven in rotation by the station <NUM>. In normal use of the cartridge <NUM> and the urine analysis device <NUM>, the test supports <NUM> remain attached to the rotatable support and do not move with respect to the latter.

In an embodiment, the rotatable support <NUM> has a right circular cylinder shape of at least <NUM>% of a circle a hollow cylinder shape extending annularly around an axis which is, when the cartridge <NUM> is mounted in the station <NUM>, the rotation axis A. The test support <NUM> may be a test strip. The rotatable support <NUM> may comprise an annular portion <NUM> and a cylindrical portion <NUM>, which extends from an outermost radial extremity of the annular portion <NUM>. The cylindrical portion <NUM>, when in use, is lodged inside the annular chamber <NUM>. The test supports <NUM> are positioned along the cylindrical portion <NUM>, so that they can be selectively and/or successively scrolled in front of the injector and the analyzer. For instance, the test supports <NUM> are part of a holder <NUM>, which comprises several chambers <NUM>, separated from each other along a perimeter around the axis A. The plurality of chambers <NUM> are arranged next to one another in a right circular cylinder shape of at least <NUM>% of a circle. To allow light to go through, the holder <NUM> includes at least one aperture <NUM> per chamber <NUM> (represented in the upper left zoom where the rotatable support is shown as transparent). The chambers <NUM> are all at an equal distance of the rotation axis A, so that the injector can selectively inject urine after the desired chamber is positioned at a desired location facing the injector. The injector may translate towards the chamber <NUM> and pierce a lid closing the chamber <NUM> (visible on <FIG>). A drain opening <NUM> is provided in the rotatable support <NUM> to allow evacuating urine from the injector to the outside of the device <NUM>.

The annular portion <NUM> of the rotatable support <NUM> remains outside of the annular chamber <NUM> to strengthen the cylindrical portion and/or to drive in rotation the cartridge <NUM>. To that end, the annular portion <NUM> may include a mechanical coupling <NUM>, which cooperates with a shaft of the station <NUM>.

The dimensions relative to the cartridge <NUM> are disclosed in WO'<NUM>, WO'<NUM> and the above-mentioned French applications. The maximum dimension of the device <NUM> transversal to the rotational axis A is less than <NUM>, even less than <NUM>. The maximum dimension of the device along the rotation axis A is less than <NUM>.

<FIG> shows in more detail the interaction between the cartridge <NUM> and the station <NUM> when or after the injector is activated. The analyzer <NUM> comprises at least one light source <NUM>, <NUM> (e.g., two) and at least one optical sensor <NUM>. Light travels from the light source <NUM>, <NUM> to the optical sensor <NUM> while passing through the cartridge <NUM> and in particular the cylindrical portion <NUM>, the aperture <NUM> of the holder <NUM>, the test support <NUM> and thus the reagent <NUM>. The injector includes an injection end <NUM> (for example a needle), which can be moved between several positions, which are represented in dash lines in <FIG>. In a standby position SP, the injection end <NUM> is outside the cartridge <NUM> (in an innermost position), so that the cartridge <NUM> can rotate freely in the annular housing <NUM>; in an injection position IP, the injection end <NUM> has pierced the lid <NUM> to access the inside of the chamber <NUM> and may inject some urine on the test support <NUM>; in the drain position DP, the injection end <NUM> is able to evacuate urine through the drain opening <NUM> of the rotatable support <NUM>.

In position SP, the injector is located radially inward the annular chamber. This allows to maximize the radius of the annular chamber while minimizing the size of the station <NUM>.

In reference to <FIG>, the urine analysis device <NUM> further comprises control circuitry <NUM> arranged inside the internal volume defined by the housing <NUM> with a processor <NUM>, a memory <NUM>, and an input/output (I/O) interface <NUM>, which, among other things, allows the control circuitry <NUM> to receive and send data from and to a communication network <NUM>. The processor <NUM> is configured to, among other things, process data obtained by sensors of the urine analysis device <NUM>. The control circuitry <NUM> further comprises an internal clock <NUM>. The internal clock <NUM> may be part of the processor <NUM> or a separate circuit. The internal clock is for example an electronic circuit that produces a periodic, oscillating electronic signal, which is used to synchronize the operations of the control circuitry <NUM> and define an internal time. The control circuitry <NUM> and other electronic components may be mounted on a printed circuit board (PCB).

The urine analysis device <NUM>, and in particular the input/output (I/O) interface <NUM>, may communicate with at least an external device <NUM> via the communications network <NUM>, which may include a wireless network (in particular a network compatible with at least one of the following communication protocols: Bluetooth, Wi-Fi, cellular, etc.). The external devices <NUM> may include a server 630a and/or a mobile terminal 630b (smartphone, phablet, or even a webview on a computer, etc.). The device <NUM> may communicate with the server 630a and/or the mobile terminal 630b. In one implementation, the urine analysis device <NUM> may communicate directly with the mobile terminal 630b, for example via Bluetooth or Bluetooth Low Emission (BLE). This communication may be implemented at the installation of the urine analysis device <NUM>, in particular to pair it with the mobile terminal 630b and/or to configure a connection to the server 630a that does not transit through the mobile terminal 630b and/or as a backup for a failed communication with the server 630a. In one embodiment, the urine analysis device <NUM> may communicate directly with the server 630a, without transiting through the mobile terminal 630b. This communication allows the user to use the weighing system <NUM> even without having the mobile terminal 630b nearby.

The mobile terminal 630b may run an application (also referred as an "app") with which the user may interact: data visualization, data input, device pairing, device settings, etc..

The urine analysis device <NUM> further comprises a battery <NUM> (e.g., rechargeable) arranged inside the internal volume configured for supplying power to the various components of the urine analysis device <NUM>.

Other devices, such as a sleep monitoring device <NUM> may be connected to the external device <NUM> via the communications network <NUM>.

A user profile is associated to at least one user of the urine analysis device <NUM>. Each user associated to a user profile is called hereafter a registered user. Each user profile includes a plurality of user characteristics. The user characteristics may comprise a unique identifier (such as a user ID number), the identity of the user (e.g., a name, nickname, or pseudonym), the sex of the user ("male", "female", etc.), the age of the user, the height of the user, the weight of the user, or any information characterizing the user, etc.). User characteristics may further include user lifestyle habits. The lifestyle habits comprise for example awakening habits including at least one usual wakeup time, e.g., usual wakeup time for a given day. The awakening habits may be determined with data sent by a sleep monitoring device <NUM> (e.g., as disclosed in <CIT>). The lifestyle habits may further comprise home presence habits including for example remote working day, days off from work, holidays, etc..

The user profile is stored on at least an external device <NUM>. The user profile is preferably stored on the server 630a and at least a part of the user profile is stored on the user mobile terminal 630b. At least a part of the user profile is further stored in the control circuitry <NUM> of the urine analysis device <NUM>. By "at least a part of the user profile", it is understood at least one of the user characteristics among all the user characteristics of the user profile. The server 630a, the mobile terminal 630b and the control circuitry <NUM> are configured to periodically communicate and exchange data, for example every day, to synchronize the user characteristic(s) which may have been modified on any of any of the server 630a, the mobile terminal 630b and the control circuitry <NUM>. For instance, a user may enter in the app some data about himself or herself (manual logging), such that the user profile is updated in the app; upon synchronization the user profile on the server 630a and in the control circuitry <NUM> is also updated, either entirely or partially, for example updated with data only needed to perform any of the method presented in the description.

The user may modify his or her user profile, notably using the external device <NUM>, by changing at least a user characteristic. As it will be further explained below, the user profile may comprise user lifestyle habits. In particular, the user profile may comprise awakening habits including at least one usual wakeup time for a given day.

The user may provide a lifestyle input about his or her lifestyle habits in the external device <NUM>. In particular, the user may provide the lifestyle input in the mobile terminal 630b and the mobile terminal 630b is configured to send said information to server 630a. The server 630a is then configured to complete the user profile based on said input.

In variant or in complement, the lifestyle habits may be determined by a monitoring device disposed in the user house. For example, the awakening habits are determined with data sent by the sleep monitoring device <NUM>. The sleep monitoring device may be a smart watch as for example a Withings ScanWatch or may be a device disposed in the user bed as for example a Withings Sleep. As another example, a home automation device may determine the house presence habits.

In an embodiment, the urine analysis device <NUM> comprises an identification system <NUM>, represented schematically on <FIG>.

In particular, the identification system <NUM> is configured to identify at least one registered user associated with the peeing user, that is to say at least one user profile associated with the peeing user. To that end, the identification system <NUM> is configured to determine at least a user characteristic associated to the peeing user. The identification system <NUM> is configured to compare the determined user characteristic to the user characteristics of the user profiles stored in the memory <NUM> of the control circuitry <NUM>. The identification system <NUM> is then configured to identify at least a user profile associated with the peeing user using the user profile(s) matching the determined peeing user characteristic.

The identification system <NUM> is configured to calculate a confidence score related to the probability that the identified user profile is that of the peeing user. In a variant, the confidence score may be calculated by the external device <NUM>, notably the server 630a.

In an embodiment, the identification system <NUM> comprises a radar sensor arranged in the urine analysis device <NUM>. The radar sensor is configured to send a radar signal in direction of the urine stream of the peeing user and to receive a reflected radar signal.

Due to the anatomical differences between a man and a woman, the position of the origin of the urine stream is not the same when the user is sitting on the toilets. In addition, the urine stream is different between a male and a female for various morphological reasons (urethral shape, pressure, flow rate, etc.).

The control circuitry <NUM> is then configured to process the received reflected radar signal and to determine at least one property related to the urine stream. These properties allow in particular to determine a user characteristic. The user characteristic is for example the sex of the user. The classification of a user can be at least a classification by discrimination between men and women. In an embodiment, the user characteristic may be the identity of the user, based on his or her particular morphological proprieties.

In an embodiment, the identification system <NUM> is calibrated for each registered user. Calibration enables to determine a user radar pattern for each registered user, enabling an effective identification with the identification system <NUM>. In particular, during calibration, the radar sensor is configured to send a radar signal in direction of a urine stream of a calibration urination of the registered user and to receive a reflected radar signal. The identification system <NUM> is then configured to determine a user radar pattern associated to the user profile of the registered user based on said reflected radar signal. In an embodiment, several calibration sessions are performed for each user to generate a more precise user radar pattern. Thanks to this calibration, during the following urination session of the registered user, the radar sensors is configured to compare the received radar signal of the peeing user to the user radar pattern of the user profile so as to identify the peeing user.

Reference is made to French application <CIT>, which is incorporated by reference, for the details on the implementation of such a radar sensor.

In a variant or in complement, the identification system <NUM> is a hormone analyzer. The identification system <NUM> is then configured to identify the peeing user based on a specific hormone in a collected urine sample. For example, the identification system <NUM> is configured to determine that the user characteristic associated to the user sex of the peeing user is female by detecting a concentration of Luteinizing hormone greater than a predetermined threshold in the urine sample.

In a variant or in complement, the identification system <NUM> is separated from the urine analysis device <NUM>. The identification system <NUM> is then configured to communicate with the urine analysis device <NUM>. The identification system <NUM> is notably a weight sensor arranged on the toilet bowl. The weight sensor is configured to obtain weight data of the user and to send a measure representative of the weight of a user sitting on the toilet bowl to the urine analysis device <NUM>. The urine analysis device <NUM> is then configured to determine a user characteristic based on the measured weight. The user characteristic is for example a weight range associated to the user. Other examples of identification systems are presented in document <CIT> for example.

The memory <NUM> of the control circuitry <NUM> stores at least one measurement plan associated to a user profile, referred to as the "associated user profile". As it will be explained in detail below, a measurement plan defines a schedule of measurements of a biomarker to be done by the user with the urine analysis device <NUM> during a period of time. The period of time may be predetermined (for example in case of post therapeutic intervention monitoring) or may be indefinite (for example in case of cycle tracking).

To that end, each measurement plan comprises a datum related to a predetermined biomarker to analyze, referred to as the "associated biomarker". A measurement plan is therefore associated to a single biomarker to analyze. The biomarker to analyze is associated to predetermined test supports <NUM> arranged in the cartridge <NUM>.

In an embodiment, the memory <NUM> stores a plurality of measurement plans. The plurality of measurement plans may be associated to several users or to a single user but associated to several biomarkers. In that case, the cartridge <NUM> comprises a plurality of types of test supports <NUM>, each type being associated to one biomarker to be analyzed.

Each measurement plan further comprises at least one temporal analyzing window to analyze the predetermined biomarker. A temporal analyzing window is a time period defined by a starting moment and an ending moment, or by a starting moment and a given duration. Each temporal analyzing window may last less than a day, for example less than <NUM> hours, for example less than <NUM> hours, for example less than <NUM> hour.

Therefore, a personalized measurement plan is associated to the registered user, defining temporal analyzing windows when the user is expected to go to the toilets. The measurement plan enables an easy and regular monitoring without needing the user to be reminded to actively launch each urine analysis or even to remember that he or she needs to have the urine analyzed. This is particularly advantageous for users wanting to monitor biomarkers that need to be checked regularly, and which results depend on the regularity of the users (ovulation testing for example). Moreover, the measurement plan enables to avoid using test strips when not needed and may thus expand the lifetime of a cartridge.

In an embodiment, each measurement plan is at least partially generated using user lifestyle habits, in particular awakening habits or home presence habits. The awakening habits includes at least one usual wakeup time for a given day and at least one temporal analyzing window is generated using at least one usual wakeup time. In particular, at least one temporal analyzing window includes the at least one usual wakeup time. In other words, a temporal analyzing window is generated around or right after the usual wakeup time of the user. This usual wakeup time often amount to an expecting peeing time, as waking-up is often quickly followed by peeing. The awakening habits may be determined with data sent by the sleep monitoring device <NUM>.

In an embodiment, each measurement plan is generated using the associated biomarker to analyze. In particular, some biomarkers are better analyzed at some predetermined moment in the day. Some biomarkers, such as LH are preferably analyzed when the user is awakening and when the urine are more concentrated. Some biomarkers, such as pH, are preferably analyzed at the end of the day.

In an embodiment, the external device <NUM> is configured to create a temporal analyzing window in response to detecting with a sleep monitoring device <NUM> that the user is getting out of his or her bed. In other words, the sleep monitoring device may detect that the user is getting out of bed, send an alert to the external device <NUM> (e.g., the server 630a) which in response automatically create a new temporal analyzing window. The new temporal analyzing window is then sent to the urine analysis device <NUM> via the communications network <NUM>.

Some temporal analyzing windows may last longer on certain days of the week than on other days in the week. For example, temporal analyzing windows during a weekend may last longer than the rest of the week. Indeed, the lifestyle habits of a user are more uncertain during the weekend than the rest of the day, so that larger temporal analyzing windows reduce the risk for the user to miss them. Complementarily or alternatively, the temporal analyzing windows of the weekend may be at a different time from that of the week: for example, the temporal analyzing window may be 7am-8am from Monday to Friday, and maybe 8am-9am on Saturday and Sunday.

In an embodiment, the external device <NUM> is configured to redefined periodically an upcoming temporal analyzing windows based on the user habits. In particular, the duration of the upcoming temporal analyzing windows may be reduced if the user goes peeing every day in an interval of time shorter than the temporal analyzing windows. For example, if a temporal analyzing window is active every morning between 8am and 10am but the user goes peeing every day around 9am, the upcoming temporal analyzing windows may be reduced to <NUM>:30am until <NUM>:30am. On the contrary, the duration of the upcoming temporal analyzing windows may be increased and/or shifted in time if the user goes peeing every day near the starting point and/or the end point of the temporal analyzing windows. For example, if a temporal analyzing window is active every morning between 8am and 10am but the user goes peeing every day near 8am or near 10am, the upcoming temporal analyzing windows may be enlarged to <NUM>:45am until <NUM>:15am.

The different temporal analyzing windows of a same measurement plan are separated in time and are not overlapping: at any given time, there is only one temporal analyzing window of a measurement plan. The temporal analyzing windows may be periodic, for example daily, weekly, biweekly, monthly, etc..

In an embodiment, the memory <NUM> stores a plurality of measurement plans, wherein at least two temporal analyzing windows of two measurement plans may be at least partially overlapping. In particular, a user may be associated to several overlapping temporal analyzing windows of respective different measurement plan. For example, if said user follows two measurement plans, two temporal analyzing windows (one for each measurement plan) may be overlapping after his or her awakening. In complement or in variant, two users may be associated each to a temporal analyzing window, and those two temporal analyzing windows may turn out to overlap.

As it will be further described below, the predetermined biomarker of a user is only analyzed during each of the associated temporal analyzing window of the measurement plan. In other words, if the user pees on the urine analysis device <NUM> outside (timewise) the temporal analyzing windows, the urine analysis device <NUM> does not measure the predetermined biomarker, and as a consequence does not use an associated test support <NUM>.

To that end, when a user is peeing on the urine analysis device <NUM>, the control circuitry <NUM> is configured to determine that an internal time value of the internal clock <NUM> of the urine analysis device <NUM> is within at least one temporal analyzing window of a stored measurement plan associated to this user, and, in response to such determination, is configured to instruct at least one of collecting and analyzing to be performed by the urine analysis device <NUM>.

In particular, when the control circuitry <NUM> determines that the internal time value of the internal clock <NUM> is within only one temporal analyzing window associated to this user, the control circuitry <NUM> is configured to instruct collecting and analyzing to be performed by the urine analysis device <NUM> to measure the biomarker associated to said temporal analyzing window.

When the control circuitry <NUM> determines that the internal time value of the internal clock <NUM> is within at least two temporal analyzing windows associated to the same user, the control circuitry <NUM> is configured to instruct one collection of a urine sample and several analyses to be performed by the urine analysis device <NUM> to measure the at least two biomarkers associated to said temporal analyzing windows (one analysis per biomarker).

In an embodiment, the control circuitry <NUM> may be configured to activate the urine presence sensor in response to determining that an internal time value of the internal clock <NUM> is within the at least one temporal analyzing window of the measurement plan. The control circuitry <NUM> is configured to instruct one collection a urine sample when the urine presence sensor <NUM> detects a urine stream of the peeing user. As a consequence, outside the temporal analyzing windows, the urine presence sensor <NUM> is deactivated, and no urine collecting is performed. This enables saving the battery of the urine analysis device <NUM>.

When the urine analysis device <NUM> comprises an identification system <NUM> as described above, the control circuitry <NUM> is configured to instruct at least one of a collection and an analysis the urine sample to be performed in response to determining that one of the at least one identified user profile is the user profile corresponding to the associated user profile of the measurement plan of the ongoing the temporal analyzing window. In other words, the urine analysis device <NUM> performs the collection and the analysis of a urine sample only when the peeing user is identified as being potentially the user of the user profile associated to the measurement plan of the ongoing temporal analyzing window. This avoids analyzing the biomarker of another user.

When the identification system <NUM> identifies a single user profile corresponding to the peeing user, the control circuitry <NUM> is configured to instruct at least one of collecting and analyzing the urine sample to be performed in response to determining that the identified user profile is the associated user profile of the measurement plan of the ongoing temporal analyzing window.

In particular, the control circuitry <NUM> is configured to instruct at least one of collecting and analyzing the urine sample in response to identifying the peeing user using at least one user characteristic (e.g., the sex) and the user profile corresponding measurement plan of the on-going temporal analyzing window. In other words, the identification system <NUM> enables to discriminate the peeing user by determining at least a user characteristic, such as the sex of the user. For example, if a user characteristic of the user profile associated to the ongoing temporal analyzing window is "woman" (sex of the user), the identification system <NUM> may identify the sex of the peeing user and the control circuitry <NUM> launches collecting and/or analyzing only upon determining that the peeing user is a woman.

In an embodiment, the control circuitry <NUM> is configured to send to the external device <NUM>, notably the mobile terminal 630b, a confirmation request. The confirmation request asks the user associated to the ongoing temporal analyzing window for an input to confirm that said identified user profile is to be associated to the peeing user. Such a request may be sent in response to a determination that the confidence score is lower than a predetermined threshold. For example, if the confidence score is lower than <NUM>%, a confirmation request is sent to the user associated to the ongoing temporal analyzing window to confirm that he or she is the peeing user. In a variant, the confirmation request may be sent by the server 630a. For example, the confirmation request may by a pop-up in the app on the mobile terminal 630b.

In an embodiment, the urine analysis device <NUM> is configured to receive and store the at least one measurement plan in the memory <NUM>. The measurement plan may be determined using inputs from the user on the mobile terminal 630b. In particular, the user may select on the external device <NUM>, for example in an app in the mobile terminal 630b, a monitoring program among a plurality of predetermined monitoring programs.

A monitoring program <NUM> includes at least one biomarker <NUM> to measure, and a measurement frequency <NUM> associated to each biomarker. The monitoring program <NUM> may further comprise datum related to an interval of the day to preferably analyze the biomarker (for example in the morning for LH or in the afternoon for pH). As illustrated on <FIG>, the monitoring program is for example a "wellness program" 700A associated to biomarkers 710A to be tested with a measurement frequency 720A (e.g., each week in the illustrated example or after each effort), such as sodium, potassium, vitamins, protein, etc (e.g., sodium and potassium in the illustrated example). As another example, the monitoring program may be a "cycle tracking program" 700B associated to biomarkers 710B related to woman health as LH in the illustrated example and/or hCG, etc to be tested with a measurement frequency 720B (e.g., each day as in the illustrated example). The selected monitoring program is sent by the mobile terminal 630b to the server 630a. The measurement plan(s) are generated by the server 320a using the selected monitoring program and the user profile <NUM>. If the monitoring program comprises at least two biomarkers to analyze, a measurement plan is generated for each biomarker. For example, if the user selects a "wellness program", the server generates a measurement plan associated to sodium and another measurement plan associated to potassium, with temporal analyzing windows adapted to the lifestyle habits of the user indicated in the user profile <NUM> (which includes "Jane Doe" as user characteristics "identity of the user") and optionally adapted to the preferred interval of the day to analyze the biomarker. The server 630a is then configured to send the generated measurement plan(s) to the urine analysis device <NUM>. Alternatively, the measurement plan is generated by the mobile terminal 630b and may be sent afterward to the server 630a.

In an example, a user may select a monitoring program <NUM> among the plurality of available programs. After this selection, the user may be invited to choose the temporal analyzing windows that fit him or her most. As the user is identified on the app by his or her user profile <NUM>, the server 630b generates a measurement program associated to this user profile and the measurement program includes the temporal analyzing windows that were chosen by the user. In another example, when the user profile includes awakening habits, the server 630b generates a measurement program associated to the user profile and the temporal analyzing windows may be selected automatically based on the awakening habits of the user profile. A confirmation may be sent to the user.

In an embodiment, the mobile terminal 630b is configured to receive a reminder notification, sent by the server 630a, before or at the beginning of a temporal analyzing window. In that way, the user is reminded to go urinate in the toilets during the temporal analyzing window so that an analyze of his or her urine is performed.

In an embodiment, the urine analysis device <NUM> is configured to send the measurement data to a remote system <NUM>, notably to the server 630a. The remote server <NUM> is configured to associate the measurement data to the user profile associated to the ongoing temporal analyzing window. This enable a user discrimination, even if no identification is carried out. Indeed, as each temporal analyzing window is associated to a specific registered user, so that the measurement data of a user peeing in this temporal analyzing window is associated to the user profile of said specific registered user.

In an embodiment, the mobile terminal 630b is configured to receive a confirmation request, send by the server 630a. The confirmation request includes a request for input from the user to confirm that the measurement data are to be associated to his or her user profile. In an embodiment, the confirmation request may comprise a transfer request to associate the measurement data to another registered user. In particular, when the user associated to the ongoing temporal analyzing window declines the measurement data to be associated to his or her user profile because he or she was not the peeing user (e.g., by using the app connected to his or her user profile on his or her mobile terminal), the user associated to the ongoing temporal analyzing window may select in the mobile terminal 630b, notably in the app, another registered user profile to be associated with the measurement data. Following the transfer request, the measurement data may be associated to the selected user profile, or an additional confirmation request may be sent to the mobile terminal 630b of the selected user (e.g., to the app connected to the user profile that was selected). The additional confirmation request includes a request for input from the selected user to confirm that the measurement data are to be associated to his or her user profile.

When a temporal analyzing window is ongoing, (i.e. the actual internal time value of the internal clock <NUM> is within said active analyzing window), said ongoing analyzing window is closed after measurement data is associated to the user profile associated with said ongoing analyzing window.

In an embodiment, the user may modify his or her user profile using an external device <NUM>, notably the terminal mobile 630b. The terminal mobile 630b is configured to send and synchronize the modified user profile with the server 630a. In response, the server 630a is configured to update the at least one measurement plan, using the modified user profile. The server 630a is then configured to send to the urine analysis device <NUM> the at least one updated measurement plan, in replacement of the at least one ongoing measurement plan. In an embodiment, the server 630a is configured to synchronize once a day with the urine analysis device <NUM>, for example at midnight. The fewer the number of synchronizations, the longer the battery <NUM> lasts.

In an embodiment, a temporal analyzing window is classified as unconclusive when no urine sample has been analyzed during said temporal analyzing window. The external device <NUM>, notably the server 630a, may be configured to count the number of temporal analyzing windows classified as unconclusive over a predetermined period of time, for example over a week. If the number of temporal analyzing windows classified as unconclusive over the predetermined period of time is greater than a predetermined threshold, for example two or three, the server 630a is configured to send to the terminal mobile 630b a notification asking for a user input to modify the upcoming temporal analyzing windows of the measurement plan. For example, after a user wakes up several times in the week later than indicated in his or her user profile and misses several temporal analyzing windows in the week, the user may receive a notification on his or her terminal mobile 630b (e.g., in the app) inviting him or her to modify his or her awakening habits in his or her user profile.

A method of monitoring <NUM> at least one biomarker of a registered user with the urine analysis device <NUM> will now be described, in reference to <FIG> and <FIG>.

Referring to <FIG>, the method will be illustrated with a non-limiting example in which three registered users, that is to say three users with a corresponding user profile registered in the memory <NUM> of the urine analysis device <NUM>. However, the method may be applied to any number of registered users. In the example, the three users: a first woman A, a second woman B and a man C. Each of the user A, B, C is associated with a user profile, referenced respectively UA, UB and UC. Each registered user may have completed his or her user profile in a his or her respective terminal mobile 630b and each user profile is synchronized at least partially with the server 630a and the urine analysis device <NUM>.

The method of monitoring <NUM> may comprise an optional calibration phase <NUM>, a measurement plan configuration phase <NUM>, a collecting/analyzing phase <NUM>, an attribution phase <NUM> and a modification phase <NUM>. Each phase may be carried out independently from the other phases. In particular, phases <NUM> and <NUM> may be carried out several times in a row.

In an embodiment in which an identification is carried out, the method may comprise the calibration phase <NUM> comprising calibrating the urine analysis device <NUM> for each registered user, and more particularly calibrating the identification system <NUM>. During this phase <NUM>, the radar sensor sends a radar signal in direction of a urine stream of a calibration urination of the registered user and receives a reflected radar signal. The urine analysis device <NUM> determines a user radar pattern associated to the user profile of the registered user based on said reflected radar signal. The calibration phase <NUM> may be performed before, in parallel or after the measurement plan configuration phase <NUM>.

In the example, users A, B and C are invited, for example by a notification received on their terminal mobile 630b, to each go to the toilets <NUM> and to have at least a calibration urination on the urine analysis device <NUM>. The urine analysis device <NUM> determines then a user radar pattern for each user.

In a variant, in an embodiment with identification, no calibration is carried out. For example, the radar patterns associated to each registered user may be already stored in the urine analysis device <NUM> (or even no calibration is needed for the identification system).

In another variant, no identification is carried out during the method <NUM> and as a consequence no calibration is carried out.

The method further comprises the measurement plan configuration phase <NUM>. Phase <NUM> comprises selecting <NUM> a monitoring program, in which at least one registered user A, B, C selects on a user external device <NUM> a monitoring program among a plurality of predetermined monitoring programs, as illustrated on <FIG>.

In the example, user A selects monitoring program noted Px and users B and C selects the same monitoring program noted Py.

The monitoring program includes at least a biomarker to measure and a measurement frequency associated to each biomarker (e.g., twice a day, every day, twice a week, every week, every two weeks, every month, etc.).

In the example, monitoring program Px is associated to two biomarkers Bx1 (e.g., Sodium) and Bx2 (e.g., Potassium). Bx1 is associated to a daily measure frequency and Bx2 is associated to a weekly measure frequency. Monitoring program Py is associated to a single biomarker By (e.g. pH) with a daily measure frequency.

Then, the phase <NUM> comprises generating <NUM> at least one measurement plan using the selected monitoring program and the user profile. When the monitoring program comprises at least two biomarkers to analyze, a measurement plan is generated for each biomarker.

In the example, based on the user profile UA and the monitoring program Px, two monitoring programs MxA1 and MxA2 are generated. MxA1 comprises a datum related to biomarker Bx1 to analyze and a schedule of temporal analyzing windows W1A1, W1A2,. , W1AN to analyze the biomarker Bx1. MxA2 comprises a datum related to biomarker Bx2 to analyze and a schedule of temporal analyzing windows W2A1, W2A2,. , W2AN to analyze the biomarker Bx2.

Based on the user profile UB and the monitoring program Py, one monitoring program MyB is generated. MyB comprises a datum related to biomarker By to analyze and a schedule of temporal analyzing windows WB1, WB2,. , WBN to analyze the biomarker By.

Based on the user profile UC and the monitoring program Py, one monitoring program MyC is generated. MyC comprises a datum related to biomarker By to analyze and a schedule of temporal analyzing windows WC1, WC2,. , WCN to analyze the biomarker By.

The temporal analyzing windows may be generated based on lifestyle habits, notably based on awakening habits and/or home presence habits for example.

For example, user A wakes up usually around 8am during the week, excepted on Wednesday where she works on remote and wakes up around 9am. During the weekend, she wakes up around <NUM>:30am to <NUM>:<NUM> am. As a consequence, as illustrated on <FIG>, the temporal analyzing windows are defined around these usual wakeup time. It can be noted that on Monday, the temporal analyzing windows for the two measurements plan are completely overlapping. It can be also noted that the temporal analyzing windows last longer during the weekend than during the rest of the week.

In a similar way, user B wakes up earlier so that the temporal analyzing windows for user B are defined earlier than for user A. However, it can be noted that some temporal analyzing windows of measurement plans for user A and for user B are partially overlapping.

User C has indicated in his user profile that he usually doesn't urinate in the morning during the week but rather when coming back from work, but he urinates in the morning the weekend. He has further indicated that he comes back usually around <NUM>:30pm. As a consequence, as illustrated on <FIG>, the temporal analyzing windows are defined around these usual coming back from work time during the week and around the usual wakeup time during weekend.

Alternatively or complementarily, the temporal analyzing windows are generated with user inputs, or with a combination of the lifestyle habits and user inputs.

Then, the phase <NUM> comprises receiving and storing <NUM>, by the urine analysis device <NUM>, the at least one measurement plan in the memory <NUM> of the control circuitry <NUM>.

The method comprises then the collecting/analyzing phase <NUM>. The phase <NUM> comprises opening <NUM> at least a temporal analyzing window when an internal time value of the internal clock <NUM> of the control circuitry <NUM> matches the starting point of said temporal analyzing window. Opening <NUM> means, in terms of technical definition, that the urine analysis device <NUM> is unlocked to perform a measurement.

For example, supposing the current time is 8am on Monday, analyzing windows W1A1 and W2A1 are opened while WB1 was opened <NUM> minutes ago.

The external device <NUM>, notably the terminal mobile 630b of the registered user associated to the opened temporal analyzing windows (by means of the associated user profile), may receive a reminder notification before, for example <NUM> minutes before, or at the beginning of the temporal analyzing window.

The phase <NUM> may comprise activating <NUM> the urine presence sensor <NUM> at least in response to determining that an internal time value of the internal clock <NUM> is within at least one temporal analyzing window. In other words, the urine presence sensor <NUM> is activated only when at least one temporal analyzing window is opened. Alternatively, the urine presence sensor <NUM> is always activated.

Then, a user, called hereafter "peeing user", goes peeing in the toilets <NUM> and on the urine analysis device <NUM>.

In an embodiment, the phase <NUM> then comprises identifying <NUM>, by the identification system <NUM> of the urine analysis device <NUM>, at least a user profile associated with the peeing user. In particular, identifying may comprise comparing the received radar signal of the peeing user to the different user radar patterns of the user profiles stored in the memory <NUM> of the urine analysis device <NUM> Those radar patterns were obtained at calibration <NUM>. Identifying may include partially identifying the user by determining on the peeing user at least a user characteristic of the user profile, for example the sex of the user.

For example, if the peeing user is user A, who is a female, the identification system <NUM> identifies that the sex of the peeing user is female. In an advantageous embodiment, the identification system <NUM> may identify the identity of the peeing user, here user A. In other words, the identification system <NUM> may select a single user profile corresponding to the peeing user, instead of a plurality of user profiles compatible with the peeing user (e.g., selecting all the user profile that includes "woman" as the sex in the user profile when the peeing user is a woman).

In a variant, no identification is performed by the urine analysis device <NUM>.

Then, in response to determining that an internal time value of the internal clock <NUM> is within at least one temporal analyzing window, the phase <NUM> comprises at least one of collecting <NUM>, by the urine analysis device <NUM>, a urine sample from a urine stream of a peeing user, and analyzing <NUM>, by the urine analysis device <NUM>, the urine sample to obtain measurement data relative to the biomarker associated with said temporal analyzing window.

For example, if a user pees outside any temporal analyzing window, the urine presence sensor <NUM> is deactivated and collecting <NUM> and analyzing <NUM> is not performed.

In an embodiment, when no identification is performed, at least one of collecting <NUM> and analyzing <NUM> the urine sample are carried out only by determining that an internal time value of the internal clock <NUM> is within at least one temporal analyzing window.

For example, assuming peeing user is user C and current time is <NUM>:45am of Monday. Referring to <FIG>, temporal analyzing window WB1 is open. As an analyzing window is open, the control circuitry <NUM> launches collecting <NUM> and analyzing <NUM> a urine sample of the peeing user to measure biomarker By.

In an embodiment, at least one of collecting <NUM> and analyzing <NUM> the urine sample are carried out in response to further identifying, or in other words discriminating, the peeing user using the at least one user characteristic and the user profile corresponding to the temporal analyzing window.

For example, assuming peeing user is user C and current time is <NUM>:45am of Monday. Referring to <FIG>, only temporal analyzing window WB1 is open. Temporal analyzing window WB1 is associated with the measurement plan MyB of user profile UB, whose user characteristic "sex of the user" is "female". Now, assuming that the identification system <NUM> identifies that the peeing user is a male. As the sex of the peeing user does not match the user characteristic "sex of the user" of the user profile associated to the opened temporal analyzing window, the control circuitry <NUM> does not launch collecting <NUM> and analyzing <NUM> a urine sample of the peeing user.

In another example, assuming peeing user is user A and current time is <NUM>:45am of Monday. Referring to <FIG>, only temporal analyzing window WB1 is open. Temporal analyzing window WB1 is associated with the measurement plan MyB of user profile UB, whose user characteristic "sex of the user" is "female". Now, assuming that the identification system <NUM> identifies that the peeing user is a female: as the sex of the peeing user matches the user characteristic "sex of the user" of the user profile associated to the opened temporal analyzing window, the control circuitry <NUM> launches collecting <NUM> and analyzing <NUM> a urine sample of the peeing user for measuring biomarker By, even if the opened temporal analyzing window is associated to user B. In a variant, if the identification system <NUM> identifies that the identity of the peeing user as being user A, as the identity of the peeing user does not match the identity of the user profile associated to the open temporal analyzing window, the control circuitry <NUM> does not launch collecting <NUM> and analyzing <NUM> a urine sample of the peeing user. In a variant, if the identification system <NUM> identifies that the peeing user is user B, then the control circuitry <NUM> launches collection <NUM> and analyzing <NUM>.

In another example, assuming peeing user is user A and current time is <NUM>:30am on Monday. Referring to <FIG>, temporal analyzing windows W1A1 (corresponding to measurement plan Mx1A, user profile UA, user characteristics "sex of the user" is female, biomarker Bx1), W2A1 (corresponding to measurement plan Mx2A, user profile UA, user characteristics "sex of the user" is female, biomarker Bx2) and WB1 (corresponding to measurement plan MyB, user profile UB, user characteristics "sex of the user" is female, biomarker By) are open. Now, assuming that the identification system <NUM> identifies that the peeing user is a female: as the sex of the peeing user matches user characteristic "the sex of the user" of the user profile associated to each of the open temporal analyzing windows, the control circuitry <NUM> launches collecting <NUM> and analyzing <NUM> a urine sample of the peeing user, for measuring biomarkers Bx1, Bx2 and By. In particular, collecting <NUM> is performed only once to collect a urine sample and analyzing <NUM> is performed three times in a row, once for each biomarker to analyze. In a variant, assuming the identification system <NUM> identifies that the identity of the peeing user as being user A, as the identity of the peeing user match the identity of the user profile associated to temporal analyzing windows W1A1 and W2A1, the control circuitry <NUM> launches collecting <NUM> and analyzing <NUM> a urine sample of the peeing user for measuring biomarkers for measuring biomarkers Bx1 and Bx2, but not for measuring By This allows to save a test strip.

Then, the method comprises the attribution phase <NUM>. The phase <NUM> comprises sending <NUM>, by the urine analysis device <NUM>, the measurement data to a remote system <NUM>, notably to the server 630a.

During <NUM>, the measurement data is associated to the user profile corresponding to the ongoing temporal temporal analyzing window. Steps <NUM> and <NUM> may be inverted, notably if the urine analysis device <NUM> is capable of identifying a single user profile for the peeing user.

In an embodiment, the phase <NUM> comprises receiving <NUM> by a user external device <NUM>, notably by the mobile terminal 630b, a confirmation request including a request for input from the user to confirm that the measurement data is to be associated to his or her user profile. If the user validates the association, the measurement data is definitively associated to the user profile. If the user refuses the association, the measurement data is removed from the user profile. The request may be sent each time measurement data is associated to the user profile or may be sent, in an embodiment, in response to determining that the identification confidence score is lower than a predetermined threshold.

For example, assuming peeing user is user C and current time is <NUM>:45am of Monday. Referring to <FIG>, temporal analyzing window WB1 is open. As a temporal analyzing window is open, the control circuitry <NUM> launches collecting <NUM> and analyzing <NUM> a urine sample of the peeing user to measure biomarker By. The measurement data is associated to the user profile UB and a confirmation request is sent to user B who declines that the measurement data is to be associated to his user profile UB. User B may request (for example from the app connected to his or her profile UB on the mobile terminal) a transfer of the measure associated to biomarker By to user profile UC. User C then receives a confirmation request (for example on the app connected to his or her user profile UA) and may validate that the measure associated to biomarker By is to be associated to his user profile UC.

As another example, assuming peeing user is user C and current time is <NUM>:30pm of Monday. Referring to <FIG>, temporal analyzing windows WB1 (corresponding to measurement plan MyB, user profile UB, user characteristics "sex of the user" is female, biomarker By), and WC1 (corresponding to measurement plan MyC, user profile UC, user characteristics "sex of the user" is male, biomarker Byy), are opened. Now assuming the identification system <NUM> has identified the peeing user is a male with <NUM>% confidence score. The control circuitry <NUM> launches collecting <NUM> and analyzing <NUM> a urine sample of the peeing user for measuring biomarker By of the open temporal analyzing window. The measurement data is associated to the user profile UC and a confirmation request is sent to user C who validates that the measurement data is to be associated to his user profile UC.

As another example, assuming peeing user is user A and current time is <NUM>:30am on Monday. Referring to <FIG>, temporal analyzing windows W1A1 (corresponding to measurement plan MxA1, user profile UA, user characteristics "sex of the user" is female, biomarker Bx1), W2A1 (corresponding to measurement plan MxA2, user profile UA, user characteristics "sex of the user" is female, biomarker Bx2), WB1 (corresponding to measurement plan MyB, user profile UB, user characteristics "sex of the user" is female, biomarker By), and WC1 (corresponding to measurement plan MyC, user profile UC, user characteristics "sex of the user" is male, biomarker By), are opened. Now, assuming the identification system <NUM> identifies that the peeing user is a female and the control circuitry <NUM> launches collecting <NUM> and analyzing <NUM> a urine sample of the peeing user, for measuring biomarkers Bx1, Bx2 and By of the open temporal analyzing window. The measurement data associated to biomarkers Bx1 and Bx2 is associated to the user profile UA and the measurement data associated to biomarkers By is associated to the user profile UB. A confirmation request is sent to user A who validates that the measurement data associated to biomarkers Bx1 and Bx2 is to be associated to his user profile UA. A confirmation request is sent to user B who refuses that the measurement data associated to biomarkers By is to be associated to his user profile UB. User B may request (for example from the app connected to his or her profile UB on the mobile terminal), a transfer of the measure associated to biomarker By to user profile UA. User A then receives a confirmation request (for example on the app connected to his or her user profile UA) and may validate that the measure associated to biomarker By is to be associated to his user profile UA.

Then, at <NUM>, the ongoing open temporal analyzing window is closed after that measurement data is associated to the user profile associated with said ongoing temporal analyzing window.

In the previous example, as user A has validated the measurement data associated to biomarkers Bx1 and Bx2, temporal windows W1A1 and W2A1 are closed. On the contrary, as user B has refused the measurement data associated to biomarkers By, temporal window WB1 is still left opened.

In an embodiment, the number of temporal analyzing windows of a same measuring plan classified as unconclusive over a predetermined period of time (for example a week) are counted. If the number of inconclusive temporal analyzing windows is greater than a predetermined threshold (for example <NUM>), the method further comprises: receiving <NUM>, by an external user device, a notification asking the user associated to the measuring plan input to modify notably upcoming temporal analyzing windows of the measurement plan.

Claim 1:
A method of monitoring (<NUM>) at least one biomarker of a registered user with a urine analysis device (<NUM>) in a toilet (<NUM>), the urine analysis device (<NUM>) comprising control circuitry (<NUM>), the control circuitry (<NUM>) comprising an internal clock (<NUM>) and a memory (<NUM>) storing at least one measurement plan associated to a user profile (<NUM>) of the registered user, the at least one measurement plan comprising:
- a datum related to a predetermined biomarker (<NUM>) to analyze and,
- at least one temporal analyzing window to analyze the predetermined biomarker (<NUM>), wherein the method comprises:
- collecting (<NUM>), by the urine analysis device (<NUM>), a urine sample from a urine stream of a peeing user,
- analyzing (<NUM>), by the urine analysis device (<NUM>), the urine sample to obtain measurement data relative to the predetermined biomarker (<NUM>) of the peeing user,
wherein at least one of collecting (<NUM>) and analyzing (<NUM>) is performed at least in response to determining that an internal time value of the internal clock (<NUM>) is within the at least one temporal analyzing window of the measurement plan.