Office Action 4: Final Rejection (2024-12-02)
Rejection types: 101 - Patent-Eligible Subject Matter

CLAIMS:
AMENDMENTS TO THE CLAIMS

The following listing of claims will replace all previous versions and listings of claims:

Listing of Claims

1\. (Currently Amended) A wearable fetal health monitoring device for determining a health condition of a fetus based on biosignals of an expecting mother and the fetus, the wearable fetal health monitoring device comprising: an acoustic sensor configured to provide mechano-acoustically sensed phonocardiogram (aPCG) data from a first location on a maternal torso;
an optical sensor configured to provide optically sensed maternal photoplethysmogram (mPPG) data from a second location on the maternal torso, wherein the first location and the second location are mutually exclusive;
a securing device configured to provide skin contact of the acoustic sensor and the optical sensor to the maternal torso for continuous non-invasive non-clinical monitoring; and
a microcontroller configured for:
monitoring fetal movement (fM) using the acoustic sensor while operating in a first mode, wherein the first mode is a low-power vigilant monitoring state; and
upon detecting reduced fM activity, transitioning to a second mode comprising:
decomposing the mechano-acoustically sensed aPCG data using the optically sensed mPPG data to extract mechano-acoustically sensed fetal phonocardiogram (fPCG) data;
determining fetal heart rate variability (fHRV) data from the mechano- acoustically sensed fPCG data; and

providing an alert to the expecting mother based on the fHRV data, wherein the alert is indicative of a medical emergency.

2\. (Canceled)

3\. (Canceled)

4\. (Previously Presented) The wearable fetal health monitoring device of claim 1, wherein the microcontroller is further configured to calculate fetal movement (fM) data from the mechano-acoustically sensed aPCG data.

5\. (Previously Presented) The wearable fetal health monitoring device of claim 1, wherein:the optical sensor is further configured to sense maternal peripheral capillary oxygen saturation (mSpO2) data; and
transitioning to the second mode is further based upon detecting reduced mSpO2 data.

6\. (Canceled)

7\. (Previously Presented) The wearable fetal health monitoring device of claim 1, wherein the microcontroller is further configured to calculate a maternal activity level from the optical sensor.

8\. (Previously Presented) The wearable fetal health monitoring device of claim 1, further comprising one or more of: a MEMS inclinometer, an inertia sensor, and a gyroscope.

9\. (Previously Presented) The wearable fetal health monitoring device of claim 1, further comprising a patch configured to removably attach to the maternal torso.

10\. (Canceled)

11\. (Currently Amended) The wearable fetal health monitoring device of claim 1, wherein the wearable fetal health monitoring device further comprises an acoustic impedance matching housing.

12\. (Canceled)

13\. (Previously Presented) The wearable fetal health monitoring device of claim 1, further comprising an inclinometer sensor that detects a sub-audible abdominal acoustic wave.

14\. (Previously Presented) The wearable fetal health monitoring device of claim 1, wherein a first portion of the wearable fetal health monitoring device is disposable, and a second portion of the wearable fetal health monitoring device is re-usable.

15\. (Canceled)

16\. (Previously Presented) The wearable fetal health monitoring device of claim 1, further comprising a noise attenuator configured to: at least partially constructively or destructively combine a first physiological signal component of a first signal output by a first acoustic sensor and a second physiological signal component of a second signal output by a second acoustic sensor.

17\. (Currently Amended) A method of determining a health \[\[heath\]\] condition of a fetus based on biosignals of an expecting mother and the fetus, the method comprising:providing a wearable fetal health monitoring device, comprising:
 an acoustic sensor configured to provide mechano-acoustically sensed phonocardiogram (aPCG) data from a first location on a maternal torso;

an optical sensor configured to provide optically sensed maternal photoplethysmogram (mPPG) data from a second location on the maternal torso,
wherein the first location and the second location are mutually exclusive;a securing device configured to provide skin contact of the acoustic sensor and the optical sensor to the maternal torso for continuous non-invasive non- clinical monitoring;
and a microcontroller configured for:
monitoring fetal movement (fM) using the acoustic sensor while operating in a first mode, wherein the first mode is a low-power vigilant monitoring state; and
upon detecting reduced fM activity, transitioning to a second mode comprising:
decomposing the mechano-acoustically sensed aPCG data using the optically sensed mPPG data to extract mechano-acoustically sensed fetal phonocardiogram (fPCG) data;
determining fetal heart rate variability (fHRV) data from the mechano-acoustically sensed fPCG data; and
providing an alert to the expecting mother based on the fHRV data, wherein the alert is indicative of a medical emergency.

18\. (Canceled)

19\. (Previously Presented) The method of claim 17, further comprising outputting at least one of a normal state, caution state, and emergency state based on the mechano-acoustically sensed fPCG data.

20\. (Previously Presented) The method of claim 17, further comprising calculating fetal movement (fM) data from the mechano-acoustically sensed aPCG data.

21\. (Currently Amended) A non-transitory computer-readable storage medium, the non- transitory computer-readable storage medium storing instructions to be implemented on a wearable fetal health monitoring device comprising: an acoustic sensor configured to provide mechano-acoustically sensed phonocardiogram (aPCG) data from a first location on a maternal torso;
an optical sensor configured to provide optically sensed maternal photoplethysmogram (mPPG) data from a second location on the maternal torso, wherein the first location and the second location are mutually exclusive;a securing device configured to provide skin contact of the acoustic sensor and the optical sensor to the maternal torso for continuous non-invasive non-clinical monitoring; and
at least one processor;
the instructions when executed by the at least one processor cause wearable fetal health monitoring device to perform a method of determining a heath condition of a fetus based on biosignals of an expecting mother and the fetus, the method comprising:monitoring fetal movement (fM) using the acoustic sensor while operating in a first mode, wherein the first mode is a low-power vigilant monitoring state; and
upon detecting reduced fM activity, transitioning to a second mode comprising:
decomposing the mechano-acoustically sensed aPCG data using the optically sensed mPPG data to extract mechano-acoustically sensed fetal phonocardiogram (fPCG) data;
determining fetal heart rate variability (fHRV) data from the mechano-acoustically sensed fPCG data; and

Dated: June 25, 2024 providing an alert to the expecting mother based on the fHRV data, wherein the alert is indicative of a medical emergency.

22\. (Canceled)

23\. (Previously Presented) The wearable fetal health monitoring device of claim 1, wherein determining fHRV data from the mechano-acoustically sensed fPCG data comprises using empirical mode decomposition (EMD).

24\. (Canceled)

25\. (Previously Presented) The wearable fetal health monitoring device of claim 1, wherein the securing device is selected from the group consisting of a belt, a band, and an adhesive patch.

OFFICE ACTION:
DETAILED ACTION
Notice of Pre-AIA  or AIA  Status
The present application, filed on or after March 16, 2013, is being examined under the first inventor to file provisions of the AIA .
Continued Examination Under 37 CFR 1.114
A request for continued examination under 37 CFR 1.114, including the fee set forth in 37 CFR 1.17(e), was filed in this application after final rejection.  Since this application is eligible for continued examination under 37 CFR 1.114, and the fee set forth in 37 CFR 1.17(e) has been timely paid, the finality of the previous Office action has been withdrawn pursuant to 37 CFR 1.114.  Applicant's submission filed on 8/13/24 has been entered.
Status of Claims
Claims 1, 4-5, 7-9, 11, 13-14, 16-17, 19-21, 23, and 25 are rejected. Claims 2-3, 6, 10, 12, 15, 18, 22 and 24 are canceled.
Response to Arguments
Specification Objections
The previous specification objections have been withdrawn.
Claim Objection
The previous claim objection has been withdrawn in view of the amendment.
Claim Rejections - 35 USC § 112
The previous 112 rejection has been withdrawn in view of the claim being canceled.
Claim Rejections - 35 USC § 101
Applicant's arguments filed 6/25/24 have been fully considered but they are not persuasive.
Applicant argues that claim 1 recites additional limitations that reflect an improvement of a technical field (e.g., determining a health condition of a fetus based on biosignals of an expecting mother and the fetus). However, the Examiner disagrees. Providing an alert to the expecting mother of a medical emergency would not be sufficient to overcome the rejection. Providing an alert would still fall under an abstract idea. An improvement to the abstract idea is still an abstract idea.
Applicant argues that an expectant mother would not be capable of continuously monitoring for reduced fetal movement and then determine fHRV from a printout of fPCG data during home monitoring with a fetal electrocardiography (fECG) device. However, the Examiner disagrees. The breadth of the claims is broad. The claims don't specify how often this occurs and how much data is being used. Additionally, applying the abstract idea to a computer does not make the abstract idea eligible under 101.
Applicant argues that the additional elements are not well-understood, routine, or conventional in nature. However, the Examiner disagrees. Under Step 2B of the 101 rejection, the Examiner recited the additional elements of a passive sensor, an optical sensor, a securing device, decomposing the mechano-acoustically sensed aPCG data using the optically sensed mPPG data, and extracting mechano-acoustically sensed fetal phonocardiogram (fPCG) data amount to nothing more than mere pre-solution activity of data gathering, which does not amount to an inventive concept. Moreover, the passive sensor, optical sensor, securing device, decomposing step, and extracting step are recited at a high level of generality and are well-understood, routine, and conventional activities as evidenced by WO 2019133926 (¶6; ¶73), NPL “Validation of beat by beat fetal heart signals acquired from four-channel fetal phonocardiogram with fetal electrocardiogram in healthy late pregnancy” (page 3, Phonogram Signal recording section; Figs. 1-2; page 5, last ¶; Fig. 5), NPL “An IoT Based Multi-Parameter Data Acquisition System for Efficient Bio-Telemonitoring of Pregnant Women at Home” (page 619, section 4), US 20180000405 (¶101), and US 20180108440 (¶54-55; ¶59; ¶80).
The 101 rejection is maintained and has been updated to reflect the amendments.
Claim Rejections - 35 USC § 103
The 103 rejection has been withdrawn. See the Examiner’s Note section below.
Claim Objections
Claim 21 is objected to because of the following informalities: “heath” should read –health--.  Appropriate correction is required.
Claim Interpretation
The following is a quotation of 35 U.S.C. 112(f):
(f) Element in Claim for a Combination. – An element in a claim for a combination may be expressed as a means or step for performing a specified function without the recital of structure, material, or acts in support thereof, and such claim shall be construed to cover the corresponding structure, material, or acts described in the specification and equivalents thereof.
The following is a quotation of pre-AIA  35 U.S.C. 112, sixth paragraph:
An element in a claim for a combination may be expressed as a means or step for performing a specified function without the recital of structure, material, or acts in support thereof, and such claim shall be construed to cover the corresponding structure, material, or acts described in the specification and equivalents thereof.
The claims in this application are given their broadest reasonable interpretation using the plain meaning of the claim language in light of the specification as it would be understood by one of ordinary skill in the art.  The broadest reasonable interpretation of a claim element (also commonly referred to as a claim limitation) is limited by the description in the specification when 35 U.S.C. 112(f) or pre-AIA  35 U.S.C. 112, sixth paragraph, is invoked.
As explained in MPEP § 2181, subsection I, claim limitations that meet the following three-prong test will be interpreted under 35 U.S.C. 112(f) or pre-AIA  35 U.S.C. 112, sixth paragraph:
(A)	the claim limitation uses the term “means” or “step” or a term used as a substitute for “means” that is a generic placeholder (also called a nonce term or a non-structural term having no specific structural meaning) for performing the claimed function;
(B)	the term “means” or “step” or the generic placeholder is modified by functional language, typically, but not always linked by the transition word “for” (e.g., “means for”) or another linking word or phrase, such as “configured to” or “so that”; and
(C)	the term “means” or “step” or the generic placeholder is not modified by sufficient structure, material, or acts for performing the claimed function.
Use of the word “means” (or “step”) in a claim with functional language creates a rebuttable presumption that the claim limitation is to be treated in accordance with 35 U.S.C. 112(f) or pre-AIA  35 U.S.C. 112, sixth paragraph. The presumption that the claim limitation is interpreted under 35 U.S.C. 112(f) or pre-AIA  35 U.S.C. 112, sixth paragraph, is rebutted when the claim limitation recites sufficient structure, material, or acts to entirely perform the recited function.
Absence of the word “means” (or “step”) in a claim creates a rebuttable presumption that the claim limitation is not to be treated in accordance with 35 U.S.C. 112(f) or pre-AIA  35 U.S.C. 112, sixth paragraph. The presumption that the claim limitation is not interpreted under 35 U.S.C. 112(f) or pre-AIA  35 U.S.C. 112, sixth paragraph, is rebutted when the claim limitation recites function without reciting sufficient structure, material or acts to entirely perform the recited function.
Claim limitations in this application that use the word “means” (or “step”) are being interpreted under 35 U.S.C. 112(f) or pre-AIA  35 U.S.C. 112, sixth paragraph, except as otherwise indicated in an Office action. Conversely, claim limitations in this application that do not use the word “means” (or “step”) are not being interpreted under 35 U.S.C. 112(f) or pre-AIA  35 U.S.C. 112, sixth paragraph, except as otherwise indicated in an Office action.
This application includes one or more claim limitations that do not use the word “means,” but are nonetheless being interpreted under 35 U.S.C. 112(f) or pre-AIA  35 U.S.C. 112, sixth paragraph, because the claim limitation(s) uses a generic placeholder that is coupled with functional language without reciting sufficient structure to perform the recited function and the generic placeholder is not preceded by a structural modifier.  Such claim limitation(s) is/are:
a securing device in claims 1, 17, 21, and 25; and
noise attenuator in claim 16.
Because this/these claim limitation(s) is/are being interpreted under 35 U.S.C. 112(f) or pre-AIA  35 U.S.C. 112, sixth paragraph, it/they is/are being interpreted to cover the corresponding structure described in the specification as performing the claimed function, and equivalents thereof.
For “securing device” in claims 1, 7, 21, and 25 the specification recites a belt or adhesive patch (¶28). Therefore, the Examiner is interpreting the securing device to be a belt or adhesive patch.
For “noise attenuator” in claim 16, the specification recites “the noise attenuator comprises at least one of: circuitry including an amplifier, a signal processor, or a general - purpose processor” (¶76). The Examiner is interpreting the noise attenuator to be an amplifier, a signal processor, or a general purpose processor.
If applicant does not intend to have this/these limitation(s) interpreted under 35 U.S.C. 112(f) or pre-AIA  35 U.S.C. 112, sixth paragraph, applicant may:  (1) amend the claim limitation(s) to avoid it/them being interpreted under 35 U.S.C. 112(f) or pre-AIA  35 U.S.C. 112, sixth paragraph (e.g., by reciting sufficient structure to perform the claimed function); or (2) present a sufficient showing that the claim limitation(s) recite(s) sufficient structure to perform the claimed function so as to avoid it/them being interpreted under 35 U.S.C. 112(f) or pre-AIA  35 U.S.C. 112, sixth paragraph.
Claim Rejections - 35 USC § 101
35 U.S.C. 101 reads as follows:
Whoever invents or discovers any new and useful process, machine, manufacture, or composition of matter, or any new and useful improvement thereof, may obtain a patent therefor, subject to the conditions and requirements of this title.
Claims 1, 4-5, 7-9, 11, 13-14, 16-17, 19-21, 23, and 25 are rejected under 35 U.S.C. 101 because the claimed invention is directed to a judicial exception, specifically an abstract idea without significantly more.
Step 1
The claimed invention in claims 1, 4-5, 7-9, 11, 13-14, 16-17, 19-21, 23, and 25 are directed to statutory subject matter as the claims recite a wearable fetal health monitoring device, a method, and a non-transitory computer-readable storage medium for determining a health condition of a fetus based on biosignals of an expecting mother and the fetus.
Step 2A, Prong One
Regarding claims 1, 17, and 21, the recited steps are directed to certain methods of organizing human activity and a mental process of performing concepts in a human mind or by a human using a pen and paper (see MPEP 2106.04(a)(2) subsections (II) and (III)).
Regarding claims 1, 17, and 21, the limitation of “providing an alert to the expecting mother based on the fHRV data, wherein the alert is indicative of a medical emergency” is a process, as drafted, covers performance of the limitation that is directed to organizing human activity (managing personal behavior or relationships or interactions between people including social activities, teaching, and following rules or instructions). For example, this limitation is nothing more than a medical professional verbally communicating the medical emergency to the mother.
Regarding claims 1, 17, and 21, the limitation of “determining fetal heart rate variability (fHRV) data from the mechano-acoustically sensed fPCG data” is a process, as drafted, covers performance of the limitation that can be performed by a human mind (including an observation, evaluation, judgment, opinion) under the broadest reasonable standard. For example, this limitation is nothing more than a medical professional receiving a print out of fPCG data and making an evaluating of the fHRV based off of the data.
Step 2A, Prong Two
For claims 1, 17, and 21, the judicial exception is not integrated into a practical application. In particular, claims 1, 17, and 21 recite “an acoustic sensor configured to provide mechano-acoustically sensed phonocardiogram (aPCG) data from a first location on a maternal torso; an optical sensor configured to provide optically sensed maternal photoplethysmogram (mPPG) data from a second location on the maternal torso, wherein the first location and the second location are mutually exclusive; a securing device configured to provide skin contact of the acoustic sensor and the optical sensor to the maternal torso for continuous non-invasive non-clinical monitoring, a microcontroller/processor configured for monitoring fetal movement (fM) using the acoustic sensor while operating in a first mode, wherein the first mode is a low-power vigilant monitoring state; upon detecting reduced fM activity, transitioning to a second mode comprising: decomposing the mechano-acoustically sensed aPCG data using the optically sensed mPPG data to extract mechano-acoustically sensed fetal phonocardiogram (fPCG) data.” The acoustic sensor, optical sensor, securing device, and decomposing step amount to nothing more than pre-solution activity of data gathering. The microcontroller/processor and mode transitioning step are recited at a high-level of generality and amount to nothing more than a part of a generic computer. Merely including instructions to implement an abstract idea on a computer does not integrate a judicial exception into practical application.
Step 2B
The claims do not include additional elements that are sufficient to amount to significantly more than the judicial exception. As discussed above with respect to integration of the abstract idea into
a practical application, the additional elements of an acoustic sensor, an optical sensor, a securing device, decomposing the mechano-acoustically sensed aPCG data using the optically sensed mPPG data, and extracting mechano-acoustically sensed fetal phonocardiogram (fPCG) data amount to nothing more than mere pre-solution activity of data gathering, which does not amount to an inventive concept. Moreover, the acoustic sensor, optical sensor, securing device, decomposing step, and extracting step are recited at a high level of generality and are well-understood, routine, and conventional activities as evidenced by WO 2019133926 (¶6; ¶73), NPL “Validation of beat by beat fetal heart signals acquired from four-channel fetal phonocardiogram with fetal electrocardiogram in healthy late pregnancy” (page 3, Phonogram Signal recording section; Figs. 1-2; page 5, last ¶; Fig. 5), NPL “An IoT Based Multi-Parameter Data Acquisition System for Efficient Bio-Telemonitoring of Pregnant Women at Home” (page 619, section 4), US 20180000405 (¶101), and US 20180108440 (¶54-55; ¶59; ¶80). Further, simply appending well-understood, routine, conventional activities previously known to the industry, specified at a high level of generality, to the judicial exception, e.g., a claim to an abstract idea requiring no more than a generic computer to perform generic computer functions that are well-understood, routine and conventional activities previously known to the industry, as discussed in Alice Corp., 573 U.S. at 225, 110 USPQ2d at 1984 (see MPEP § 2106.05(d)). In this case, elements of general computer are being used to implement the abstract idea.
Regarding dependent claims 4-5, 7-9, 11, 13-14, 16, 19-20, 23, and 25, the limitations of claims 1, 17, and 21 further define the limitations already indicated as being directed to the abstract idea.
Examiner’s Note
Claims 1, 4-5, 7-9, 11, 13-14, 16-17, 19-21, 23, and 25 distinguish over the prior art but are still rejected under 35 USC § 101.
The following is a statement of reasons for the indication of allowable subject matter:
The scope of a fetal health monitoring device configured to use the acoustic sensor while operating in a first mode, and upon detecting reduced fetal movement activity, transitioning to a second mode was not found in the prior art alone or in combination with one another to be obvious over the prior art of record. The closest prior art of record is Queyam (NPL “An IoT Based Multi-Parameter Data Acquisition System for Efficient Bio-Telemonitoring of Pregnant Women at Home” published in 2018); however it fails to recite these features.
Conclusion

APPLICANT REBUTTAL: REMARKS
Applicant has carefully reviewed the Final Office Action mailed April 17, 2024 and offers the following remarks to accompany the above amendments. A request under the
After Final Consideration Program
(AFCP) is submitted herewith. Further, the Applicant would like to request an Examiner interview to discuss any unresolved issues.
Examiner Interview
Applicant wishes to thank Examiner Hodge and Primary Examiner Zhang for the telephonic interview conducted on June 18, 2024 and for discussing optics to advance the prosecution under an AFCP response. These topics included specifying sensor locations to help overcome the rejection under 35 U.S.C. 101.
Summary of Remarks
With respect to the rejected claims, the cited art fails to disclose or suggest a wearable fetal health monitoring device configured for continuous non-invasive non-clinical monitoring and having a microcontroller configured for:
monitoring fetal movement (fM) using the
passive
acoustic
sensor
while operating in a first mode, wherein the first mode is a
reduced power mode
low-
p
ower vi
g
ilant monitorin
g
state;
and
upon detecting reduced fM activity, transitioning to a second mode
comprising:
decomposing the mechano-acoustically sensed aPCG data
using the optically sensed mPPG data to extract mechano- acoustically sensed fetal phonocardiogram (fPCG) data; determining fetal heart rate variability (fHRV) data from the mechano-acoustically sensed fPCG data; and
providing an alert to the expecting mother based on the fHRV
data, wherein the alert is indicative of a medical emer
g
ency.
Status of the Claims
Claims 1, 3-9, 11, 13-14, 17, and 19-25 were previously pending. Claims 1, 17, and 21 are amended herein. Claims 2-3, 10, 12, 15, and 18 were previously canceled. Claims 6, 22, and 24 are canceled herein. No claims are added herein. As such, claims 1, 4-5, 7-9, 11, 13-14, 17, 19-21, 23, and 25 remain pending.
Objection to the Specification
The Specification stands objected to as failing to provide proper antecedent basis for the claimed subject matter. Specifically, the claim terms "reduced power mode" and "passive sensor" in claims 1, 17, and 21 are objected to.
The claim term "reduced power mode" in claims 1, 17, and 20 has been amended to recite a "low-power vigilant monitoring state" as disclosed in the following paragraph of the Specification:
[0047] Quick cycle 202 may return the device/system back to the
low-power vigilant monitoring state (i.e., to vigilant monitor 201) when one or more of the following exemplary conditions are met: no bradycardia, no tachycardia, and adequate accelerations of 12-15 bpm above baseline twice in twenty (20) minutes or once with fM. A partial pass is considered brief periods of minor bradycardia or tachycardia, or inadequate acceleration intensity or frequency 10-12 bpm above baseline or once in twenty (20) minutes. If the condition of 1st partial pass in 12 hours 206 is met, vigilant monitoring will resume; if the condition is not met, a concern warning 207
is generated, followed by a detailed interrogation cycle (such as detailed cycle 203) is initiated by the device/system. In one embodiment, detailed
cycle 203 runs for a minimum of thirty (30) minutes, and investigates fHRV, fM, and mSpO2 in more detail. Detailed cycle 203 pass conditions may include the same conditions as those required for passing quick cycle 202 in addition to no erratic or spontaneous fetal cardiac decelerations. In at least one embodiment, the frequency and duration of acceleration events may be set to equal to or larger than a baseline from a prior week. A critical failure condition such as critical fail 204 is established if any of the following is true: sustained tachycardia or bradycardia, a distinct lack of variability that meets minimum requirements, a significant reduction in frequency or duration of acceleration events when compared to weekly values. A critical failure triggers a critical alert 208. On the other hand, a general failure triggers number of fails 205 module that performs a comparison by first counting a number of detailed cycle 203 failures since a last pass. If number of fails counted is less than three (3), a concern warning is sent by the device/system, and another detailed cycle 203 is commenced. In at least one embodiment, the occurrence of three consecutive non-critical failures within a 90-minute time interval triggers critical alert 208. According to at least one embodiment, at startup of the device and at least once per day, the device runs the quick cycle 202 interrogation for calibration and as a manner of maintaining weekly records (or records at other predetermined time periods) for longitudinal
monitoring requirements in the diagnostic algorithm.
The claim term "passive sensor" in claims 1, 17, and 20 has been amended to recite an "acoustic sensor" as disclosed in the following paragraph of the Specification:
[0056] Acoustic sensor 502 operates to transduce abdominal
sounds sensed at an abdominal phonocardiogram (aPCG). In at least one embodiment, an abdominal acoustic signal passes through source separation algorithm 503. Source separation algorithm 503 decomposes the abdominal acoustic signal using the maternal heart rate information obtained by optical sensor 501. During low-power vigilant monitoring state (e.g., during vigilant monitor 201) and during quick interrogation cycle (e.g., during quick cycle 202), a low-fidelity source separation algorithm may be used for signal extraction, including band pass filtering, empirical mode decomposition (EMD), and clustering of intrinsic mode functions (IMF) by signal type. In one embodiment, the IMFs may be selectively recombined into signals such as fetal movement signal (i.e., fM 504) and fetal phonocardiogram signal (i.e., fPCG 505). In detailed interrogation mode of detailed cycle 203, a high-fidelity source separation algorithm is used. The high-fidelity source separation algorithm may include technics such as bandpass filtering, short-time Fourier transform of the abdominal acoustic signal, and audio source separation using a deep neural network generated soft mask. The detailed interrogation mode of the detailed cycle 203 may use these high-fidelity source separation algorithm technics to remove or separate maternal phonocardiogram and abdominal signals.
Subsequently, fM  and fPCG are separated using empirical mode decomposition EMD. In vigilant monitoring state (e.g., at vigilant monitor 201), after signal acquisition and source separation, fM 504 and mSpO2 507 are sent to a condition classifier algorithm to determine a pass/fail state
discussed in FIG. 2.
Accordingly, it is respectfully submitted that the objection to the specification be withdrawn.
Objection to the Claims
Claim 17 is objected to due to a spelling error. The preamble of claim 17 has been amended as follows:
A method of determining a
health
[[heath]] condition of a fetus
based on biosignals of an expecting mother and the fetus, the method
comprising:
Accordingly, it is respectfully submitted that the objection to claim 17 be withdrawn.
Claim Rejections - 35 USC § 112
Claim 22 stands rejected under 35 U.S.C. 112 as failing to comply with the written description requirement. The Office Action contends that claim 22 contains subject matter which was not described in the Specification in such a way as to reasonably convey to one skilled in the relevant art that the inventors at the time the application was filed, had possession of the claimed invention.
In an effort to advance prosecution, Applicant has canceled claim 22 rendering its rejection under 35 U.S.C. 112 moot.
Claim Rejections Under 35 U.S.C. § 103
Claims 1, 4, 7-9, 17, 20-21, and 24-25 are rejected under 35 U.S.C. 103 as being unpatentable over Queyam (NPL "An IoT Based Multi-Parameter Data Acquisition System for Efficient Bio-Telemonitoring of Pregnant Women at Home" published in 2018) in view of Holt (WO 2019133926 filed on 12/28/18), Khandoker (NPL "Validation of beat by beat fetal heart signals acquired from four-channel fetal phonocardiogram with fetal
in healthy late pregnancy published in 2018), and Hayes (WO
filed on 4/2/14).
Claim 1 has been amended to recite:
A wearable fetal health monitoring device for determining a health
condition of a fetus based on biosignals of an expecting mother and the
fetus, the wearable fetal health monitoring device comprising:
a passive
an acoustic
sensor configured to provide mechano- acoustically sensed phonocardiogram (aPCG) data from a first location
on a maternal torso;
an optical sensor configured to provide optically sensed maternal
photoplethysmogram (mPPG) data from a second location on the
maternal
torso, wherein the first location and the second location are
mutually exclusive
;
a securing device configured to provide skin contact of the
passive
acoustic
sensor and the optical sensor to the maternal torso for
continuous non-invasive non-clinical monitoring; and
a microcontroller configured for:
monitoring fetal movement (fM) using the
pa
ssive
acoustic
sensor
while operating in a first mode, wherein the first mode is a
reduced po
w
er mod
e
low-
p
ower vi
g
ilant monitorin
g
state;
and
upon detecting reduced fM activity, transitioning to a second mode
comprising:
decomposing the mechano-acoustically sensed aPCG data using
the optically sensed mPPG data to extract mechano- acoustically sensed fetal phonocardiogram (fPCG) data;
determining fetal heart rate variability (fHRV) data from the
mechano-acoustically sensed fPCG data; and
providing an alert to the expecting mother based on the fHRV dataL
wherein the alert is indicative of a medical emer
g
ency.
Support for amended claim 1 may be found in at least the paragraphs [0047] and [0056] as previously presented under Objection to the Specification, and the following paragraph of the Specification:
[0050] In at least one embodiment, the operational decision-making
cycle as shown in FIG. 2 further includes an alert such as critical alert 208. Critical alert 208 may notify the user to call an emergency medical hotline or make an emergency clinical visit.  In a telemedicine embodiment, an alert will be sent to a monitoring clinician. In a shared
user embodiment, an alert can be sent to other authorized access holders.
[0052] As shown in FIG. 3B and FIG. 3C, for example, in one
embodiment, the only contact points between dermis and patch 110 may exist at pulse oximeter module 307 and one or more acoustic impedance couplers 308. the rest of the patch 110 surface may be isolated from the
body or dermis by breathable substrate 310.
FIG. 3C
The cited art fails to disclose or suggest a wearable fetal health monitoring device configured for continuous non-invasive non-clinical monitoring and having a microcontroller configured for:
monitoring fetal movement (fM) using the acoustic sensor while
operating in a first mode, wherein the first mode is a low-power vigilant
monitoring state; and
upon detecting reduced fM activity, transitioning to a second mode
comprising:
decomposing the mechano-acoustically sensed aPCG data using the optically sensed mPPG data to extract mechano- acoustically sensed fetal phonocardiogram (fPCG) data;
determining fetal heart rate variability (fHRV) data from the mechano-acoustically sensed fPCG data; and
providing an alert to the expecting mother based on the fHRV data, wherein the alert is indicative of a medical emergency.
On page 12 of the Office Action, the Examiner contends that Queyam discloses a first mode that is a reduced power mode on page 620 "Fetal Movement section-detection of the fetal movements."
Applicant has fully reviewed the Section 6 Fetal Movement of Queyam and can find not disclosure of a reduced power mode or a first mode that is a low-power vigilant monitoring state. (See below reproduced page 620 of Queyam.) Moreover Queyam teaches away from such a low power mode by continuously transmitting the acquired data to a PC installed with National Instruments (NI) LabVIEW software. Additionally, the other cited references fail to disclose a first mode that is a low-power vigilant monitoring state.
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As such, amended claim 1 is allowable.
Claims 4 and 7-9 depend directly from now allowable claim 1. As such, claims 4 and 7-9 are allowable at least by virtue of their dependence from claim 1.
Claim 17 has been amended to include features that are similar to amended claim 1. As such claiml7 is also allowable.
Claim 20 depends directly from now allowable claim 17. As such, claim 20 is allowable at least by virtue of its dependence from claim 17.
Claim 21 has been amended to include features that are similar to amended claim 1. As such claim 17 is also allowable.
Claim 24 has been canceled rendering its rejection moot.
Claim 25 depends directly from now allowable claim 1. As such, claim 25 is allowable at least by virtue of its dependence from claim 1.
Claim 5 stands rejected under 35 U.S.C. 103 as being unpatentable over Queyam in view of Holt, Khandoker, and Hayes as applied to claims 1, 4, 7-9, 17, 20-21, and 24-25 above, and further in view of Venugopalan (US 20170049414 filed on 5/22/15), hereinafter referred to as Ven.
Nowhere do the cited references disclose transitioning to the second mode is further based upon detecting reduced mSpO2 data.
Claim 5 depends directly from now allowable claim 1. As such, claim 5 is allowable at least by virtue of its dependence from claim 1.
Claim 6 is rejected under 35 U.S.C. 103 as being unpatentable over Queyam in view of Holt, Khandoker, and Hayes as applied to claims 1, 4, 7-9, 17, 20-21, and 24-25 above, and further in view of Stahmann (US 7787946 filed on 9/1/04).
Claim 6 has been canceled rendering its rejection moot.
Claim 11 stands rejected under 35 U.S.C. 103 as being unpatentable over Queyam in view of Holt, Khandoker, and Hayes as applied to claims 1, 4, 7-9, 17, 20-21, and 24-25 above, and further in view of Zia (US 20140180153 filed on 12/23/13).
Claim 11 depends directly from now allowable claim 1. As such, claim 11 is allowable at least by virtue of its dependence from claim 1.
Claim 13 is rejected under 35 U.S.C. 103 as being unpatentable over Queyam in view of Holt, Khandoker, and Hayes as applied to claims 1, 4, 7-9, 17, 20-21, and 24-25 above, and further in view of Ransbury (US 20180317789 filed on 5/2/18).
Claim 13 depends directly from now allowable claim 1. As such, claim 13 is allowable at least by virtue of its dependence from claim 1.
Claim 14 stands rejected under 35 U.S.C. 103 as being unpatentable over Queyam in view of Holt, Khandoker, and Hayes as applied to claims 1, 4, 7-9, 17, 20-21, and 24-25 above, and further in view of Khine (US 20170086709 Al as cited in the IDS and filed on 5/18/15).
Claim 14 depends directly from now allowable claim 1. As such, claim 14 is allowable at least by virtue of its dependence from claim 1.
Claims 16 and 19 stand rejected under 35 U.S.C. 103 as being unpatentable over Queyam in view of Holt, Khandoker, and Hayes as applied to claims 1, 4, 7-9, 17, 20-21, and 24-25 above, and further in view of Bureev (RU 2656518 filed on 3/6/14).
Claim 16 depends directly from now allowable claim 1. As such, claim 16 is allowable at least by virtue of its dependence from claim 1.
Claim 19 depends directly from now allowable claim 17. As such, claim 19 is allowable at least by virtue of its dependence from claim 17.
Claim 22 stands rejected under 35 U.S.C. 103 as being unpatentable over Queyam in view of Holt, Khandoker, and Hayes as applied to claims 1, 4, 7-9, 17, 20-21, and 24-25 above, and further in view of Oliveira (NPL "Adaptive Sojourn Time HSMM for Heart Sound Segmentation" published in 2019).
Claim 22 has been canceled rendering its rejection moot.
Claim 23 stands rejected under 35 U.S.C. 103 as being unpatentable over Queyam in view of Holt, Khandoker, and Hayes as applied to claims 1, 4, 7-9, 17, 20-21, and 24-25 above, and further in view of Vadali (NPL "Fetal Phonocardiogram Decomposition Framework" published in 2018).
Claim 23 depends directly from now allowable claim 1. As such, claim 23 is allowable at least by virtue of its dependence from claim 1.
Accordingly, it is respectfully submitted that the rejection under 35 U.S.C. 103 of claims 1, 4-5, 7-9, 11, 13-14, 17, 19-21, 23, and 25 be withdrawn.
Claim Rejections Under 35 U.S.C. 101
Claims 1, 4-9, 11, 13-14, 16-17, and 19-25 stand rejected under 35 U.S.C. 101 because the claimed invention is directed to a judicial exception (i.e., a law of nature, a natural phenomenon, or an abstract idea) without significantly more. The Office Action further contends claims 1, 4-9, 11, 13-14, 16-17, and 19-25 are directed toward an abstract idea related to certain methods of organizing human activity such as commercial or legal
interactions including advertising, marketing or sales activities or behaviors, or business relations and fail to pass Step 2A - Prong 1 of the Alice/Mayo analysis. Additionally, the Office Action contends claims 1, 4-9, 11, 13-14, 16-17, and 19-25 are not integrated into a practical application and fail to pass Step 2A - Prong 2 of the Alice/Mayo analysis. Finally, the Office Action contends claims 1, 4-9, 11, 13-14, 16-17, and 19-25 do not include additional elements that are sufficient to amount to significantly more than the judicial exception and fail to pass Step 2B of the Alice/Mayo analysis.
The following remarks will address claims 1, 4-9, 11, 13-14, 16-17, and 19-25 in regard to Step 2A - Prong 2 and Step 2B of the Alice/Mayo analysis.
Updates to the Federal Register / Vol 84. No. 4 on Monday, January 7, 2019 titled "2019 Revised Patent Subject Matter Eligibility Guidance" recites the following regarding Step 2A - Prong 2:
Prong Two represents a change from prior guidance. The analysis under Prong Two is the same for all claims reciting a judicial exception, whether the exception is an abstract idea, a law of nature, or a natural phenomenon.
In the context of revised Step 2A, the following exemplary considerations are indicative that an additional element (or combination of elements) [24]
may have integrated the exception into a practical application:
e An additional element reflects an improvement in the functioning
of a computer, or an improvement to other technology or technical
field.
Additionally, slide 19 of the 2019 PEG -Advanced Module dated January 2019 identifies Step 2A as a two prong inquiry with updated guidance to Step 2A-Prong 2 as follows:
o Revised Step 2A: Prong Two
New procedure not found in prior guidance:e Identifying whether there are any additional elements recited in the claim beyond the judicial exception(s), and
"Integration into a practical application"
e Requires an additional element or a combination of additional elements in the claim to apply, rely on, or use the judicial exception in a manner that imposes a meaningful limit on the judicial exception, such that the claim is more than a drafting effort designed to monopolize the exception. e  Uses the considerations laid out by the Supreme Court and the Federal Circuit to evaluate whether the judicial exception is integrated into a practical application.
Further, page 11 of the USPTO Memorandum titled "October 2019 Update: Subject Matter Eligibility" recites the following regarding Step 2B -Prong 2:
"For example, if the additional limitations reflect an improvement in the functioning of a computer, or an improvement to another technology or technical field, the claim integrates the judicial exception into a practical application and thus imposes a meaningful limit on the judicial exception.
No further analysis is required. The claim is eligible at Step 2A."
Amended claim 1 recites additional limitations that reflect an improvement of a technical field (e.g., determining a heath condition of a fetus based on biosignals of an expecting mother and the fetus). More specifically, amended claim 1 recites a wearable fetal health monitoring device configured for continuous non-invasive non-clinical monitoring, and including additional limitations as follows:
a microcontroller configured for:
monitoring fetal movement (fM) using the acoustic sensor while
operating in a first mode, wherein the first mode is a low-power vigilant
monitoring state; and
upon detecting reduced fM activity, transitioning to a second mode
comprising:
decomposing the mechano-acoustically sensed aPCG data using
the optically sensed mPPG data to extract mechano-acoustically sensed
fetal phonocardiogram (fPCG) data;
determining fetal heart rate variability (fHRV) data from the
mechano-acoustically sensed fPCG data; and
providing an alert to the expecting mother based on the fHRV dataL
wherein the alert is indicative of a medical emergency.
In addition to the microcontroller of the wearable fetal health monitoring device, the claim is further limited by a an acoustic sensor configured to provide mechano-acoustically sensed phonocardiogram (aPCG) data from a first location on a maternal torso and an optical sensor configured to provide optically sensed maternal photoplethysmogram (mPPG) data from a second location on the maternal torso, wherein the first location and the second location are mutually exclusive.
As such, determining a heath condition of a fetus based on biosignals of an expecting mother and the fetus is improved.
A person of ordinary skill in the art would understand that such a method must be implemented on a computing device. Basically, an expectant mother would not be capable of continuously monitoring for reduced fetal movement and then determine fHRV from a printout of fPCG data during home monitoring with a fetal electrocardiography (fECG) device. Accordingly, amended claim 1 recites a practical application. As such for the reasons above, amended claim 1 passes Step 2A Prong Two of the Alice/Mayo analysis.
In the event the Patent Office believes amended claim 1 is still directed at a judicial exception that is not integrated into a practical application and fails to pass Step 2A of the Alice/Mayo analysis, a further analysis of amended claim 13 against Step 2B follows.
The following paragraph and reference are recited on page 51 in the updates to the Federal Register /Vol 84. No. 4 on Monday, January 7, 2019 titled "2019 Revised Patent Subject Matter Eligibility Guidance":
Finally, if further analysis at Step 2B is needed (for example to determine whether the claim merely recites well-understood, routine, conventional activity), this 2019 Revised Patent Subject Matter Eligibility Guidance explains that the examiner or administrative patent judge will proceed in
accordance with existing USPTO guidance as modified in April 2018.[6]
6. USPTO Memorandum of April 19, 2018, "Changes in Examination Procedure Pertaining to Subject Matter Eligibility, Recent Subject Matter
Eligibility Decision (Berkheimer v. HP, Inc.)" (Apr. 19, 2018),
The above USPTO Memorandum recites in Section III updated requirements for a Step 2B analysis of Alice/Mayo. As Applicant understands this guidance, the Examiner must support a 101 rejection using at least one of the following four points of the Memorandum
to determine that the combination of elements are well-understood, routine or conventional in nature:
1. A citation to an express statement in the specification or to a statement
made by an applicant during prosecution that demonstrates the well- understood, routine, conventional nature of the additional element(s). A specification demonstrates the well-understood, routine, conventional nature of additional elements when it describes the additional elements as well-understood or routine or conventional (or an equivalent term), as a commercially available product, or in a manner that indicates that the additional elements are sufficiently well-known  that the specification does not need to describe the particulars of such additional elements to satisfy 35 U.S.C. § 112(a). A finding that an element is well-understood, routine, or conventional cannot be based only on the fact that the specification is silent with respect to describing
such element.
2. A citation to one or more of the court decisions discussed in MPEP Q
(d)(II) as noting the well-understood, routine, conventional
nature of the additional element(s).
3. A citation to a publication that demonstrates the well-understood,
routine, conventional nature of the additional element(s). An appropriate publication could include a book, manual, review article, or other source that describes the state of the art and discusses what is well-known and in common use in the relevant industry. It does not include all items that might otherwise qualify as a "printed publication"
is a distinct inquiry from whether something is well-known, routine,
conventional activity. A document may be a printed publication but still fail to establish that something it describes is well-understood, routine, conventional activity. See Exergen Corp., 2018 WL 1193529, at *4 (the single copy of a thesis written in German and located in a German university library considered to be a "printed publication" in Hall "would not suffice to establish that something is 'well-understood, routine, and conventional activity previously engaged in by scientists who work in the field"'). The nature of the publication and the description of the additional elements in the publication would need to demonstrate that the additional elements are widely prevalent or in common use in the relevant field, comparable to the types of activity or elements that are so well-known that they do not need to be described in detail in a patent application to satisfy 35 U.S.C. § 112(a). For example, while U.S. patents and published applications are publications, merely finding the additional element in a single patent or published application would not be sufficient to demonstrate that the additional element is well-understood, routine, conventional, unless the patent or published application demonstrates that the additional
element are widely prevalent or in common use in the relevant field.
4. A statement that the examiner is taking official notice of the well- understood, routine, conventional nature of the additional element(s).
This option should be used only when the examiner is certain, based upon his or her personal knowledge, that the additional element(s) represents well-understood, routine, conventional activity engaged in by those in the relevant art, in that the additional elements are widely prevalent or in common use in the relevant field, comparable to the types of activity or elements that are so well-known that they do not need
(a). Procedures for taking official notice and addressing an applicant's challenge to official notice are discussed in MPEP Q
.
Taking into account the above guidance, it is clear that the
additional elements
recited in the present claims amount to significantly more than the judicial exception and therefor are patent-eligible subject matter because the
additional elements
is not well- understood, routine, or conventional in nature as required by at least one of the above four points of the Memorandum.
Regarding point 1 of the Memorandum, nowhere has Applicant cited in the Specification, or during prosecution that the above
additional elements
would be well- understood, routine, or conventional in nature to a person of ordinary skill in the art at the priority date of the application.
Regarding point 2 of the Memorandum, Applicant is unaware of any court decisions discussed in MPEP § 2106.05(d)(II) as noting a well-understood, routine, or conventional in nature the above
additional elements.
Regarding point 3 of the Memorandum, the Office Action fails to cite any references that disclose the above
additional elements
as well-understood, routine, or conventional in nature. (See Applicants arguments within the response to the rejection of claim 1 under 35 U.S.C. 103.)
Regarding point 4 of the Memorandum, the Examiner has not taken official notice in the Office Action that the above
additional elements
are well-understood, routine, or conventional in nature.
As such, amended claim 1 in addition to passing Step 2A also passes Step 2B of the
Alice/Mayo analysis.
Claims 6, 22 and 24 have been cancelled rendering their rejection moot.
Claims 4-5, 7-9, 11, 13-14, 16, 23, and 25 depend directly from amended claim 1 and are allowable at least by virtue of their dependence from amended claim 1.
Claim 17 and 21 have been amended to include features that are similar to amended claim 1. As such claims 17 and 21 are also allowable.
Claims 19-20 depend directly from amended claim 17 and are allowable at least by virtue of their dependence from amended claim 17.
Accordingly, it is respectfully submitted that the rejection under 35 U.S.C. 101 of claims 1, 4-5, 7-9, 11, 13-14, 17, 19-21, 23, and 25 be withdrawn.
CONCLUSION

NEXT OFFICE ACTION: DETAILED ACTION
Notice of Pre-AIA  or AIA  Status
The present application, filed on or after March 16, 2013, is being examined under the first inventor to file provisions of the AIA .
REASONS FOR ALLOWANCE
The following is an examiner’s statement of reasons for allowance:
The scope of a fetal health monitoring device configured to use the first acoustic sensor while operating in a first mode, and upon detecting reduced fetal movement activity, transitioning to a second mode was not found in the prior art alone or in combination with one another to be obvious over the prior art of record. The closest prior art of record is Queyam (NPL “An IoT Based Multi-Parameter Data Acquisition System for Efficient Bio-Telemonitoring of Pregnant Women at Home” published in 2018); however it fails to recite these features.
Any comments considered necessary by applicant must be submitted no later than the payment of the issue fee and, to avoid processing delays, should preferably accompany the issue fee.  Such submissions should be clearly labeled “Comments on Statement of Reasons for Allowance.”
Conclusion

CITED REFERENCE SUMMARIES: Ref US20180000405: Claims:
1. A modular system for monitoring health parameters of a user, the modular system comprising:
a housing comprising: a plurality of sensors disposed on an outer surface of the housing or within the housing for measuring a plurality of parameters of interest; a processor disposed in the housing and communicatively coupled to the plurality of sensors; a coupling element positioned on the outer surface the housing for coupling the housing to an accessory; and an accessory identifier positioned on the housing or within the housing, the accessory identifier communicatively coupled to the processor,
wherein the housing is reversibly transitionable between an uncoupled state and a coupled state with the accessory, and
wherein, in the coupled state, the accessory identifier senses a type of accessory and the processor activates a subset of the plurality of sensors to measure a subset of the plurality of parameters of interest.
2. The modular system of claim 1, wherein the subset of the plurality of parameters of interest measured changes based on the type of accessory coupled to the housing.
3. The modular system of claim 1, wherein the accessory identifier comprises a plurality of electrical terminals.
4. The modular system of claim 3, wherein, in the coupled state, the plurality of electrical terminals is connected to a plurality of electrical receptacles on the accessory, and wherein an impedance between the plurality of electrical receptacles is detectable by the accessory identifier.
5. The modular system of claim 1, wherein the accessory is one or more of: wearable by a user and positionable proximate a user.
6. The modular system of claim 1, further comprising an antenna and transceiver communicatively coupled to the processor, wherein the antenna and transceiver wirelessly transmit the subset of the plurality of parameters of interest to a computing device.
7. The modular system of claim 6, wherein the subset of the plurality of parameters of interest are displayable to a user on a display of the computing device.
8. The modular system of claim 7, wherein a graphical user interface displayed on the display of the computing device adapts based on the type of accessory identified.
9. The modular system of claim 1, wherein the plurality of sensors includes one or more of: a physiological sensor, a bio-potential sensor, an activity sensor, an optical sensor, a bio-impedance sensor, an acoustic sensor, an ultrasound sensor, an electrochemical sensor, a near-infrared spectroscopy sensor, and a temperature sensor.
10. The modular system of claim 1, wherein the type of accessory is one of a wristband, a bra clip, a first trimester belly patch, a second trimester belly patch, a third trimester belly patch, a pregnancy support belt, a patch coupled to baby clothing, and an accessory integrated into clothing.
11. The modular system of claim 1, wherein during pre-conception, the plurality of sensors measure one of: a paternal subset of the plurality of parameters of interest and a maternal subset of the plurality of parameters of interest.
12. The modular system of claim 9, wherein the paternal subset of the plurality of parameters of interest include one or more of: an activity level, a sleep quality, a stress level, an oxygen saturation level, a cardiorespiratory fitness level, a heart rate, and a heart rate variability.
13. The modular system of claim 9, wherein the maternal subset of the plurality of parameters of interest include one or more of: an activity level, a sleep quality, a stress level, an oxygen saturation level, a cardiorespiratory fitness level, a heart rate, and a heart rate variability.
14. The modular system of claim 1, wherein during pregnancy, the plurality of sensors measures a maternal subset of the plurality of parameters of interest and a fetal subset of the plurality of parameters of interest.
15. The modular system of claim 14, wherein the maternal subset of the plurality of parameters of interest include one or more of: an electrohysterography signal, maternal uterine activity, maternal uterine contractions, maternal heart electrical activity, maternal heart rate, maternal heart rate variability, a maternal activity level, a maternal sleep quality, a maternal oxygen saturation level, a maternal cardiorespiratory fitness level, and a maternal stress level.
16. The modular system of claim 14, wherein the fetal subset of the plurality of parameters of interest include one or more of: fetal movement, fetal heart electrical activity, fetal heart sound, fetal heart rate, fetal heart rate variability, an amount of amniotic fluid, placental oxygenation, placental temperature, placental pH, fetal breathing, fetal position, fetal orientation, and fetal distress.
17. The modular system of claim 1, wherein during post-partum, the plurality of sensors measure one of: a maternal subset of the plurality of parameters of interest, a newborn subset of the plurality of parameters of interest, and a paternal subset of the plurality of parameters of interest.
18. The modular system of claim 17, wherein the maternal subset of the plurality of parameters of interest include one or more of: an activity level, a sleep quality, stress level, an oxygen saturation level, a cardiorespiratory fitness level, heart rate, and heart rate variability.
19. The modular system of claim 17, wherein the newborn subset of the plurality of parameters of interest include one or more of: a heart rate, heart rate variability, blood oxygenation level, breathing rate, movement, temperature, and vocal sounds.
20. The modular system of claim 17, wherein the paternal subset of the plurality of parameters of interest include one or more of: an activity level, a sleep quality, a stress level, an oxygen saturation level, a cardiorespiratory fitness level, a heart rate, and a heart rate variability.
21. The modular system of claim 1, wherein the modular system is configured for use with a plurality of users and to identify each of the plurality of users based on an identification of the accessory coupled to the housing.
22. A system for measuring health parameters of a user, the system comprising:
a plurality of sensors for measuring a plurality of parameters of interest of a user; a coupling element for coupling the system to an accessory worn by or positionable proximate the user; and a processor communicatively coupled to the plurality of sensors,
wherein the processor analyzes a plurality of sensor outputs from the plurality of sensors and automatically determines a type of the accessory coupled to the system based on the analyzed plurality of sensor outputs.
23. The system of claim 22, wherein the plurality of parameters of interest of the user includes one or more of: a maternal activity level, maternal sleep quality, maternal stress level, maternal oxygen saturation level, maternal cardiorespiratory fitness level, maternal heart rate, maternal heart rate variability, maternal electrohysterography signal, maternal uterine activity, maternal uterine contractions, maternal heart electrical activity, paternal activity level, paternal sleep quality, paternal stress level, paternal oxygen saturation level, paternal cardiorespiratory fitness level, paternal heart rate, paternal heart rate variability, paternal heart electrical activity, fetal movement, fetal heart electrical activity, fetal heart sound, fetal heart beat, fetal heart rate, fetal heart rate variability, an amount of amniotic fluid, placental oxygenation, placental temperature, placental pH, fetal breathing, fetal position, fetal orientation, fetal distress, fetal breathing movement, newborn heart rate, newborn blood oxygenation level, newborn breathing rate, newborn movement, newborn temperature, and newborn vocal sounds.
Ref US20180108440: Claims:
1. A system for receiving and transducing biological events into electrical signals and diagnosing a medical condition based thereon, the system comprising:
a sensor array comprising a vibro-acoustic sensor for measuring body sounds of a target living organism and a bio-electric sensor for measuring a bio-electric signal of the target living organism; a processor; and a machine learning module, executable by the processor and trained on signals characteristic of the sensor array, the machine learning module receiving signals from the sensors and, based on the training, outputting a probability indicative of a physiological condition.
2. The system of claim 1, wherein the physiological condition is a biomarker.
3. The system of claim 1, wherein the sensor array further comprises one or more sensors for measuring at least one environmental stimulus or condition.
4. The system of claim 3, wherein the at least one environmental stimulus or condition is at least one of skin temperature, ambient temperature, barometric pressure, 9-axis motion geolocation, location-dependent real-time weather conditions, galvanic skin response, or pollution.
5. The system of claim 1, wherein the sensor array comprises at least one sensor for measuring at least one of wavelength transmittance/absorbance, oxygen saturation, ambient skin temperature, core temperature, ACG, BCG, VCG, EKG, EMG, EOG, EEG, VOC excretion or vocal tonal inflection.
6. The system of claim 1, wherein the sensor array further comprises an optical sensor.
7. The system of claim 1, further comprising a database of longitudinal health records, the health record of a target living organism being monitored by the sensors providing an input to the machine learning module.
8. The system of claim 1, wherein the machine learning module is a neural network.
9. The system of claim 8, wherein the neural network is a recurrent neural network.
10. The system of claim 8, wherein the neural network is a feedforward neural network.
11. The system of claim 8, wherein the neural network is an ensemble of neural networks.
12. The system of claim 1, wherein the vibro-acoustic sensor and the bio-electric sensor each produce time-varying signals, the signals received by the machine learning module from the vibro-acoustic sensor and the bio-electric sensor being time-synchronized.
13. The system of claim 12, wherein the signals are received by the machine learning module as catenated raw amplitude sequences.
14. The system of claim 12, wherein the signals are received by the machine learning module as combined short-time Fourier transform spectra.
15. The system of claim 1, wherein the sensor array is connected by wires.
16. The system of claim 1, wherein the sensor array communicates wirelessly.
17. The system of claim 1, wherein the machine learning module is remote from the sensors and in communication therewith via a network.
18. The system of claim 1, further comprising at least one acoustic stimulus generators.
Ref WO2019133926: Claims:
Claims We claim: 1. A method comprising: receiving, by a processor, a plurality of detected electronic signals, each of the plurality of detected electronic signals being received from a separate detector communicatively coupled to the processor and corresponding to a detected optical signal emanating from a pregnant mammal’s abdomen and a fetus contained therein, wherein each detected optical signal has been converted, by the respective detector, into one of the plurality of the detected electronic signals; performing, by the processor, independent component analysis on the plurality of detected electronic signals to separate signals within the detected electronic signals that are contributed by different sources, each of the separated signals corresponding to a different source; determining, by the processor, a separated signal that corresponds to light incident upon the fetus; analyzing, by the processor, a separated signal that corresponds to light incident upon the fetus to determine a fetal hemoglobin oxygen saturation level of the fetus; and facilitating, by the processor, provision of an indication of the fetal hemoglobin oxygen saturation level to a user. 2. The method of claim 1 , wherein the separated signal that corresponds to light incident upon the fetus is a fetal photoplethysmogram signal. 3. The method of claim 1 or 2, wherein the source of a separated signal is at least one of a maternal photoplethysmogram, a fetal photoplethysmogram, a maternal respiratory signal, a uterine tone signal, and a noise signal. 4. The method of any of claims 1-3, further comprising: analyzing, by the processor, a separated signal that corresponds to light incident upon the pregnant mammal; and facilitating, by the processor, provision of an indication of the analysis results to the user. 5. The method of claim 4, wherein the separated signal that corresponds to light incident upon the pregnant mammal is at least one of a maternal photoplethysmogram signal, a maternal respiratory signal, and a uterine tone signal. 6. The method of any of claims 1-5, further comprising: filtering, by the processor, the received plurality of detected electronic signals prior to performance of the independent component analysis. 7. The method of any of claims 1-5, further comprising: receiving, by the processor, a secondary signal; and filtering, by the processor, the received plurality of detected electronic signals using the received secondary signal prior to performance of the independent component analysis. 8. The method of claim 7, further comprising: synchronizing, by the processor, the secondary signal and the received plurality of detected electronic signals prior to filtering the received plurality of detected electronic signals. 9. The method of any of claims 1-8, wherein the optical signal includes at least two different wavelengths of light. 10. A method comprising: receiving, by a processor, a plurality of detected electronic signals, each of the plurality of detected electronic signals being received from a separate detector communicatively coupled to the processor and corresponding to a detected optical signal emanating from a pregnant mammal’s abdomen and a fetus contained therein, wherein each detected optical signal has been converted, by the respective detector, into one of the plurality of the detected electronic signals; receiving, by the processor, a secondary signal; filtering, by the processor, the received plurality of detected electronic signals using the received secondary signal; performing, by the processor, independent component analysis on the plurality of filtered detected electronic signals to separate signals within the detected electronic signals that are contributed by different sources, each of the separated signals corresponding to a different source; determining, by the processor, a separated signal that corresponds to light incident upon the fetus; analyzing, by the processor, a separated signal that corresponds to light incident upon the fetus to determine a fetal hemoglobin oxygen saturation level of the fetus; and facilitating, by the processor, provision of an indication of the fetal hemoglobin oxygen saturation level to a user. 1 1. The method of claim 10, wherein the separated signal that corresponds to light incident upon the fetus is a fetal photoplethysmogram signal. 12. The method of any of claims 10 or 1 1 , wherein the source of a separated signal is at least one of a maternal photoplethysmogram, a fetal photoplethysmogram, a maternal respiratory signal, a uterine tone signal, and a noise signal. 13. The method of any of claims 10-12, further comprising: analyzing, by the processor, a separated signal that corresponds to light incident upon the pregnant mammal; and facilitating, by the processor, provision of an indication of the analysis results to the user. 14. The method of claim 13, wherein the separated signal that corresponds to light incident upon the pregnant mammal is at least one of a maternal photoplethysmogram signal, a maternal respiratory signal, and a uterine tone signal. 15. The method of any of claims 10-14, further comprising: amplifying, by the processor, the received plurality of detected electronic signals prior to performance of the independent component analysis. 16. The method of claim 15, further comprising: synchronizing, by the processor, the secondary signal and the received plurality of detected electronic signals prior to filtering the received plurality of detected electronic signals. 17. A method comprising: receiving, by a processor, a first detected electronic signal from a first detector, a second detected electronic signal from a second detector, and a third detected electronic signal from a third detector, each of the first, second, and third detectors being communicatively coupled to the processor and each of the first, second, and third detected electronic signals corresponding to a detected optical signal emanating from a pregnant mammal’s abdomen and a fetus contained that is detected by the respective first, second, and third detectors and converted into the respective first, second, and third detected electronic signals; performing, by the processor, independent component analysis on the first, second, and third detected electronic signals to generate a first separated signal, a second separated signal, and a third separated signal, the first separated signal, second separated signal, and third separated signal being contributed to the first, second, and third detected electronic signals by a first source, a second source, and a third source, respectively, wherein the third separated signal corresponds to a fetal photoplethysmogram signal; analyzing, by the processor, the third separated signal to determine a hemoglobin oxygen saturation level of the fetus; and facilitating, by the processor, provision of an indication of the hemoglobin oxygen saturation level of the fetus to a user. 18. The method of claim 17, wherein the first source of the first separated signal is at least one of motion artifacts of the pregnant mammal, respiration of the pregnant mammal, photoplethysmogram variations of the pregnant mammal, uterine tone of the pregnant mammal, and noise. 19. The method of claim 17, wherein the second source of the second separated signal is at least one of motion artifacts of the pregnant mammal, respiration of the pregnant mammal, photoplethysmogram variations of the pregnant mammal, uterine tone of the pregnant mammal, and noise. 20. The method of claim 17, further comprising: receiving, by the processor, a fourth detected electronic signal from a fourth detector communicatively coupled to the processor prior to performance of the independent component analysis, the fourth detected electronic signal corresponding to a detected optical signal emanating from the pregnant mammal’s abdomen and fetus contained that is detected by the fourth detector and converted into the fourth detected electronic signal, wherein the independent component analysis is performed on the first, second, third, and fourth detected electronic signals to generate the first separated signal, the second separated signal, the third separated signal, and a fourth separated signal, the fourth separated signal being contributed by a fourth source. 21. The method of claim 20, wherein the fourth source of the fourth separated signal is at least one of motion artifacts of the pregnant mammal, respiration of the pregnant mammal, photoplethysmogram variations of the pregnant mammal, uterine tone of the pregnant mammal, and noise.
A method comprising: receiving, by a processor, a plurality of detected electronic signals, each of the plurality of detected electronic signals being received from a separate detector communicatively coupled to the processor and corresponding to a detected optical signal emanating from a pregnant mammal’s abdomen and a fetus contained therein, wherein each detected optical signal has been converted, by the respective detector, into one of the plurality of the detected electronic signal
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