Patent Abstract:
In a multi-tier patient monitoring data analysis system, an algorithm server is positioned as a middle tier between an acquisition device, such as a cardiograph or patient monitor that can be seen as a lower tier, and a storage device for a database, such as that of a central computer for a hospital or clinic that can be seen as an upper tier. The algorithm server gathers current data from the real time acquisition device and obtains previously stored ECG signal data from the database. The algorithm server contains ECG analysis algorithm(s) and runs one or more algorithms using the current and previously acquired ECG signal data. Analysis algorithms may also be run on the acquisition device. The system provides the rapid, extensive, and thorough ECG analysis that is critical to patient welfare.

Full Description:
CROSS REFERENCE TO RELATED APPLICATIONS 
     This application is a continuation of U.S. patent application Ser. No. 11/405,151, now U.S. Pat. No. 7,702,382, filed Apr. 17, 2006, entitled: Multi-Tier System for Cardiology and Patient Monitoring Data Analysis. 
    
    
     FIELD OF THE INVENTION 
     The present invention relates to a multi-tier system for cardiology and patient data analysis in which an algorithm server is interposed between a real time ECG signal data acquisition device, such as a cardiograph, and a database of stored cardiology information. 
     BACKGROUND OF THE INVENTION 
     Electrocardiography employs the electrical phenomena accompanying the physiological functioning of the heart for diagnostic and other purposes. Electrodes are applied to the chest and extremities of a patient to collect electrocardiographic (ECG) signal data and provide same to an acquisition unit, typically an electrocardiograph or patient monitor. The signals in the electrodes are amplified in a pre-amplifier and are typically displayed on a screen and/or moving paper strip for review and analysis by an attending cardiologist or other clinician. The ECG signal data is also digitized for storage in a memory and for use with computer ECG analysis algorithms. 
     However, only a limited amount of ECG signal data is often available for use with such acquisition apparatus, such as the data obtained during a single session with the patient. Acquisition apparatus such as a patient monitor, may carry out other tasks or functions besides ECG monitoring. This may limit the computing power available for ECG analysis, necessitating a reduction in a sophistication of an analysis algorithm in the monitor or slowing the analysis process. This limits the type of analysis that can be performed and the thoroughness with which it can be carried out. For example, if real time shape analysis of the heart beat waveforms found in the ECG signal data is desired, this may require transfer of the signal data from the acquisition unit to separate analysis apparatus containing a more sophisticated algorithm. Given the often critical nature of electrocardiological conditions, the limitations and delays attendant the foregoing give rise to the potential for adverse consequences to the patient. 
     In another example, in a chest pain clinic, a convenient, rapid serial comparison of currently obtained ECG signal data with previously acquired ECG signal data is essential to determine if there has been a change in the cardiac condition of the patient. However, in most cases, the previously acquired ECG signal data is stored in a remote database, such as the central computer for the clinic or hospital. Currently, it is thus often necessary to load the ECG signal data from the cardiograph or patient monitor into different apparatus, such as central clinic or hospital computer, having the database in which the previously acquired ECG signal data is stored. Thereafter, the serial comparison may be run. It will be appreciated that this can be an inconvenient and/or time consuming process, to the detriment to the patient. 
     To avoid or limit such consequences, rapid, extensive, and thorough ECG analysis is critical to patient welfare. Inconveniences associated with such analyses should be minimized to encourage the use of pertinent algorithms and/or to avoid affecting the accuracy of the ECG data analysis and interpretation, also to prevent detriment to the patient. 
     SUMMARY OF THE INVENTION 
     An embodiment of the present invention overcomes the foregoing, and other, shortcomings by providing a multi-tier system in which an algorithm server is positioned as a middle tier between an acquisition device, such as a cardiograph, patient monitor, or patient-side terminal linked to the current ECG signal data that can be seen as a lower tier, and a storage device for a database, such as that of a central computer server for a hospital or clinic, that can be seen as an upper tier. The algorithm server gathers current data from the real time acquisition device and obtains previously stored ECG signal data from the database thus providing a link between the real time ECG signal data and the stored ECG signal data. The algorithm server can also obtain other related medical information from different databases, such as a hospital information system (HIS). The algorithm server may contain a plurality of ECG algorithms and runs one or more of the algorithms using the current and previously acquired ECG signal data and clinical information such as patient medical history. 
     The multi-tier system of the present invention provides rapid, thorough analysis and interpretation of ECG signal data and can provide a plurality of different analyses. The multi-tier structure enables the system to have a much better scalability, i.e. the ability to handle a wide range of requirements demanded by differing users. Another advantage is that because the algorithms are stored and run in the middle tier algorithm server, there will minimum disruption to the operation of the database that, as noted above, often comprises the central computer for a hospital or clinic that serves numerous other functions. Still another advantage is that consistent versions of the algorithms will be running on the algorithm server, whereas with separate acquisition or other devices, different versions of software may be running on different devices. 
     The invention will be further understood by reference to the following detailed description taken in conjunction with the drawing. 
    
    
     
       BRIEF DESCRIPTION OF THE DRAWINGS 
       In the drawings: 
         FIG. 1  is a generalized schematic diagram of a multi-tier system of the present invention for cardiology and patient monitoring data analysis. 
         FIG. 2  is a detailed schematic diagram of an acquisition unit for use in the system of the present invention. 
         FIGS. 3A-3E  shows the operation of the system of the present invention in carrying out real-time patient monitoring data analysis. 
         FIG. 4  is a display of monitoring data produced by the operation of the system illustrated in  FIGS. 1 through 3 . 
         FIGS. 5A-5G  show a use of the multi-tier patient monitoring data analysis system of the present invention employing two-way data flows between the algorithm server and an acquisition unit and a database. 
         FIG. 6  shows a display generated by the apparatus, as used in the manner shown in  FIG. 5 . 
         FIGS. 7A-7E  show operation of the system of the present invention in which algorithms are run in both the acquisition unit and algorithm server and in which ECG data can be over-read and/or edited. 
     
    
    
     DETAILED DESCRIPTION 
     An embodiment of system  10  of the present invention for the analysis and interpretation of ECG signal data obtained from patient  12  comprises of a multi-tier arrangement of an acquisition unit  14 , algorithm server  16 , and database  18 , as shown diagrammatically in  FIG. 1 . 
     As shown in  FIG. 2 , acquisition unit  14  is coupled to electrodes  20  applied to the chest and extremities of patient  12 . Acquisition unit  14  acquires real time ECG signal data via patient connection cable  22 . Selected pairs of electrodes, or leads, are used to acquire standard, multiple lead electrocardiographic signal data. Acquisition unit  14  may be a device such as a cardiograph, a bedside patient monitor, a Holter patient monitor, or other suitable monitor. Acquisition unit  14  can also be a portable/handheld device embedded into a cellular phone, electronic messaging unit, personal data organizer, pager, and the like. 
     Acquisition unit  14  includes acquisition circuitry  24  for carrying out initial processing of the ECG signal data, such as lead connection quality determination, filtering, pre-amplification, and the like. Acquisition circuitry  24  also includes analog-digital conversion circuitry  26  for converting the analog ECG data signals in cable  22  to digitized signals. 
     Acquisition circuitry  24  is connected to signal processor  28  having a central processing unit for controlling the operation of acquisition unit  14  and performing the processing or other use of the signal data carried out in acquisition unit  14 . Memory  30  for storing ECG signal data is coupled to signal processor  28 . Acquisition unit  14  may also include display  32  for providing a graphic and/or textual showing of the electrocardiographic signal data. Display  32  typically comprises a cathode ray tube, liquid crystal display, or other suitable apparatus for providing a visually perceptible indication of the data. Alternatively, or additionally, a printer provides a paper copy  34  of the ECG data in strip or sheet form. Acquisition unit  14  also includes transmitter/receiver  36  that transmits information from, and receives information for, acquisition unit  14 . 
     Acquisition unit  14  is connected to algorithm server  16 . Algorithm server  16  may comprise a computer server, for example, that manufactured sold by the General Electric Healthcare unit of the General Electric Co. under the designation “Muse.” Server  16  contains computer algorithms, programs, or other instructions for carrying out desired analyses and interpretation of ECG signal data. Algorithm server  16  preferably contains a plurality of ECG algorithms so as to allow use of different algorithms to obtain different results or to combine results, thereby to obtain a more robust cardiac analysis of the patient. 
     Algorithm server  16  is connected to the storage device for database  18 . Database  18  may be contained in a central, or mainframe, computer for a health services provider, such as a hospital or clinic. Database  18  may comprise a component of a hospital information system (HIS). Or, database  18  may comprise a dedicated database for system  10 . Previously obtained ECG signal data, as well as other patient information, is stored in database  18 . 
     The connections between the components of system  10  may be wired or wireless. Or the connection may be effected through a computer network, such as a secure local area network (LAN) or wireless LAN, a secure wide area network (WAN) or wireless WAN or a secure internet connection. It is also possible for algorithm server  16  and the storage device for database  18  to form components of the same computer server unit. 
       FIGS. 3A-3E  diagrammatically show one manner of operation of system  10 . The operation is shown as a real-time ischemic monitoring of multi-lead ECG signal data. Such an operation may typically be carried out in a chest pain clinic to assist in determining the presence of a condition, such as acute myocardial infarction or acute cardiac ischemia, in patients suffering severe chest pain. The operation is initiated by a request to the system, either at one of the components or through a link to/from a remote location such as a cardiology laboratory. 
     As shown in  FIG. 3A , in carrying out such an analysis and determination with system  10  of the present invention, acquisition unit  14  acquires ECG signal data from patient  12  via cable  22 . The signal data will typically be 12/15 lead ECG signal data. After the initial processing of the acquired real time data in acquisition circuitry  24  and/or signal processor  28  of acquisition unit  14 , the ECG signal data is uploaded to algorithm server  16 , as shown in  FIG. 3B . As shown in  FIG. 3B , it will be appreciated that in a facility such as a chest pain clinic, or hospital unit in which cardiac monitoring is carried out for numerous patients, a plurality of acquisition units  14   a ,  14   b ,  14   c  may be in communication with algorithm server  16 . 
     Algorithm server  16  then runs the appropriate computer algorithm to process the ECG signal data received from data acquisition unit(s)  14 . See  FIG. 3C . In an example, the algorithm may be a tracing algorithm that continuously traces the morphology of the acquired ECG signal data. Following completion of the running of the algorithm, the results may be sent back to acquisition unit(s)  14 , as shown in  FIG. 3D , and displayed in display  32  or  34  of the acquisition unit(s) or at some other appropriate location in the clinic or hospital. See  FIG. 3E . A typical example of a display produced by an ECG morphology tracing algorithm in algorithm server  16  is shown in  FIG. 4  that shows a display of continuous ST-T wave monitoring. 
       FIGS. 5A-G  show a further use for multi-tier system  10 . Specifically,  FIG. 5  shows a use of system  10  in carrying out real-time serial comparison of electrocardiographic data. Such a comparison is also often employed in a chest pain clinic for monitoring patients for a condition such as acute myocardial infarction or acute cardiac ischemia.  FIGS. 5A-5G  show use of multi-tier system  10  in which two-way data flows occur between algorithm server  16  and an acquisition unit or units  14  and data flow also occurs between algorithm server  16  and one or more databases  18 . After algorithm server  16  obtains real-time data from acquisition unit(s)  14  and previously stored data from database  18 , algorithm server  16  can run different types of algorithms for providing a desired analysis of electrocardiographic data, and either send the results back to acquisition unit(s)  14  or/and to database  18 . The analysis results and original data from acquisition unit(s)  14  can also be sent to attending clinicians if immediate care is needed. 
     As shown in  FIG. 5A , in such an application, data acquisition unit  14  acquires real time ECG signal data from patient  12  via ECG cable  22 . In  FIG. 5B , the ECG signal data from acquisition unit or units  14  is uploaded to algorithm server  16 . For purposes of carrying out the comparison of ECG data, algorithm server  16  requests electrocardiographic data previously obtained from patient  12  from the storage device for database  18 . The requested ECG data will typically be that taken from an immediately previous electrocardiographic examination of patient  12  but any stored ECG signal data desired by a clinician may be obtained from database  18 . The request of data from database  18  by algorithm server  16  is shown in  FIG. 5C  and the sending of the previously obtained ECG signal data by database  18  to algorithm server  16  is shown in  FIG. 5D .  FIG. 5C  notes that the previously obtained signal data may be found in, and obtained from, a number of database locations  18 ,  18   a ,  18   b , etc. 
     Thereafter, algorithm server  16  runs a serial comparison algorithm, as shown in  FIG. 5E  to compare the morphology and other aspects of the most recent ECG signal data obtained from the patient with the previous ECG signal data obtained from the patient. The comparison results may then sent to a suitable device for review by a cardiologist or other clinician.  FIG. 5G  shows the use of acquisition unit  14  to display and/or print out the results for this purpose but any suitable display, such as a cardiac laboratory workstation may be used to review the results. 
     The processes shown in  FIGS. 5A-5G  proceed in real-time, i.e. as the ECG signal data from patient  12  is received, thus resulting in an acceleration of the process of analyzing and interpreting the ECG signal data and diagnosing the cardiac condition of patient  12 . The process may be repeated as needed or at fixed intervals so that any changes in the cardiac condition of the patient with time will become apparent. 
       FIG. 6  shows a typical serial ECG comparison report generated by algorithm server  16  operating in the manner of  FIG. 5E  and that can be displayed on acquisition unit  14 . 
     The algorithm or program contained in algorithm server  16  may be one that allows a clinician, following review of the results produced by ECG algorithm, to provide data or edited interpretations to one or both of acquisition unit  14  or server  16 . See  FIG. 5G  at  90 . For example, this allows the operation of apparatus  10  to pull forward a previous diagnosis made by the algorithm in server  16 , or portions of previous diagnosis, if there has been no significant change in the electrocardiographic data from patient  10 , as determined by the data comparison. Such a program also permits use of a previous detection of the P-wave portion of the electrocardiographic data in order to improve current rhythm detection. The provision of data or edited interpretations may be provided by an appropriate data entry device, such as keyboard  92  shown in  FIG. 5G . 
       FIG. 7A-7E  shows an operation of system  10  in a manner in which acquisition unit  14  runs one ECG algorithm and algorithm server  16  runs a different ECG analysis or interpretation algorithm. As shown in  FIG. 7A , acquisition unit  14  acquires an electrocardiographic data from patient  12  via an ECG cable  22 . In  FIG. 7B , acquisition unit  14  employs signal processor  28  to run an algorithm, such as real-time heart beat or arrhythmia detection algorithm stored in the signal processor. 
     Also as shown in  FIG. 7B , acquisition unit  14  uploads ECG signal data to algorithm server  16 . As shown in  FIG. 7C , algorithm server  16  runs a different ECG analysis algorithm than that being run in acquisition unit  14 . For example, algorithm server  16  may run a real-time shape analysis algorithm. The data analysis results obtained from the running of the two computer programs can be provided to the clinician for a more accurate diagnosis of the cardiac condition of patient  12  as shown in  FIG. 7D . The shape analysis information obtained from the analysis carried out by the algorithm in server  16  can improve the real-time beat arrhythmia analysis performed by the algorithm running in acquisition unit  14 . 
     In addition to embodiments of system  10  in which algorithms are run in algorithm server  18  and additionally in acquisition/monitor unit  14 , system  10  of the present invention may use other data than the real-time signal data obtained from acquisition unit  14 . For example, additional data may be obtained from database  18  in the manner shown in  FIGS. 5C and 5D . Such additional data may, for example, comprise that derived from a population of patients. 
     In addition to utilizing data stored in database  18 , apparatus  10  may also use information entered by a clinician utilizing apparatus  10 . As shown by block  100  of  FIG. 7E , the clinician reads the displayed graphic or text ECG results relating to the rhythm and shape of the electrocardiographic data. The clinician then inputs interpreted data into acquisition unit  14  by device  102  for use in the algorithm running in acquisition unit  14  and/or the algorithm running an algorithm server  16 . Such an over-reading improves the overall accuracy of the determinations made by apparatus  10 , as well as confirming the accuracy of computerized ECG interpretations made by the algorithms in algorithm server  16  and acquisition unit  14 . 
     Other examples of the use of edited interpretation for patient monitoring include real-time arrhythmia analysis based on edited interpretation. In this application, an overall edited arrhythmia is cataloged for improving arrhythmia recognition carried out in acquisition unit  14 . Examples of edited arrhythmias that could improve computerized recognition of arrhythmia conditions include learning the R-R interval patterns from a segment of historical ECG signal data and real-time sampled ECG signal data so that atrial fibrillation can be properly identified. The R-R interval is the time interval occurring between the prominent R peaks of the QRS portion of successive heart beat waveforms in the ECG data. Another example of edited arrhythmias include verification of pace rhythms and the corresponding rate so that they are properly identified during future episodes of pacing. Still further, editing may be used for verification of rate dependent conduction abnormalities so that this arrhythmia may be properly labeled by acquisition unit  14 . 
     Another example is a real time contour analysis based on edited interpretation. In this application, the overall edited contour of the waveforms in the ECG signal data is cataloged for improving the contour recognition carried out in data acquisition unit  14 . For example, various intervals occurring in the ECG waveforms, such as the Q-T interval, the P -R interval, and the duration of the QRS complex may be measured and confirmed so that future beats are properly recognized and measured. Similarly, the identification of repolarization abnormalities that are not the result of an acute process such as those typical of left ventricular hypertrophy with strain can be used, particularly as reference measurements for improving contour recognition. Or, identification of significant S-T interval deviation including the point of measure, such as J+60, J+80, etc. may be edited so that it can be recognized in future episodes. Contour recognition may also be employed to determine the effect of certain drugs on the Q-T interval of the waveforms of the ECG signal data. 
     A further non-limiting list of examples of edited information that could be entered in system  10  to improve the computerized analysis performed by the algorithms in data acquisition unit  14  and/or algorithm server  16  includes the following related to ECG morphology: double detection of the QRS feature of the electrocardiographic data fixed by correct labeling of the T-wave portion of the electrocardiographic data; verification of coupling intervals for premature ventricular contractions (PVCs) so that artifacts that occur with different coupling intervals are more likely to be recognized as artifacts; correct identification of P-wave morphology, or template, for subsequent atrial detections; correct identification of artificially paced beats so that the algorithms of algorithm server  16  or acquisition unit  14  do not indicate idioventricular rhythms; correct identification of right bundlebranch block (RBBB) or left bundlebranch block (LBBB), so that beats can be called aberrantly conducted versus ectopic; proper identification of Q-T interval so that trending can be based on edited measurements; and proper identification of the P-R interval so that trending of first degree atrioventricular (AV) block can be done based on an edited measurement. 
     While system  10  of the present invention has been described in connection with  FIG. 7  with a single ECG analysis algorithm running in algorithm server  16 , it will be appreciated that, as noted above, multiple algorithms may be used and the results and features combined together to improve the accuracy of the single detection and interpretation. For example, for continuous  12  lead ECG data, it is possible to run  12  lead ECG interpretation, heart-rate-variability, and T-wave-alternans algorithms at the same time on algorithm server  16 . 
     Various alternatives and embodiments are contemplated as being within the scope of the following claims particularly pointing out and distinctly claiming the subject matter regarded as the invention.

Technology Classification (CPC): 0