Remote health monitoring system

• US 10,332,379 B2
• Filed: 07/08/2014
• Issued: 06/25/2019
• Est. Priority Date: 04/15/2011
• Status: Active Grant

• Current Assignee: Infobionic, Inc.
• Original Assignee: Infobionic, Inc.
• Inventors: Fahey, Michael
• Primary Examiner(s): Marlen, Tammie K
• Application Number:
  US14/326,178
• Publication Number:
  US 20140323883A1
• Time in Patent Office: 1,813 Days
• Field of Search: 600509, 600523, 607 32, 607 60
• CPC Class Codes: A61B 5/0002 Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network A61B5/07 takes precedence; transmission systems for measured values G08C; transmission H04B; transmission of digital information H04L; wireless communication networks H04W
• CPC Class Codes: A61B 5/0006 ECG or EEG signals
• CPC Class Codes: A61B 5/0022 Monitoring a patient using a global network, e.g. telephone networks, internet
• CPC Class Codes: A61B 5/0205 Simultaneously evaluating both cardiovascular conditions and different types of body conditions, e.g. heart and respiratory condition
• CPC Class Codes: A61B 5/08 Detecting, measuring or recording devices for evaluating the respiratory organs A61B5/0205 takes precedence
• CPC Class Codes: A61B 5/14552 Details of sensors specially adapted therefor
• CPC Class Codes: G08B 21/10 responsive to calamitous events, e.g. tornados or earthquakes
• CPC Class Codes: G16H 40/67 for remote operation
• CPC Class Codes: Y02A 90/10 Information and communication technologies [ICT] supporting adaptation to climate change, e.g. for weather forecasting or climate simulation

Abstract

A data collection system collects and stores physiological data from an ambulatory patient at a high resolution and/or a high data rate (“more detailed data”) and sends a low-resolution and/or downsampled version of the data (“less detailed data”) to a remote server via a wireless network. The server automatically analyzes the less detailed data to detect an anomaly, such as an arrhythmia. A two-tiered analysis scheme is used, where the first tier is more sensitive and less specific than the second tier. If the more sensitive analysis detects or suspects the anomaly, the server signals the data collector to send more detailed data that corresponds to a time period associated with the anomaly. The more specific second tier analyzes the more detailed data to verify the anomaly. The server may also store the received data and make it available to a user, such as via a graphical or tabular display.

Claims

1. A method for detecting arrhythmia from collected data including a first set of data and a second set of data, the method comprising:

receiving at a computer-based data analyzer, from a remote device, the first set of data, the first set of data being wirelessly transmitted from the remote device at a preset duty cycle, wherein receiving the first set of data includes receiving the first set of data at a fixed interval of time between data receptions;

automatically analyzing the first set of data with the data analyzer using a first data analysis technique to identify a suspected arrhythmia;

automatically requesting the second set of data from the remote device, wherein the second set of data is requested in response to the identification of the suspected arrhythmia in the analysis of the first set of data;

receiving at the data analyzer, from the remote device, the second set of data; and

automatically analyzing the second set of data with the data analyzer using a second data analysis technique to verify the suspected arrhythmia identified using the first data analysis technique, wherein the first data analysis technique and the second data analysis technique include different computations respectively performed by the data analyzer on the received first set of data and the received second set of data.

2. The method of claim 1, wherein the collected data includes data of a patient sensed by at least one sensor configured to sense at least one of acceleration, pulse oximetry, blood pressure, respiration, movement, and cardiac electrical signals.

3. The method of claim 1, wherein the collected data includes electrocardiograph (ECG) data.

4. The method of claim 1, wherein requesting the second set of data includes requesting data corresponding to a time period that spans the identified suspected arrhythmia.

5. The method of claim 1, wherein the first set of data was collected by a first set of a plurality of sensors, and the second set of data was collected by a second set of the plurality of sensors, and wherein at least one sensor in the second set of the plurality of sensors is different from the sensors in the first set of the plurality of sensors.

6. The method of claim 1, wherein the collected data is collected at a first resolution, and wherein the first set of data includes data of a second resolution, wherein the second resolution is lower than the first resolution.

7. The method of claim 1, wherein (a) the first set of data includes data of a first resolution for a first time period, (b) the second set of data includes data of a second resolution for a second time period, (c) the second resolution is greater than the first resolution, and (d) the second time period is smaller than or equal to the first time period.

8. The method of claim 1, wherein (a) the first set of data includes data of a first sampling rate for a first time period, (b) the second set of data includes data of a second sampling rate for a second time period, (c) the second sampling rate is greater than the first sampling rate, and (d) the second time period is smaller than or equal to the first time period.

9. The method of claim 1, wherein the step of analyzing the first set of data is performed remotely of the patient.

10. The method of claim 1, wherein at least one of the received first and second sets of data is encrypted.

11. The method of claim 1, wherein receiving the first set of data includes receiving data that has not been analyzed by the remote device.

12. The method of claim 1, wherein receiving the first set of data includes receiving the first set of data in real-time from the remote device.

13. The method of claim 1, wherein the fixed interval of time between data receptions varies from tens of seconds to live streaming.

14. The method of claim 1, wherein analyzing the first set of data includes analyzing the first set of data based on morphology and heart beat interval features.

15. The method of claim 1, wherein the preset duty cycle is a user selectable time interval between periodic transmissions of the first set of data from the remote device.

16. The method of claim 1, further including displaying the received first and second sets of data and the identified arrhythmia, and selecting (a) a type of data to display and (b) time periods of data to display.

17. The method of claim 1, further including sending instructions from the data analyzer to the remote device to change data collection parameters of the remote device.

18. The method of claim 17, wherein the sending instructions includes automatically sending instructions based on a comparison of received second set of data with a predetermined threshold.

19. The method of claim 1, wherein the first data analysis technique has a lower probability of generating a false negative result for arrhythmia detection compared to the second data analysis technique, and the second data analysis technique has a lower probability of generating a false positive result for arrhythmia detection compared to the first data analysis technique.

20. The method of claim 1, wherein the remote device includes a phone and the data analyzer is part of a cloud server.

21. An apparatus for identifying arrhythmia from collected data, the collected data including a first set of data and a second set of data, the apparatus comprising:

a data storage device storing instructions for analyzing the collected data;

a computer-based data analyzer configured to execute the instructions to perform a method comprising;

receiving at the data analyzer, from a remote device, the first set of data, the first set of data being wirelessly transmitted from the remote device at a preset duty cycle, wherein receiving the first set of data includes receiving the first set of data at a fixed interval of time between data receptions;

automatically analyzing the first set of data with the data analyzer using a first data analysis technique to identify a suspected arrhythmia;

automatically requesting the second set of data from the remote device, wherein the second set of data is requested in response to the identification of the suspected arrhythmia in the analysis of the first set of data;

receiving at the data analyzer, from the remote device, the second set of data; and

automatically analyzing the second set of data with the data analyzer using a second data analysis technique to verify the suspected arrhythmia identified using the first data analysis technique, wherein the first data analysis technique and the second data analysis technique include different computations respectively performed by the data analyzer on the received first set of data and the received second set of data.

22. The apparatus of claim 21, wherein the collected data includes electrocardiograph (ECG) data of a patient sensed by at least one sensor of a plurality of sensors.

23. The apparatus of claim 21, wherein the collected data is collected at a first resolution, and wherein the first set of data includes data of a second resolution, wherein the second resolution is lower than the first resolution.

24. The apparatus of claim 21, wherein the steps of analyzing the first and second sets of data are performed remotely of the patient.

25. A non-transitory computer readable medium comprising instructions that when executed on a processor cause the processor to perform operations for detecting arrhythmia from collected data, the collected data including a first set of data and a second set of data, the operations including:

receiving at a computer-based data analyzer, from a remote device, the first set of data, the first set of data being wirelessly transmitted from the remote device at a preset duty cycle, wherein receiving the first set of data includes receiving the first set of data at a fixed interval of time between data receptions;

automatically analyzing the first set of data with the data analyzer using a first data analysis technique to identify a suspected arrhythmia;

automatically requesting the second set of data from the remote device, wherein the second set of data is requested in response to the identification of the suspected arrhythmia in the analysis of the first set of data;

receiving at the data analyzer, from the remote device, the second set of data; and

automatically analyzing the second set of data with the data analyzer using a second data analysis technique to verify the suspected arrhythmia identified using the first data analysis technique, wherein the first data analysis technique and the second data analysis technique include different computations respectively performed by the data analyzer on the received first set of data and the received second set of data.

26. The non-transitory computer readable medium of claim 25, wherein the collected data includes electrocardiograph (ECG) data of a patient sensed by at least one sensor of a plurality of sensors.

27. The non-transitory computer readable medium of claim 25, wherein the collected data is collected at a first resolution, and wherein the first set of data includes data of a second resolution, wherein the second resolution is lower than the first resolution.

28. The non-transitory computer readable medium of claim 25, wherein the steps of analyzing the first and second sets of data are performed remotely of the patient.

29. The non-transitory computer readable medium of claim 25, wherein the first set of data is received continuously by the data analyzer from the remote device.