Noninvasive systems and methods for monitoring health characteristics

Patent metadata

Field	Value
Publication number	US-10806374-B2
Application number	US-201515506747-A
Country	US
Kind code	B2
Filing date	Aug 25, 2015
Priority date	Aug 25, 2014
Publication date	Oct 20, 2020
Grant date	Oct 20, 2020

Abstract

A wearable system and method for providing BCG data from a user including a wearable sensor configured to receive cardiogenic surface vibration waveforms, a calibrating sensor configured to receive cardiogenic center-of-mass (COM) vibration waveforms, and a processor configured to use the COM vibration waveforms as a template for modifying the surface vibration waveforms to provide health-related outputs. A systematic approach for elucidating the relationship between surface vibrations of the body in the head-to-foot direction from the wearable sensor, and the movements of the whole body as measured by the calibrating sensor is disclosed. Additionally, a methodology for converting the wearable acceleration signals to BCG signals such that the same analysis and interpretation tools can be used for both measurements is presented. High-resolution measurements of the surface accelerations of the body related to the heartbeat with a low weight accelerometer will minimally load the measurement in the transverse direction.

First claim

What is claimed is:

1. A system for providing ballistocardiogram (BCG) data from a user comprising:
a wearable sensor configured to detect, from the user, cardiogenic surface vibration waveforms;
a calibrating sensor configured to detect, from the user, cardiogenic center-of-mass (COM) vibration waveforms; and
a processor configured to:
determine a modification factor for the surface vibration waveforms based on the COM vibration waveforms;
generate calculated fixed BCG data based at least in part on subsequent cardiogenic surface vibration waveforms and the modification factor, the subsequent cardiogenic surface vibration waveforms being received from the wearable sensor while the calibrating sensor is not in contact with the user; and
generate at least one health-related output based on the calculated fixed BCG data.

2. The system of claim 1 , wherein the wearable sensor comprises a wearable wrist sensor.

3. The system of claim 1 , wherein the wearable sensor comprises a wearable chest sensor.

4. The system of claim 1 , wherein the wearable sensor comprises an elastic band fittable for the user's arm.

5. The system of claim 1 , wherein the wearable sensor comprises an elastic band fittable for the user's chest.

6. The system of claim 1 , wherein the wearable sensor comprises an adhesive patch.

7. The system of claim 1 , wherein the wearable sensor comprises an adhesive patch configured for adhesive attachment to the user's skin.

8. The system of claim 1 , wherein the calibrating sensor comprises a weighing scale configured to measure BCG signals.

9. The system of claim 1 , wherein the calibrating sensor comprises a chair sensor for chair configured to measure BCG signals.

10. The system of claim 1 , wherein the calibrating sensor comprises a bed sensor to measure BCG signals.

11. The system of claim 1 , wherein the at least one health-related output comprises a condition of the user's heart.

12. The system of claim 1 , wherein the at least one health-related output comprises systolic time interval measurements.

13. The system of claim 1 , wherein the at least one health-related output comprises cardiac output.

14. The system of claim 1 , wherein the at least one health-related output comprises changes in cardiac output.

15. The system of claim 1 , wherein the processor is configured to run an algorithm for modifying the surface vibration waveforms using a regularized least squares based system identification method using the COM vibration waveforms as calibration waveforms to modify the surface vibration waveforms.

16. The system of claim 1 , wherein the processor is configured to run an algorithm for modifying the surface vibration waveforms using adaptive signal estimation and the calibrating sensor waveform as the desired response.

17. The system of claim 1 further comprising:
an electrocardiogram (ECG) sensor configured to receive, from the user, ECG data;
wherein the processor is configured to estimate a weighing scale ballistocardiogram (WS BCG) from data from the wearable sensor, the calibrating sensor, and the ECG sensor.

18. A system for providing ballistocardiogram (BCG) data from a user comprising:
a wearable sensor configured to detect, from the user, cardiogenic surface vibration waveforms;
a calibrating sensor configured to detect, from the user, cardiogenic center-of-mass (COM) vibration waveforms; and
a processor configured to:
determine a modification factor for the surface vibration waveforms based on the COM vibration waveforms; and
generate calculated fixed BCG data based at least in part on subsequent cardiogenic surface vibration waveforms and the modification factor, the subsequent cardiogenic surface vibration waveforms being received from the wearable sensor while the calibrating sensor is not in contact with the user; and
generate at least one health-related output based on the calculated fixed BCG data;

wherein the wearable sensor is in a form selected from the group consisting of a wearable chest sensor, an adhesive patch, and an adhesive patch configured for adhesive attachment to the user's skin;
wherein the calibrating sensor is in a form of a weighing scale configured to measure BCG signals; and
wherein the health-related output is selected from the group consisting of a condition of the user's heart, systolic time interval measurements, cardiac output, and changes in cardiac output.

19. The system of claim 18 , wherein the processor is configured to run an algorithm for modifying the surface vibration waveforms using a regularized least squares based system identification method using the COM vibration waveforms as calibration waveforms to modify the surface vibration waveforms.

20. The system of claim 18 , wherein the processor is configured to run an algorithm for modifying the surface vibration waveforms using adaptive signal estimation and the calibrating sensor waveform as the desired response.

Assignees

• Georgia Tech Res Inst

Inventors

• Inan Omer T
• Wiens Andrew D

Classifications

• A61B5/7225

  Details of analogue processing, e.g. isolation amplifier, gain or sensitivity adjustment, filtering, baseline or drift compensation (input circuits for detecting, measuring, or recording bioelectric or biomagnetic signals A61B5/30; specific diagnostic methods using bioelectric or biomagnetic signals A61B5/316) · CPC title

• A61B5/681

  Wristwatch-type devices · CPC title

• A61B5/349

  Detecting specific parameters of the electrocardiograph cycle · CPC title

• A61B2562/0219

  Inertial sensors, e.g. accelerometers, gyroscopes, tilt switches · CPC title

• A61B5/721

  using a separate sensor to detect motion or using motion information derived from signals other than the physiological signal to be measured · CPC title