Altering Physiological Signals Based On Patient Movement

• US 20180296163A1
• Filed: 07/27/2015
• Published: 10/18/2018
• Est. Priority Date: 07/27/2015
• Status: Active Application

• Current Assignee: Google LLC (Alphabet Inc.)
• Original Assignee: Google Inc. (Alphabet Inc.)
• Inventors: DeBusschere, Brian Derek, Rogers, Jeffrey L.
• Application Number:
  US14/809,901
• Publication Number:
  US 20180296163A1
• Time in Patent Office: Days
• 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 5/02108 from analysis of pulse wave characteristics
• CPC Class Codes: A61B 5/02141 Details of apparatus construction, e.g. pump units or housings therefor, cuff pressurising systems, arrangements of fluid conduits or circuits A61B5/02233, A61B5/0235 take precedence
• CPC Class Codes: A61B 5/024 Detecting, measuring or recording pulse rate or heart rate A61B5/0205, A61B5/021 take precedence
• CPC Class Codes: A61B 5/02405 Determining heart rate variability
• CPC Class Codes: A61B 5/026 Measuring blood flow A61B3/1233, A61B3/1241 take precedence
• CPC Class Codes: A61B 5/0295 using plethysmography, i.e. measuring the variations in the volume of a body part as modified by the circulation of blood therethrough, e.g. impedance plethysmography
• CPC Class Codes: A61B 5/08 Detecting, measuring or recording devices for evaluating the respiratory organs A61B5/0205 takes precedence
• CPC Class Codes: A61B 5/1102 Ballistocardiography
• CPC Class Codes: A61B 5/1123 Discriminating type of movement, e.g. walking or running A61B5/1116, A61B5/112 take precedence
• CPC Class Codes: A61B 5/113 occurring during breathing
• CPC Class Codes: A61B 5/721 using a separate sensor to detect motion or using motion information derived from signals other than the physiological signal to be measured

Abstract

This document describes ways in which to alter physiological signals to address corrupt, noisy, or otherwise faulty data. By so doing, accuracy and robustness in sensing and assessing a patient'"'"'s cardiovascular health can be improved. These improved assessments permit better measures of health, such as relevant hemodynamics understood by heart rates, heart rate variability, cardiac arrhythmias, blood pressures, pulse-wave velocities, arterial stiffness, cardiac valve timing, thoracic fluids, ballistocardiogram force, photo-plethysmograms, blood oxygenation, and pressure-volume loops.

Claims

1. A system comprising:

one or more computer processors;

a physiological sensor configured to measure a physiological characteristic of a patient;

a motion sensor configured to capture motion data for the patient, the motion data comprising physical movement of the patient separate from the physiological characteristic of the patient;

one or more computer-readable media having instructions stored thereon that, responsive to execution by the one or more computer processors, perform operations comprising;

determining, based on the captured motion data, the physical movement of the patient;

receiving a physiological signal from the physiological sensor;

synchronizing chronologically the determined physical movement of the patient with the received physiological signal; and

altering the received physiological signal based on the determined physical movement.

2. The system of claim 1, wherein the altering the received physiological signal down-weights the received physiological signal based on determining the physical movement comprises a physical movement indicative of a non-steady state or a non-resting state of the patient.

3. The system of claim 1, wherein the altering the received physiological signal removes the received physiological signal or a portion thereof based on determining the physical movement comprises a disruptive physical movement of the patient.

4. The system of claim 1, wherein the altering the received physiological signal alters the received physiological signal for a particular cardiovascular event based on determining the physical movement comprises a respiration of the patient, the respiration having a known effect on cardiovascular events.

5. The system of claim 1, wherein the altered received physiological signal is effective to measure a hemodynamic characteristic of the patient.

6. The system of claim 5, wherein the hemodynamic characteristic includes a pulse-wave velocity or pressure waves representing blood flow through an artery or vein of the patient.

7. The system of claim 1, the operations further comprising determining, prior to the altering, a portion of the received physiological signal that is likely to include noise or signal error, and wherein the altering of the received physiological signal is based on the chronological synchronization matching a portion of the physical movement for the patient determined to cause noise or signal error with the determined portion of the received physiological signal that is likely include noise or signal error.

8. The system of claim 1, the operations further comprising annotating the received physiological signal based on determining the physical movement comprises one of a set of previously determined physical movements useful in assessing cardiovascular health.

9. The system of claim 1, wherein the motion sensor is an electromagnetic sensor and the captured motion data is captured as a signal in an optical, radio-frequency, or infrared bandwidth.

10. The system of claim 1, wherein the motion sensor is camera configured to capture multiple images over a single time period smaller than a time period of a cardiovascular event.

11. The system of claim 1, wherein the received physiological signal includes an electrocardiograph (ECG), a ballistocardiogram (BCG), a blood pressure, or a photo-plethysmogram (PPG).

12. The system of claim 1, wherein the physiological sensor comprises a pressure sensor and the physiological characteristic comprises pressure and wherein the pressure sensor senses the patient during a cardiovascular event, the motion sensor comprises a camera, the captured motion data comprises a video captured during the cardiovascular event, and the altering the received physiological signal is effective to down-weight noise in the received physiological signal.

13. A computer-implemented method comprising:

receiving, from a physiological sensor configured to measure a physiological characteristic of a patient, a physiological signal;

receiving, from a motion sensor configured to capture motion data for the patient, captured motion data comprising physical movement of the patient separate from the physiological characteristic of the patient;

chronologically synchronizing the physical movement for the patient with the received physiological signal for the patient; and

altering the received physiological signal based on the physical movement.

14. The computer-implemented method as described in claim 13, further comprising determining, based on the altered received physiological signal, a hemodynamic characteristic of the patient.

15. The computer-implemented method as described in claim 13, wherein the captured motion data and the received physiological signal is for a first cardiovascular event and further comprising repeating the method for a second cardiovascular event to provide a second altered received physiological signal and correlating the first and second altered received physiological signals for the first and second cardiovascular events, respectively, effective to determine a health trend for the patient.

16. The computer-implemented method as described in claim 13, wherein the physical movement is a respiration of the patient and altering the received physiological signal based on the physical movement alters the received physiological signal to improve a blood pressure measurement.

17. The computer-implemented method as described in claim 13, wherein altering the received physiological signals annotates the received physiological signals, the annotation indicating a particular physical movement, and further comprising correlating the altered received physiological signal with a second altered received physiological signal having a same particular physical movement effective to provide a hemodynamic measurement of the patient for the particular physical movement.

18. A computer-implemented method comprising:

segmenting a physiological signal for a patient at a time window, the time window matching a physical movement of the patient, the physiological signal sensed by a physiological sensor and the physical movement sensed by a motion sensor, the physical movement separate from a physiological characteristic sensed by the physiological sensor;

determining, based on the physical movement of the patient, a quality of the physiological signal in the segment; and

responsive to the quality being determined to be a quality indicative of signal corruption, altering, down-weighting, removing, or replacing the segment of the physiological signal.

19. The computer-implemented method as described in claim 18, wherein altering, down-weighting, removing, or replacing the segment replaces the segment with a previously calculated template.

20. The computer-implemented method as described in claim 18, wherein altering, down-weighting, removing, or replacing the segment down-weights the segment effective to reduce, in a combination of physiological signals of multiple similar cardiovascular events, a weight of the segment in determining a hemodynamic characteristic or a trend in the hemodynamic characteristic.