Method and system for removing corruption in photoplethysmogram signals for monitoring cardiac health of patients

Patent metadata

Field	Value
Publication number	US-10548533-B2
Application number	US-201715456112-A
Country	US
Kind code	B2
Filing date	Mar 10, 2017
Priority date	Mar 14, 2016
Publication date	Feb 4, 2020
Grant date	Feb 4, 2020

Abstract

A method and system for removing corruption in photoplethysmogram (PPG) signals for monitoring cardiac health of patients is provided. The method is performed by extracting photoplethysmogram signals from the patient, detecting and eliminating corruption caused by larger and transient disturbances in the extracted photoplethysmogram signals, segmenting photoplethysmogram signals post detection and elimination of corruption caused by larger and transient disturbances, identifying of inconsistent segments from the segmented photoplethysmogram signals, detecting anomalies from the identified inconsistent segments of the photoplethysmogram signals, analysing the detected anomalies of the photoplethysmogram signals and identifying photoplethysmogram signal segments corrupted by smaller and prolonged disturbances.

First claim

What is claimed is:

1. A method for removing corruption in photoplethysmogram (PPG) signals for monitoring cardiac health of patients; said method comprising:
extracting photoplethysmogram (PPG) signals using an image capturing device coupled with a mobile communication device;
detecting and eliminating corruption caused by transient disturbances in the extracted photoplethysmogram (PPG) signals;
segmenting the photoplethysmogram (PPG) signals post detection and elimination of corruption caused by transient disturbances;
identifying inconsistent segments from the segmented photoplethysmogram (PPG) signals;
detecting anomalies from the identified inconsistent segments of the photoplethysmogram (PPG) signals;
analyzing the detected anomalies of the photoplethysmogram (PPG) signals; and
identifying photoplethysmogram (PPG) signal segments corrupted by prolonged disturbances.

2. The method according to claim 1 , wherein the photoplethysmogram signals are extracted from the patients' peripheral body parts.

3. The method according to claim 1 , wherein the patients' peripheral body parts are selected from a group comprising fingertip, ear, toe and forehead.

4. The method according to claim 1 , wherein the photoplethysmogram signals are extracted from the user using a light emitting source attached to the image capturing device coupled with the mobile communication device.

5. The method according to claim 1 , wherein the image capturing device coupled with the mobile communication device extracts photoplethysmogram signals as a video stream.

6. The method according to claim 1 , wherein the detection and elimination of corruption caused by transient disturbances in the extracted photoplethysmogram (PPG) signals is performed by using a Thompson Tau technique.

7. The method according to claim 1 , wherein identification of inconsistent segments from the segmented photoplethysmogram (PPG) signals is performed using normalized dynamic window-adaptive dynamic time warping (NDWADTW) method.

8. The method according to claim 7 , wherein the normalized dynamic window-adaptive dynamic time warping (NDWADTW) method is implemented with respect to a dynamic and patient specific PPG signal template.

9. The method according to claim 8 , wherein the patient specific PPG signal template is a personalized and morphologically valid photoplethysmogram (PPG) template.

10. The method according to claim 1 , wherein detection of anomalies from the identified inconsistent segments of the photoplethysmogram (PPG) signals is performed using a hampel filter.

11. The method according to claim 1 , wherein analysis of the detected anomalies of the photoplethysmogram (PPG) signals is performed using a dynamic multi-level cluster-based anomaly analytics method.

12. The method according to claim 1 , wherein identification of photoplethysmogram (PPG) signal segments corrupted by prolonged disturbances is based on the analysis of the detected anomalies arising out of one or more sources, wherein the anomalies arising out of one or more sources are selected from a group comprising external noise, internal noise, motion artifacts and physiological condition.

13. The method according to claim 12 , wherein identification of photoplethysmogram (PPG) signal segments corrupted by prolonged disturbances is performed to identify anomalies arising out of external noise, internal noise and motion artifacts.

14. The method according to claim 1 , wherein identification of photoplethysmogram (PPG) signal segments corrupted by prolonged disturbances is performed by providing a binary decision with respect to the analyzed photoplethysmogram (PPG) signal segments.

15. A system for removing corruption in photoplethysmogram (PPG) signals for monitoring cardiac health of patients; said system comprising:
an image capturing device coupled with a mobile communication device adapted for extracting photoplethysmogram signals from the user; and
a processor configured for:
detecting and eliminating corruption caused by transient disturbances in the extracted photoplethysmogram (PPG) signals;
segmenting the photoplethysmogram (PPG) signals post detection and elimination of corruption caused by transient disturbances;
identifying inconsistent segments from the segmented photoplethysmogram (PPG) signals;
detecting anomalies from the identified inconsistent segments of the photoplethysmogram (PPG) signals;
analyzing the detected anomalies of the photoplethysmogram (PPG) signals; and
identifying photoplethysmogram (PPG) signal segments corrupted by prolonged disturbances.

16. A non-transitory computer readable medium storing instructions which when executed by a possessor on a system, cause the processor to perform a method for monitoring cardiac health of patients comprising:
detecting and eliminating corruption caused by transient disturbances in the extracted photoplethysmogram (PPG) signals;
segmenting the photoplethysmogram (PPG) signals post detection and elimination of corruption caused by transient disturbances;
identifying inconsistent segments from the segmented photoplethysmogram (PPG) signals;
detecting anomalies from the identified inconsistent segments of the photoplethysmogram (PPG) signals;
analyzing the detected anomalies of the photoplethysmogram (PPG) signals; and
identifying photoplethysmogram (PPG) signal segments corrupted by prolonged disturbances.

Assignees

• Tata Consultancy Services Ltd

Inventors

• Ukil Arijit
• Bandyopadhyay Soma
• Puri Chetanya
• Pal Arpan
• Mandana Kayapanda

Classifications

• A61B5/6829

  Foot or ankle · CPC title

• A61B5/7207 Primary

  of noise induced by motion artifacts · CPC title

• G16H50/30

  for calculating health indices; for individual health risk assessment · CPC title

• A61B5/02416

  using photoplethysmograph signals, e.g. generated by infrared radiation (A61B5/14552 takes precedence) · CPC title

• A61B5/0004

  characterised by the type of physiological signal transmitted · CPC title