Claims:1. A method for removing corruption in photoplethysmogram (PPG) signals for monitoring cardiac health of patients; said method comprising

a. extracting photoplethysmogram (PPG) signals using an image capturing device (202) coupled with a mobile communication device (204);
b. detection and elimination of corruption caused by larger and transient disturbances in the extracted photoplethysmogram (PPG) signals using an extrema elimination module (206);
c. segmentation of the photoplethysmogram (PPG) signals post detection and elimination of corruption caused by larger and transient disturbances using a segmentation module (208);
d. identification of inconsistent segments from the segmented photoplethysmogram (PPG) signals using an inconsistency identification module (210);
e. detection of anomalies from the identified inconsistent segments of the photoplethysmogram (PPG) signals using an anomaly detection module (212);
f. analysis of the detected anomalies of the photoplethysmogram (PPG) signals using an anomaly analytics module (214); and
g. identification of photoplethysmogram (PPG) signal segments corrupted by smaller and prolonged disturbances using a decision module (216).

2. The method as claimed in claim 1, wherein the photoplethysmogram signals are extracted from the patients’ peripheral body parts.

3. The method as claimed in claim 1, wherein the patients’ peripheral body parts are selected from a group comprising of fingertip, ear, toe; and forehead.

4. The method as claimed in claim 1, wherein the photoplethysmogram signals are extracted from the user using a light emitting source attached to the image capturing device (202) coupled with the mobile communication device (204).

5. The method as claimed in claim 1, wherein the image capturing device (202) coupled with the mobile communication device (204) extracts photoplethysmogram signals as a video stream.

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

7. The method as claimed in 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 as claimed in 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 as claimed in claim 8, wherein the patient specific PPG signal template is a personalized and morphologically valid photoplethysmogram (PPG) template.

10. The method as claimed in 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 as claimed in 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 as claimed in claim 1, wherein identification of photoplethysmogram (PPG) signal segments corrupted by smaller and 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 of external noise, internal noise, motion artifacts and physiological condition.

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

14. The method as claimed in claim 1, wherein identification of photoplethysmogram (PPG) signal segments corrupted by smaller and prolonged disturbances is performed by providing a binary decision with respect to the analysed photoplethysmogram (PPG) signal segments.

15. A system for removing corruption in photoplethysmogram (PPG) signals for monitoring cardiac health of patients; said system comprising:

a. an image capturing device (202) coupled with a mobile communication device (204), adapted for extracting photoplethysmogram signals from the user;
b. an extrema elimination module (206) adapted for detecting and eliminating corruption caused by larger and transient disturbances in the extracted photoplethysmogram (PPG) signals;
c. a segmentation module (208) adapted for segmenting the photoplethysmogram (PPG) signals post detection and elimination of corruption caused by larger and transient disturbances;
d. an inconsistency identification module (210) adapted for identifying inconsistent segments from the segmented photoplethysmogram (PPG) signals;
e. an anomaly detection module (212) adapted for detecting anomalies from the identified inconsistent segments of the photoplethysmogram (PPG) signals;
f. an anomaly analytics module (214) adapted for analysing the detected anomalies of the photoplethysmogram (PPG) signals; and

g. a decision module (216) adapted for identifying photoplethysmogram (PPG) signal segments corrupted by smaller and prolonged disturbances.
, Description:As Attached