The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Apr. 14, 2025

Filed:

Jun. 30, 2020
Applicant:

Tata Consultancy Services Limited, Mumbai, IN;

Inventors:

Sanjay Madhukar Kimbahune, Thane, IN;

Sujit Raghunath Shinde, Thane, IN;

Arpan Pal, Kolkata, IN;

Sundeep Khandelwal, Noida, IN;

Tanuka Bhattacharjee, Kolkata, IN;

Shalini Mukhopadhayay, Kolkata, IN;

Rohan Banerjee, Kolkata, IN;

Avik Ghose, Kolkata, IN;

Tapas Chakravarty, Kolkata, IN;

Assignee:
Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
A61B 5/024 (2005.12); A61B 5/00 (2005.12); A61B 5/339 (2020.12); G06N 20/00 (2018.12);
U.S. Cl.
CPC ...
A61B 5/02416 (2012.12); A61B 5/0006 (2012.12); A61B 5/0024 (2012.12); A61B 5/339 (2020.12); A61B 5/6801 (2012.12); A61B 5/7275 (2012.12); A61B 5/7292 (2012.12); A61B 5/742 (2012.12); G06N 20/00 (2018.12);
Abstract

Embodiments herein provide a system and method for screening and monitoring of cardiac diseases by analyzing acquired physiological signals. Unlike state of art approaches that consider only synchronized ECG and PPG signals for cardiac health analysis and do not consider PCG which is a critical signal for CAD analysis, the system synchronously captures physiological signals such as photo plethysmograph (PPG), phonocardiogram (PCG) and electrocardiogram (ECG) from subject(s) and builds an analytical model in the cloud for analyzing heart conditions from the captured physiological signals. The system and method provides a fusion based approach of combining the captured physiological signals such as PPG, PCG and ECG along with other details such as subject clinical information, demography information and so on. The analytical model is pretrained using ECG. PPG and PCG along with metadata associated with the subject such as demography and clinical information.


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