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. 19, 2022

Filed:

Dec. 21, 2018
Applicant:

Tata Consultancy Services Limited, Mumbai, IN;

Inventors:

Soma Bandyopadhyay, Kolkata, IN;

Arijit Ukil, Kolkata, IN;

Chetanya Puri, Kolkata, IN;

Rituraj Singh, Kolkata, IN;

Arpan Pal, Kolkata, IN;

C A Murthy, Kolkata, IN;

Assignee:
Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
A61B 5/00 (2006.01); G06K 9/00 (2022.01); G16H 50/20 (2018.01); G16H 50/30 (2018.01); A61B 5/318 (2021.01); G16H 50/70 (2018.01); A61B 5/024 (2006.01);
U.S. Cl.
CPC ...
A61B 5/7264 (2013.01); A61B 5/7203 (2013.01); A61B 5/7221 (2013.01); A61B 5/7282 (2013.01); G06K 9/00503 (2013.01); G16H 50/20 (2018.01); G16H 50/30 (2018.01); G16H 50/70 (2018.01); A61B 5/02416 (2013.01); A61B 5/318 (2021.01);
Abstract

Systems and methods for detecting an anomaly in a cardiovascular signal using hierarchical extremas and repetitions. The traditional systems and methods provide for some anomaly detection in the cardiovascular signal but do not consider the discrete nature and strict rising and falling patterns of the cardiovascular signal and frequency in terms of hierarchical maxima points and minima points. Embodiments of the present disclosure provide for detecting the anomaly in the cardiovascular signal using hierarchical extremas and repetitions by smoothening the cardiovascular signal, deriving sets of hierarchical extremas using window detection, identifying signal patterns based upon the sets of hierarchical extremas, identifying repetitions in the signal patterns based upon occurrences and randomness of occurrences of the signal patterns and classifying the cardiovascular signal as anomalous and non-anomalous for detecting the anomaly in the cardiovascular signal.


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