Method and system for detection of coronary artery disease in person using fusion approach

A coronary artery disease, human detection technology, applied in the direction of measuring pulse/heart rate, application, diagnostic recording/measurement, etc.

Pending Publication Date: 2018-09-14
TATA CONSULTANCY SERVICES LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

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  • Method and system for detection of coronary artery disease in person using fusion approach
  • Method and system for detection of coronary artery disease in person using fusion approach
  • Method and system for detection of coronary artery disease in person using fusion approach

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Embodiment Construction

[0018] Embodiments herein and their various features and advantageous details are explained more fully with reference to the non-limiting embodiments illustrated in the drawings and detailed in the following description. The examples used herein are intended merely to facilitate an understanding of ways in which the embodiments herein may be practiced and to further enable those skilled in the art to practice the embodiments herein. Therefore, the examples should not be construed as limiting the scope of the embodiments herein.

[0019] The words "comprises," "has," "comprises," and "comprises," as well as other forms thereof, are intended to be equivalent in meaning and to be open-ended, since one or more items following any of these words are not An exhaustive list of such item or items is intended, or limitation to only the listed item or items is not intended.

[0020] It must also be noted that, as used herein and in the appended claims, the singular forms "a," "an," and...

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Abstract

A method and system for detection of a coronary artery disease (CAD) in a person using a fusion approach has been described. According to the invention, CAD in the person is detected by capturing of aplurality of physiological signals such as phonocardiogram (PCG), photoplethysmograph (PPG), ECG, galvanic skin response (GSR) etc. from the person. A plurality of features are extracted from the physiological signals. The person is then classified as CAD or normal using each of the features independently. The classification is done based on supervised machine learning technique. The output of the classification is then fused and used for the detection of the CAD in the person using a predefined criterion.

Description

[0001] Cross References to Related Applications [0002] This application claims priority from Indian Patent Application 201721005479 filed on February 16, 2016. technical field [0003] The present application relates generally to the field of coronary artery disease (CAD) detection. More specifically, but not exclusively, the present invention provides a non-invasive system and method for detecting coronary artery disease (CAD) using a fusion approach. Background technique [0004] Coronary artery disease (CAD) is a common heart attack and one of the leading causes of death in individuals. CAD develops as a result of the deposition of cholesterol and other fatty substances on the inner walls of the coronary arteries over time, thereby restricting normal blood flow causing chest pain and heart attacks. Despite substantial work, early noninvasive detection of CAD remains an open field of research to date. [0005] The researchers found that certain noninvasive biomedical ...

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Application Information

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IPC IPC(8): A61B5/024
CPCA61B5/02405A61B5/72A61B5/0205A61B5/7267A61B7/04G16H50/20A61B5/318A61B5/7203A61B5/02416A61B5/0533G06N20/00A61B5/349G06N7/01
Inventor 罗翰·班纳吉阿尼班·杜塔·乔杜里阿尔帕恩·帕尔帕瑞亚特·迪利普·德什潘德卡亚潘达·穆萨纳·曼达纳拉穆·雷迪·温帕达
Owner TATA CONSULTANCY SERVICES LTD
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