Entropy-based reliable non-invasive detection of coronary microvascular dysfunction using machine learning algorithm

Purpose: Coronary microvascular dysfunction (CMD) is emerging as an important cause of myocardial ischemia, but there is a lack of a non-invasive method for reliable early detection of CMD. Aim: To develop an electrocardiogram (ECG)-based machine learning algorithm for CMD detection that will l...

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Bibliographic Details

Published in:	Mathematical Biosciences and Engineering
Main Authors:	Xiaoye Zhao, Yinlan Gong, Lihua Xu, Ling Xia, Jucheng Zhang, Dingchang Zheng, Zongbi Yao, Xinjie Zhang, Haicheng Wei, Jun Jiang, Haipeng Liu, Jiandong Mao
Format:	Article
Language:	English
Published:	AIMS Press 2023-06-01
Subjects:	coronary microvascular dysfunction (cmd) myocardial ischemia entropy machine learning electrocardiogram (ecg) vectorcardiogram (vcg)
Online Access:	https://www.aimspress.com/article/doi/10.3934/mbe.2023582?viewType=HTML