Fusing wrist pulse and ECG data for enhanced identification of coronary heart disease and its complications

Fusing wrist pulse and ECG data for enhanced identification of coronary heart disease and its complications

ObjectivesThis study aimed to explore the potential of synchronously acquiring wrist pressure pulse wave (PPW) and limb lead electrocardiogram (ECG) signals for the development of an identification model for coronary heart disease (CHD) and its associated comorbidities.MethodsA custom-designed devic...

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Bibliographic Details
Main Authors: Lei-Xin Hong, Wen-Jie Wu, Xia Chen, Dan-Qun Xiong, Ye-Qing Zhang, Xiang-Dong Xu, Jian-Jun Yan, Rui Guo
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-07-01
Series:Frontiers in Physiology
Subjects:
coronary heart disease
complications
synchronous acquisition of ECG and PPW
machine learning algorithms
modeling
Online Access:https://www.frontiersin.org/articles/10.3389/fphys.2025.1628309/full
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https://www.frontiersin.org/articles/10.3389/fphys.2025.1628309/full

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