A training pipeline of an arrhythmia classifier for atrial fibrillation detection using Photoplethysmography signal

A training pipeline of an arrhythmia classifier for atrial fibrillation detection using Photoplethysmography signal

Photoplethysmography (PPG) signal is potentially suitable in atrial fibrillation (AF) detection for its convenience in use and similarity in physiological origin to electrocardiogram (ECG). There are a few preceding studies that have shown the possibility of using the peak-to-peak interval of the PP...

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Bibliographic Details
Main Authors: Sota Kudo, Zheng Chen, Xue Zhou, Leighton T. Izu, Ye Chen-Izu, Xin Zhu, Toshiyo Tamura, Shigehiko Kanaya, Ming Huang
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-01-01
Series:Frontiers in Physiology
Subjects:
atrial fibrillation
ectopic beats
normal sinus rhythm
deep learning
artificial neural network
model generalizability
Online Access:https://www.frontiersin.org/articles/10.3389/fphys.2023.1084837/full

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