Atrial Fibrillation Identification With PPG Signals Using a Combination of Time-Frequency Analysis and Deep Learning

Atrial Fibrillation Identification With PPG Signals Using a Combination of Time-Frequency Analysis and Deep Learning

Atrial fibrillation (AF) is the most common persistent arrhythmia and is likely to cause strokes and damage to heart function in patients. Electrocardiogram (ECG) is the gold standard for detecting AF. However, ECGs have short boards with short monitoring cycles and problems with gathering. It is al...

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Bibliographic Details
Main Authors: Peng Cheng, Zhencheng Chen, Quanzhong Li, Qiong Gong, Jianming Zhu, Yongbo Liang
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Atrial fibrillation
photoplethysmography (PPG)
time-frequency analysis
convolutional neural networks (CNN)
long short-term memory (LSTM)
Online Access:https://ieeexplore.ieee.org/document/9201275/

Internet

https://ieeexplore.ieee.org/document/9201275/

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