Hybrid-Pattern Recognition Modeling with Arrhythmia Signal Processing for Ubiquitous Health Management

Hybrid-Pattern Recognition Modeling with Arrhythmia Signal Processing for Ubiquitous Health Management

We established a web-based ubiquitous health management (UHM) system, “ECG4UHM”, for processing ECG signals with AI-enabled models to recognize hybrid arrhythmia patterns, including atrial premature atrial complex (APC), atrial fibrillation (AFib), ventricular premature complex (VPC), and ventricula...

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Bibliographic Details
Main Authors: Wei-Ting Hsiao, Yao-Chiang Kan, Chin-Chi Kuo, Yu-Chieh Kuo, Sin-Kuo Chai, Hsueh-Chun Lin
Format: Article
Language:English
Published: MDPI AG 2022-01-01
Series:Sensors
Subjects:
Hilbert–Huang transform
empirical mode decomposition
intrinsic mode function
marginal Hilbert spectrum
multiclass recognition
machine learning
Online Access:https://www.mdpi.com/1424-8220/22/2/689

Internet

https://www.mdpi.com/1424-8220/22/2/689

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