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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...
Autores principales: | Hsiao, Wei-Ting, Kan, Yao-Chiang, Kuo, Chin-Chi, Kuo, Yu-Chieh, Chai, Sin-Kuo, Lin, Hsueh-Chun |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8781616/ https://www.ncbi.nlm.nih.gov/pubmed/35062650 http://dx.doi.org/10.3390/s22020689 |
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