Cloud-Based Artificial Intelligence System for Large-Scale Arrhythmia Screening

Cloud-Based Artificial Intelligence System for Large-Scale Arrhythmia Screening

Atrial fibrillation (AFib) is the most common arrhythmia, and patients with AFib have a five times higher risk for stroke. To develop an efficient and sustainable strategy for detecting undiagnosed AFib, we propose a cloud-based artificial intelligence system for arrhythmia screening, especially for...

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Veröffentlicht in:Computer (Long Beach, Calif.) Calif.), 2019-11, Vol.52 (11), p.40-51
Hauptverfasser: Tseng, Chi-Ho, Lin, Chen, Chang, Hsiang-Chih, Liu, Cyuan-Cin, Serafico, Bess Ma F., Wu, Li-Ching, Lin, Chih-Ting, Hsu, Tien, Huang, Chun-Yao, Lo, Men-Tzung
Format: Artikel
Sprache:eng
Schlagworte:
Arrhythmia
Artificial intelligence
Biomedical monitoring
Cardiac arrhythmia
Cloud computing
Electrocardiography
Fibrillation
Monitoring
Screening
Servers
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Zusammenfassung:Atrial fibrillation (AFib) is the most common arrhythmia, and patients with AFib have a five times higher risk for stroke. To develop an efficient and sustainable strategy for detecting undiagnosed AFib, we propose a cloud-based artificial intelligence system for arrhythmia screening, especially for AFib.
ISSN:0018-9162
1558-0814
DOI:10.1109/MC.2019.2933195