Cloud-Based Artificial Intelligence System for Large-Scale Arrhythmia Screening.
Journal
IEEE Computer
Journal Volume
52
Journal Issue
11
Pages
40-51
Date Issued
2019
Author(s)
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
Abstract
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.
Type
journal article