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.
Original language | English |
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Pages | 40-51 |
Number of pages | 12 |
Volume | 52 |
No. | 11 |
Specialist publication | Computer |
DOIs | |
Publication status | Published - Nov 2019 |
ASJC Scopus subject areas
- General Computer Science