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

被引：6

作者：

Tseng, Chi-Ho ^{[1
]}

Lin, Chen ^{[2
]}

Chang, Hsiang-Chih ^{[2
]}

Liu, Cyuan-Cin ^{[2
]}

Serafico, Bess Ma. F. ^{[3
]}

Wu, Li-Ching ^{[4
]}

Lin, Chih-Ting ^{[2
]}

Hsu, Tien ^{[2
,5
,6
]}

Huang, Chun-Yao ^{[8
]}

Lo, Men-Tzung ^{[2
,7
]}

机构：

[1] Natl Taiwan Univ, Grad Inst Biomed Elect & Bioinformat, Taipei, Taiwan

[2] Natl Cent Univ, Dept Biomed Sci & Engn, Taoyuan, Taiwan

[3] Natl Cent Univ, Taoyuan, Taiwan

[4] Natl Cent Univ, Inst Syst Biol & Bioinformat, Taoyuan, Taiwan

[5] Natl Cent Univ, Coll Hlth Sci & Technol, Taoyuan, Taiwan

[6] Natl Cent Univ, Ctr Chron Dis Res & Management, Taoyuan, Taiwan

[7] Natl Cent Univ, Inst Translat & Interdisciplinary Med, Taoyuan, Taiwan

[8] Taipei Med Univ, Dept Internal Med, Sch Med, Coll Med, Taipei, Taiwan

来源：

COMPUTER | 2019年 / 52卷 / 11期

关键词：

ATRIAL-FIBRILLATION; HEALTH-CARE; ECG;

D O I：

10.1109/MC.2019.2933195

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

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.

引用

页码：40 / 51

页数：12

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