Low-cost detection of cardiovascular disease on chronic kidney disease and dialysis patients based on hybrid heterogeneous ECG features including T-wave alternans and heart rate variability

Tsu Wang Shen, Te-Chao Fang, Yi Ling Ou, Chih Hsien Wang

研究成果: 書貢獻/報告類型會議貢獻

3 引文 斯高帕斯(Scopus)

摘要

Accumulating evidence shows that cardiovascular disease (CVD) contributes substantial burden to dialysis patients, accounting for almost 50 percent of mortality in dialysis population. Traditional clinical risk factors may not totally explain and predict CVD high mortality. The aim of this research is to develop a non-invasive, low-cost method for dialysis patients to evaluate their risks on cardiovascular disease (CVD) by hybrid heterogeneous ECG features including T-wave alternans and heart rate variability. A decision-based neural network (DBNN) structure is used for feature fusion and it provides overall 71.07% accuracy for CVD identification.
原文英語
主出版物標題Computing in Cardiology
頁面561-564
頁數4
37
出版狀態已發佈 - 2010
對外發佈Yes
事件Computing in Cardiology 2010, CinC 2010 - Belfast, 英国
持續時間: 九月 26 2010九月 29 2010

其他

其他Computing in Cardiology 2010, CinC 2010
國家英国
城市Belfast
期間9/26/109/29/10

ASJC Scopus subject areas

  • Computer Science Applications
  • Cardiology and Cardiovascular Medicine

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