An intelligent classifier for heart health- based on radial myocardial strain and electrocardiogram

Pei Kuang Chao*, Hsiao Lung Chan, Chun Li Wang

*此作品的通信作者

研究成果: 圖書/報告稿件的類型會議稿件同行評審

1 引文 斯高帕斯(Scopus)

摘要

Heart health is important for anyone everywhere. The electrocardiograms (ECG) and echocardiograms are common-used and critical clinical assessment of the heart. A classifier based on ECG and echocardiograms for identifying heart health and offering objective suggestion was proposed. Clinical data and cardiologists' diagnosis were used to evaluate the classifier. The accuracy rate to identify heart condition between healthy and ill was about 90% and over. Among the heart disease trials, which of them indicates to cardiac resynchronization therapy (CRT) can be distinguished with an accuracy rate of 75%. This work may facilitate clinical data reading and serve as a heart health consulter when needed. More factors will be investigated in future studies to keep upgrading the classifier.

原文英語
主出版物標題World Congress on Medical Physics and Biomedical Engineering
主出版物子標題Image Processing, Biosignal Processing, Modelling and Simulation, Biomechanics
發行者Springer Verlag
頁面1337-1340
頁數4
版本4
ISBN(列印)9783642038815
DOIs
出版狀態已出版 - 2009
事件World Congress on Medical Physics and Biomedical Engineering: Image Processing, Biosignal Processing, Modelling and Simulation, Biomechanics - Munich, 德國
持續時間: 07 09 200912 09 2009

出版系列

名字IFMBE Proceedings
號碼4
25
ISSN(列印)1680-0737

Conference

ConferenceWorld Congress on Medical Physics and Biomedical Engineering: Image Processing, Biosignal Processing, Modelling and Simulation, Biomechanics
國家/地區德國
城市Munich
期間07/09/0912/09/09

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