DocumentCode
2957787
Title
Identification of cardiac arrhythmias using a damped exponential-predominant frequency algorithm
Author
Chen, Szi-Wen ; Clarkson, Peter M.
Author_Institution
Biomed. Eng. Center, Ohio State Univ., Columbus, OH, USA
Volume
1
fYear
1995
fDate
20-25 Sep 1995
Firstpage
181
Abstract
The authors describe a new approach for the discrimination of ventricular fibrillation (VF) from ventricular tachycardia (VT) based on a damped exponential (DE) modeling algorithm. Classification is achieved by simple linear separation applied to a novel feature, dubbed predominant frequency (PF), derived from the DE model. Tests conducted using 70 episodes drawn from the MIT-BIH malignant arrhythmia database produced total predictive accuracy exceeding 98%
Keywords
electrocardiography; medical signal processing; ECG classification; MIT-BIH malignant arrhythmia database; cardiac arrhythmias identification; damped exponential-predominant frequency algorithm; electrodiagnostics; predictive accuracy; predominant frequency; simple linear separation; Band pass filters; Biomedical engineering; Cancer; Electrocardiography; Fibrillation; Frequency; Heart rate; Signal resolution; Spatial databases; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Engineering in Medicine and Biology Society, 1995., IEEE 17th Annual Conference
Conference_Location
Montreal, Que.
Print_ISBN
0-7803-2475-7
Type
conf
DOI
10.1109/IEMBS.1995.575060
Filename
575060
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