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
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;
Conference_Titel :
Engineering in Medicine and Biology Society, 1995., IEEE 17th Annual Conference
Conference_Location :
Montreal, Que.
Print_ISBN :
0-7803-2475-7
DOI :
10.1109/IEMBS.1995.575060
