Title :
Detect short run of TWA event with time-domain algorithm
Author :
Hostetler, B. ; Xue, J. ; Young, B. ; Kaiser, W. ; Findeis, M. ; Gutterman, D.
Author_Institution :
Med. Coll. of Wisconsin, Milwaukee, WI
Abstract :
T-wave alternans (TWA) has been associated with ventricular arrhythmias, and some of them are non-stationary, short-episode events (less than 128 beats). A specific time-domain algorithm for isolating T-wave alternans from ECG signals during exercise was developed. The purpose of this study was to test the hypothesis that the time-domain TWA algorithm can accurately quantify exercise TWA patterns, either long or short in duration, and evaluate the TWA measurement difference between time-domain and frequency-domain TWA methods
Keywords :
biomechanics; biomedical measurement; electrocardiography; medical signal detection; muscle; time-domain analysis; ECG signals; T-wave alternans detection; exercise; frequency-domain methods; time-domain algorithm; ventricular arrhythmias; Cardiology; Detection algorithms; Electrocardiography; Event detection; Noise generators; Noise level; Signal processing algorithms; Signal to noise ratio; Testing; Time domain analysis;
Conference_Titel :
Computers in Cardiology, 2005
Conference_Location :
Lyon
Print_ISBN :
0-7803-9337-6
DOI :
10.1109/CIC.2005.1588142
