Title :
Detecting T-wave Using Separated Beats by Adaptive Threshold
Author :
Zarrini, Mahdi ; Sadr, Ali
Author_Institution :
Dept. of Electr. Eng., Iran Univ. of Sci. & Technol., Tehran, Iran
Abstract :
Many methods are used for analyzing ECG signal to predict cardiac events. The most recent suggested method is T-wave alternans. TWA refers to beat-to-beat variations of T-wave. This alternans is used as a predictor of mortal arrhythmia and sudden cardiac death (SCD). In this paper, we presented a new time domain approach based on searching local maxima after S location. Using an adaptive threshold, beats are separated. Then, they can be used in the processing stage of T detecting. The database which is used in this paper, is well known MIT-BIH database, available on Physionet Web site. Designed algorithm applied on 19 records of this database.
Keywords :
electrocardiography; medical signal processing; time-domain analysis; ECG signal analysis; MIT-BIH database; Physionet Web site; T-wave detection; adaptive threshold; local maxima searching; mortal arrhythmia predictor; sudden cardiac death; time domain approach; Adaptive signal detection; Algorithm design and analysis; Databases; Electrocardiography; Event detection; Noise cancellation; Signal analysis; Signal processing; Wavelet coefficients; Wavelet transforms; Adaptive threshold; ECG; T-Wave;
Conference_Titel :
Computer and Electrical Engineering, 2009. ICCEE '09. Second International Conference on
Conference_Location :
Dubai
Print_ISBN :
978-1-4244-5365-8
Electronic_ISBN :
978-0-7695-3925-6
DOI :
10.1109/ICCEE.2009.98
