Title :
Hybrid processing and time-frequency analysis of ECG signal
Author :
Tu, C.Y. ; Zeng, Y.J. ; Ren, X.Y. ; Wu, S.C. ; Yang, X.C.
Author_Institution :
Biomechanics & Medical Information Inst., Beijing Polytech. Univ., China
Abstract :
A new simple approach basing on the histogram and genetic algorithm(GA) to efficiently detect QRS-T complexes of the ECG curve is described, so as to easily get the P-wave (when AF does not happen) or the f-wave (when AF happens). By means of signal processing techniques such as the power spectrum function, the auto-correlation function and cross-correlation function, two kinds of ECG signal when AF does or does not happen were successively analyzed, showing the evident differences between them.
Keywords :
electrocardiography; genetic algorithms; medical signal processing; time-frequency analysis; ECG signal hybrid processing; QRS-T complex detection; atrial fibrillation; auto-correlation function; cross-correlation function; genetic algorithm; power spectrum function; time-frequency analysis; Adaptive filters; Band pass filters; Biomechanics; Electrocardiography; Filtering; Histograms; Signal analysis; Signal processing; Signal processing algorithms; Time frequency analysis; AF(atrial fibrillation); ECG curve; GA(genetic algorithm); histogram;
Conference_Titel :
Engineering in Medicine and Biology Society, 2004. IEMBS '04. 26th Annual International Conference of the IEEE
Conference_Location :
San Francisco, CA
Print_ISBN :
0-7803-8439-3
DOI :
10.1109/IEMBS.2004.1403167
