Title :
The selection of the basic ECG wave
Author :
Wan, F.Y. ; Gong, M.K. ; Yuan, Z.D.
Author_Institution :
East China Normal Univ., Shanghai, China
Abstract :
Some algorithms such as statistical analysis, wavelet analysis and cluster analysis are derived through analysing 296 sample ECGs and the heart rate is selected as the criteria for these algorithms. The comparing our results using several computing methods with the true heart rates of ECG, which come from doctors, shows that our result approaches to the truth. The accurate percentage of the computing result shows the wavelet method is more powerful and faster than statistical analysis.
Keywords :
electrocardiography; feature extraction; medical signal processing; wavelet transforms; ECG wave; cluster analysis; feature extraction; heart rate; statistical analysis; wavelet analysis; Algorithm design and analysis; Clustering algorithms; Electrocardiography; Feature extraction; Heart rate; Statistical analysis; Wavelet analysis;
Conference_Titel :
Intelligent Control and Automation, 2004. WCICA 2004. Fifth World Congress on
Print_ISBN :
0-7803-8273-0
DOI :
10.1109/WCICA.2004.1343787
