Title :
Comparison Between Neural-Network-Based Adaptive Filtering and Wavelet Transform for ECG Characteristic Points Detection
Author :
Szildgyi, S.M. ; Szildgyi, L. ; David, László
Author_Institution :
Technical University of Budapest, Hungary
fDate :
Oct. 30 1997-Nov. 2 1997
Keywords :
adaptive signal detection; electrocardiography; medical signal detection; neural nets; wavelet transforms; 50 Hz; ECG characteristic points detection; MIT-BIH database; P waves; T waves; abrupt baseline shift; baseline drift; electrodiagnostics; electromyographic interference; motion; neural-network-based adaptive filtering; noise level corrupted signal; recognition rate; respiration; sampling rate; Adaptive filters; Electrocardiography; Filtering; Fourier transforms; Information analysis; Neural networks; Noise level; Sampling methods; Signal analysis; Wavelet transforms;
Conference_Titel :
Engineering in Medicine and Biology Society, 1997. Proceedings of the 19th Annual International Conference of the IEEE
Conference_Location :
Chicago, IL, USA
Print_ISBN :
0-7803-4262-3
DOI :
10.1109/IEMBS.1997.754523
