A new method for epileptic waveform recognition using wavelet decomposition and artificial neural networks

Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings

Volumn 3, Issue , 2002, Pages 2025-2026

  Szilagyi L ^a   Benyo Z ^a   Szilagyi S M ^a  

^a BUDAPEST UNIVERSITY OF TECHNOLOGY AND ECONOMICS   (Hungary)

Author keywords

Artificial neural network; EEG; Epilepsy; Signal processing; Wavelet transform

Indexed keywords

COMPUTER AIDED DIAGNOSIS; FOURIER TRANSFORMS; NEURAL NETWORKS; NEUROPHYSIOLOGY; ONLINE SYSTEMS; PATIENT MONITORING; SIGNAL PROCESSING; SPECTRUM ANALYSIS; WAVELET TRANSFORMS;

BRAIN DISORDERS; EPILEPSY; EPILEPTIC WAVEFORM RECOGNITION; ONLINE MONITORING SYSTEM; SEIZURES; WAVELET DECOMPOSITION;

ELECTROENCEPHALOGRAPHY;

EID: 0036915943     PISSN: 05891019     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (3)

1. J. S. Barlow, "The Electroencephalogram. Its patterns and Origins," MIT Press, Massachusetts, 1993.
2. L. Czinege, M. J. Bloom, "Wavelet-based Spectral Analysis of the Electroencephalogram under Brain Ischemia," Proc. of 19th Annual International Conference of IEEE EMBS, Chicago, pp. 1293-1296, 1997.
3. L. Szilágyi, "On-line QRS Complex Detection Using Wavelet Filtering," Proc. of 19th Annual International Conference of IEEE EMBS, Istanbul, 598.pdf, pp. 1-3, 2001.