Wavelet preprocessing for automated neural network detection of EEG spikes
- 1 January 1995
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Engineering in Medicine and Biology Magazine
- Vol. 14 (2) , 160-166
- https://doi.org/10.1109/51.376754
Abstract
No abstract availableKeywords
This publication has 14 references indexed in Scilit:
- The use of wavelet transform as a preprocessor for the neural network detection of EEG spikesPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Multilevel neural network system for EEG spike detectionPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Time-frequency digital filtering based on an invertible wavelet transform: an application to evoked potentialsIEEE Transactions on Biomedical Engineering, 1994
- Automatic EEG spike detection: what should the computer imitate?Electroencephalography and Clinical Neurophysiology, 1993
- A multistage system to detect epileptiform activity in the EEGIEEE Transactions on Biomedical Engineering, 1993
- The use of the wavelet transform in the detection of an unknown transient signalIEEE Transactions on Information Theory, 1992
- Wavelets and signal processingIEEE Signal Processing Magazine, 1991
- Context-based automated detection of epileptogenic sharp transients in the EEG: elimination of false positivesIEEE Transactions on Biomedical Engineering, 1989
- Orthonormal bases of compactly supported waveletsCommunications on Pure and Applied Mathematics, 1988
- Automatic recognition and quantification of interictal epileptic activity in the human scalp EEGElectroencephalography and Clinical Neurophysiology, 1976