Continuous wavelet transform for the detection and classification of epileptiform activity in the EEG (1999)
AuthorsGölz, H., Jones, R.D., Bones, P.J.show all
This paper outlines a novel approach to wavelet based detection of epileptiform activity in the EEG. A special complex-valued wavelet filter is used in a continuous wavelet transform (CWT). The response of wavelet coefficients (WCs) to euileutiform discharges (EDs) is measured with artifact-free background and definite EDs is achieved. A detector based on the WCs of this scale could operate at 45%sensitivity without false alarms, or at 99% sensitivity with 19 false alarms per minute on an artifact-free recording.
CitationGölz, H., Jones, R.D. and Bones, P.J. (1999) Continuous wavelet transform for the detection and classification of epileptiform activity in the EEG . Atlanta, USA: Proceedings of the 21st Annual International Conference IEEE Eng. in Med. Biol. Soc., October, 1999.
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