Title :
Continuous wavelet transform for the detection and classification of epileptiform activity in the EEG
Author :
Goelz, Hansjerg ; Jones, Richard D. ; Bones, Philip J.
Author_Institution :
Dept. of Med. Phys., Christchurch Hosp., New Zealand
Abstract :
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 epileptiform discharges (EDs) is measured with respect to artifact-free background activity (BG). A detector based on the WCs of a single scale could operate at 45% sensitivity without false alarms or at 99% sensitivity with 19 false alarms per minute on an artifact-free recording
Keywords :
electroencephalography; medical signal detection; medical signal processing; signal classification; wavelet transforms; artifact-free background activity; artifact-free recording; complex-valued wavelet filter; continuous wavelet transform; electrodiagnostics; epileptiform activity classification; epileptiform activity detection; false alarms; Biomedical engineering; Continuous wavelet transforms; Detectors; Discrete wavelet transforms; Electroencephalography; Epilepsy; Filters; Frequency; Wavelet analysis; Wavelet transforms;
Conference_Titel :
[Engineering in Medicine and Biology, 1999. 21st Annual Conference and the 1999 Annual Fall Meetring of the Biomedical Engineering Society] BMES/EMBS Conference, 1999. Proceedings of the First Joint
Conference_Location :
Atlanta, GA
Print_ISBN :
0-7803-5674-8
DOI :
10.1109/IEMBS.1999.804095
