Title :
Interictal EEG spike detection: a new framework based on wavelet transform
Author :
Senhadji, L. ; Carrault, G. ; Bellanger, J.J.
Author_Institution :
Lab. Traitement du Signal et de l´´Image, Rennes I Univ., France
Abstract :
The paper deals with EEG spikes detection based on wavelet representation. A multilevel structure, which locates the temporal segments where abnormal events occur, is described. The methodology retained for the automatic adjustment of the thresholds is presented. The tests are performed both on simulated and real EEG data and the performances of the proposed detector are compared to another one proposed in the literature
Keywords :
electroencephalography; medical signal processing; signal detection; signal representation; wavelet transforms; abnormal events; automatic adjustment; interictal EEG spike detection; multilevel structure; temporal segments; thresholds; wavelet representation; wavelet transform; Background noise; Brain modeling; Electroencephalography; Epilepsy; Event detection; Face detection; Performance evaluation; Signal analysis; Signal processing; Wavelet transforms;
Conference_Titel :
Time-Frequency and Time-Scale Analysis, 1994., Proceedings of the IEEE-SP International Symposium on
Conference_Location :
Philadelphia, PA
Print_ISBN :
0-7803-2127-8
DOI :
10.1109/TFSA.1994.467293
