DocumentCode
2383263
Title
Comparison of detection methods: application to K-complex detection in sleep EEG
Author
Henry, Didier ; Sauter, Dominique ; Caspary, Olivier
Author_Institution
Centre de Recherche en Autom., Nancy I Univ., France
fYear
1994
fDate
1994
Firstpage
1218
Abstract
Detection of a particular event with a known pattern in a noisy signal is the subject considered here. The authors´ purpose is to compare three events detection methods based on matched filtering, decomposition in a set of orthonormal functions and wavelets analysis. The application which is considered here concerns K-complex detection in sleep EEG signals
Keywords
electroencephalography; K-complex detection; decomposition; detection methods comparison; events detection methods; matched filtering; orthonormal functions set; sleep EEG; Additive noise; Electroencephalography; Event detection; Filtering; Humans; Integrated circuit noise; Matched filters; Sleep; Testing; Wavelet analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Engineering in Medicine and Biology Society, 1994. Engineering Advances: New Opportunities for Biomedical Engineers. Proceedings of the 16th Annual International Conference of the IEEE
Conference_Location
Baltimore, MD
Print_ISBN
0-7803-2050-6
Type
conf
DOI
10.1109/IEMBS.1994.415401
Filename
415401
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