DocumentCode :
1837291
Title :
Using morphological filters to extract spiky transients in EEG
Author :
Luo, X.G. ; Peng, C.L. ; Guo, X.M.
Author_Institution :
Coll. of Bioeng., Chongqing Univ., China
fYear :
2005
fDate :
26-28 May 2005
Firstpage :
72
Lastpage :
74
Abstract :
In this paper, we use four basic morphological operators to construct a bandpass filter, and also investigate the construct method of the filter in detail. Furthermore, we give the algorithm flowchart of this filter. The result of experiment shows that this morphological filter can be applied to eliminate noise from EEG signal by two different length structure elements and it has advanced property that can remove noise without damage signal useful information. Using this algorithm, we can filter noise and extract spiky transients in EEG effectively.
Keywords :
band-pass filters; bioelectric phenomena; electroencephalography; filtering theory; medical signal processing; neurophysiology; noise; EEG; algorithm flowchart; bandpass filter; morphological filters; noise filtering; noise removal; spiky transient extraction; Band pass filters; Data mining; Electroencephalography; Flowcharts; Information filtering; Information filters; Laboratories; Morphology; Signal processing; Signal processing algorithms;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Interface and Control, 2005. Proceedings. 2005 First International Conference on
Print_ISBN :
0-7803-8902-6
Type :
conf
DOI :
10.1109/ICNIC.2005.1499845
Filename :
1499845
Link To Document :
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