Title :
EEG Spike Detection Based on Qualitative Modeling of Visual Observation
Author :
Shao, Chenxi ; Li, Shaobin ; Fan, Jinfeng
Author_Institution :
USTC, Hefei
Abstract :
An EEG spike wave detection method based on qualitative modeling of visual observation is proposed in this paper. The method, based on qualitative measurement of sharpness degree of waves at spike wave frequencies, constructs a qualitative description model of visual observation to discriminate spike waves from none spike waves. The application of this method is illustrated with an example. And the corresponding result shows that this method is effective and direct to a certain extent.
Keywords :
electroencephalography; medical signal processing; EEG spike detection; EEG spike wave detection; electroencephalography; qualitative measurement; qualitative modeling; visual observation; wave frequency; wave sharpness degree; Automation; Brain modeling; Computer science; Electroencephalography; Epilepsy; Frequency measurement; Humans; Laboratories; Signal processing; Software quality;
Conference_Titel :
Fuzzy Systems and Knowledge Discovery, 2007. FSKD 2007. Fourth International Conference on
Conference_Location :
Haikou
Print_ISBN :
978-0-7695-2874-8
DOI :
10.1109/FSKD.2007.264