Title :
EEG monitoring based on fuzzy classification
Author :
Kittel, W. Armin ; Epstein, Charles M. ; Hayes, Monson H.
Author_Institution :
Sch. of Electr. Eng., Georgia Inst. of Technol., Atlanta, GA, USA
Abstract :
The problem of automatic monitoring of electroencephalogram (EEG) recordings is addressed. A new approach based on fuzzy classification of spike events in the EEG is used in a monitoring system to reduce the number of false positive classifications. The overall monitoring system is divided into three phases of analysis: the transformation of the monitored signals into a symbolic representation; the syntactic classification of potential spikes; and the semantic verification of these spike events for the 16-channel EEG. This system is described along with results from recognition experiments
Keywords :
biomedical measurement; electroencephalography; fuzzy logic; medical signal processing; patient monitoring; pattern recognition; EEG monitoring; automatic monitoring; electroencephalogram; fuzzy classification; recognition experiments; semantic verification; spike events; symbolic representation; syntactic classification; Biomedical monitoring; Computerized monitoring; Electroencephalography; Epilepsy; Fuzzy systems; Medical diagnostic imaging; Patient monitoring; Pattern analysis; Shape; Signal analysis;
Conference_Titel :
Circuits and Systems, 1992., Proceedings of the 35th Midwest Symposium on
Conference_Location :
Washington, DC
Print_ISBN :
0-7803-0510-8
DOI :
10.1109/MWSCAS.1992.271227
