Computer-based recognition of EEG patterns.
A critical "mini-overview" is presented of several computer-based techniques proposed for the automated recognition of specific EEG patterns, important in visual EEG analysis. Both phasic and tonic EEG patterns are addressed. The techniques discussed include methods based on power spectrum analysis and on period-amplitude analysis, "mimetic" methods and related implementations in an expert system approach, and methods based on artificial neural networks.
Ktonas
P Y
PY
Department of Electrical and Computer Engineering, University of Houston, TX, USA.
D004569:Electroencephalography; D001330:Electronic Data Processing; D006801:Humans; D016571:Neural Networks, Computer