Computerized analysis of epileptic activity and sleep in mobile long-term EEG monitoring.
Implemented on a LSI 11/73 microcomputer, an approach is presented to perform pattern recognition of one channel in high speed (factor 20). A mimetic algorithm, acting in time domain, continuously tests the signal with respect to the occurrence of spike-wave-like patterns and calculates a low frequency index describing the time of sleep. Those epochs suspected of containing paroxysmal activity are stored on disk for subsequent editing. In a similar way, 8-channel analysis is possible if the replay speed is less than 20 times real time.
D000553:Ambulatory Care; D004569:Electroencephalography / Q000379:methods*; D001330:Electronic Data Processing / Q000379:methods*; D004827:Epilepsy / Q000503:physiopathology*; D006801:Humans; D008838:Microcomputers; D008991:Monitoring, Physiologic; D010363:Pattern Recognition, Automated; D012890:Sleep / Q000502:physiology*; D013997:Time Factors