A microcomputer-based system for automated EEG collection and scoring of behavioral state in cats.

A data acquisition and analysis system based on an Apple II microcomputer has been developed for use in sleep studies in the adult cat. The system reliably counts delta, spindle, and EMG waveforms, PGO waves, and REMs using amplitude and frequency criteria. These data can be used to algorithmically score sleep-wake state with high reliability (greater than 90% agreement with manual scoring). This method allows for automatic and quantitative analysis of selected EEG waveforms and sleep-wake states with less expense, more time savings, and greater convenience than manual scoring.