Katsuro Okamoto

Automatic analysis of EEG and behavior records of rats using an FFT

For animal studies with psychotropic drugs, such as sleep-inducer, fundamental data for establishing the characteristics of a standard state of EEG is essential. In this study, statistical analysis using rat biometric system MUPREMS was utilized and polygraphic measurements were carried out over a 24 hour period. Since visually operated classification of recorded data takes a long time, an automated computer analysis system for rat EEG was developed using FFT. EEG, ECG, EMG and EOG were measured from three Wistar rats. Infrared video recordings were also carried out. Four stages from the video recording, six stages from biomedical recordings were defined to determine the sleep stage and wakefulness. Outputs were compared with the classification results of the visual inspection. As a result, this method was comparable to visual classification. The future problem is also found for the state integration such contextual characteristics on the time axis with the behavior data.