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Assessment Of A Non-Invasive High-Throughput Classifier For Behaviours Associated With Sleep And Wake In Mice, Kevin D. Donohue, Dharshan C. Medonza, Eli R. Crane, Bruce F. O'Hara

Biology Faculty Publications

This work presents a non-invasive high-throughput system for automatically detecting characteristic behaviours in mice over extended periods of time, useful for phenotyping experiments. The system classifies time intervals on the order of 2 to 4 seconds as corresponding to motions consistent with either active wake or inactivity associated with sleep. A single Polyvinylidine Difluoride (PVDF) sensor on the cage floor generates signals from motion resulting in pressure. This paper develops a linear classifier based on robust features extracted from normalized power spectra and autocorrelation functions, as well as novel features from the collapsed average (autocorrelation of complex spectrum), which characterize …