Author(s)

Prabhat Kumar Upadhyay, Rakesh Kumar Sinha, Bhuwan Mohan Karan

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Continuous wavelet transform (CWT) method has been applied to capture localized time-frequency information of rat electroencephalogram (EEG) in different vigilance states and analyze alterations in transients during awake, slow wave sleep (SWS), and rapid eye movement (REM) sleep stages due to exposure to high environmental heat. Rats were divided in three group (i) acute heat stress-subjected to a single exposure for four hours in the Biological Oxygen Demand (BOD) incubator at 38?C; (ii) chronic heat stress-exposed for 21 days daily for one hour in the incubator at 38?C, and (iii) handling control groups. After two hours long EEG recordings from young healthy rats, EEG data representing three sleep states was visually selected and further subdivided into 2 seconds long epoch. Powers of wavelet spectra corresponding to delta, theta, alpha, and beta bands at all scales and locations were computed and variation in their states investigated. The wavelet analysis of EEG signals following exposure to high environmental heat revealed that powers of subband frequencies vary with time unlike Fourier technique. Changes in higher frequency components (beta) were significant in all sleep-wake states following both acute and chronic heat stress conditions. Percentage power of different components of the four bands was always found to be varying at different intervals of time in the same signal of analysis.

Electroencephalogram; Rat; Sleep; Wavelet transform

Upadhyay, P. , Sinha, R. and Karan, B. (2010) Detection and analysis of the effects of heat stress on EEG using wavelet transform ——EEG analysis under heat stress. Journal of Biomedical Science and Engineering, 3, 405-414. doi: 10.4236/jbise.2010.34056.