22 March 1996 Biomedical application of wavelets: analysis of electroencephalograph signals for monitoring depth of anesthesia
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Abstract
The wavelet transform (WT) has been used to study the nonstationary information in the electroencephalograph (EEG) as an aid in determining the anesthetic depth. A complex analytic mother wavelet is utilized to obtain the time evolution of the various spectral components of the EEG signal. The technique is utilized for the detection and spectral analysis of transient and background processes in the awake and asleep states. It can be observed that the response of both states before the application of the stimulus is similar in amplitude but not in spectral contents, which suggests a background activity of the brain. The brain reacts to the external stimulus in two different modes depending on the state of consciousness of the subject. In the case of awake state, there is an evident increase in response, while for the sleep state a reduction in this activity is observed. This analysis seems to suggest that the brain has an ongoing background process that monitors external stimulus in both the sleep and awake states.
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Agostino Abbate, Agostino Abbate, A. Nayak, A. Nayak, J. Koay, J. Koay, R. J. Roy, R. J. Roy, Pankaj K. Das, Pankaj K. Das, } "Biomedical application of wavelets: analysis of electroencephalograph signals for monitoring depth of anesthesia", Proc. SPIE 2762, Wavelet Applications III, (22 March 1996); doi: 10.1117/12.236014; https://doi.org/10.1117/12.236014
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