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Estimating Depth of Anesthesia from EEG Signals Using Wavelet Transform
International Journal of Intelligent Information Systems
Volume 3, Issue 4, August 2014, Pages: 40-44
Received: Sep. 29, 2014; Accepted: Oct. 14, 2014; Published: Oct. 30, 2014
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Nusrat Ferdous, Department of Electronics and Communication Engineering, Institute of Science and Technology, Dhaka, Bangladesh
Md. Adnan Kiber, Department of Applied Physics, Electronics and Communication Engineering, University of Dhaka, Dhaka, Bangladesh
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Electroencephalogram (EEG) is the brain signal containing valuable information about the conscious and unconscious states of the brain, which may provide a useful tool to measure depth of anesthesia. However, raw EEG signals received in various states of consciousness cannot be distinguished visually. In this paper an approach is presented to find out difference between EEG signals in fully awake and in deep sleep conditions with respect to the coefficients of wavelet transform. Continuous wavelet transform of the raw EEG signal obtained at different conscious state of a human subject have been performed. Statistical analyses were then performed on coefficient values to determine the differences between the sleep state and the awake state. From statistical t-test analysis significant difference of the two state of consciousness was found.
Anesthesia, EEG, Wavelet Transform, T-Test
To cite this article
Nusrat Ferdous, Md. Adnan Kiber, Estimating Depth of Anesthesia from EEG Signals Using Wavelet Transform, International Journal of Intelligent Information Systems. Vol. 3, No. 4, 2014, pp. 40-44. doi: 10.11648/j.ijiis.20140304.12
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