Alcoholism diagnosis from EEG signals using continuous wavelet transform

Abstract

Effective working of brain computer interface largely depends upon mental state and vigilance level of human brain. Electroencephalogram signal undergoes for unpredictable changes when vigilance state of human brain alters widely and sometimes cause wrong interpretation by brain computer interface during operation. Hence, brain computer interface needs to… (More)

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@article{Upadhyay2014AlcoholismDF, title={Alcoholism diagnosis from EEG signals using continuous wavelet transform}, author={Raksha Upadhyay and P. K. Padhy and P. K. Kankar}, journal={2014 Annual IEEE India Conference (INDICON)}, year={2014}, pages={1-5} }