Principles of multivariate analysis: a user's perspective
Principles of multivariate analysis: a user's perspective
IKNN: Informative K-Nearest Neighbor Pattern Classification
PKDD 2007 Proceedings of the 11th European conference on Principles and Practice of Knowledge Discovery in Databases
ICYCS '08 Proceedings of the 2008 The 9th International Conference for Young Computer Scientists
Detection of epileptic spikes with empirical mode decomposition and nonlinear energy operator
ISNN'05 Proceedings of the Second international conference on Advances in Neural Networks - Volume Part III
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Hypnosis has long been known to be associated with heightened control over physical processes and researchers put it under consideration because of its usage as a therapeutic tool in many medical and psychological problems. Determination of hypnosis susceptibility level is important before prescribing any hypnotic treatment. In this study different features are introduced to classify hypnotizability levels. These features were extracted from electroencephalogram (EEG) signals which were recorded from 32 subjects during hypnosis suggestion. Based on the obtained result, a method was suggested to estimate the hypnosis susceptibility level from hypnosis EEG signals instead of using traditional clinical subjective tests.