Unconscious State Analysis Using Intelligent Signal Processing Techniques
Biomedical signal and image processing have been occupied an important space in current research. Various methods have been explored since some decades. The methods are very useful to the medical professionals for accurate and faster diagnosis as compared to traditional approaches. This will be helpful to the society as well. In this work, a case of unconsciousness/coma condition has been analysed. Initially image processing approach has been attempted and the segmented image shows one of the causes of unconsciousness/coma as an accidental subject. Furthermore, for no accidental case is analysed using signal classification approach. For this method, the EEG signal has been acquired from normal, alcoholic and epileptic subjects. Next to it the feature has been extracted using wavelet transform. Finally, the signal is classified using Self Organising Map of Neural Network. The result shows the performance of the work.
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Document Type: Research Article
Publication date: February 1, 2016
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