Review of Different Techniques to Detect Epilepsy |
Author(s): |
Avneet Kaur , Punjabi University Regional Center for IT and Management , Mohali; Dr. Supreet Kaur, Punjabi University Regional Center for IT and Management , Mohali |
Keywords: |
Electroencephalogram (EEG) Signal, Epilepsy, Empirical Mode Decomposition, EEG Signal Analysis |
Abstract |
Epilepsy seizures are the assumed abnormal brain activities which interrupt the common activity of the brain. These abnormal activities arise because of unpredicted electrical activity in the brain. Brain controls the different parts and different functions of the body. Brain cells are communicated by sending the electrical signals in a proper format. Epilepsy is a neurological disorder caused by malfunctioning nerve cell activity in the brain. These malfunctions cause episodes called seizures. In this paper we will evaluated and validated on the basis of the statistical parameters like accuracy, sensitivity and specificity and by comparing it with other art of techniques. The purposed method will emphasize the novel parameters which may more efficiently define the spikes as they are the main characteristics find in the EEG signals with seizure activities. The decomposition techniques the choice of classification model will also be considered otherwise. |
Other Details |
Paper ID: IJSRDV4I60413 Published in: Volume : 4, Issue : 6 Publication Date: 01/09/2016 Page(s): 848-850 |
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