Many people suffering from epilepsy can be controlled with the help of anti -epileptic drugs. For some people remission is possible and for some people, who suffer from epilepsy, some sort of specialist overview is required, however, to co-ordinate both the treatment and diagnosis, the general practitioner plays a major role. Epilepsy in general can be controlled for most patients, provided they maintain a healthy lifestyle. People suffering from epilepsy should not unnecessarily strain themselves and it is good to avoid excess alcohol, dehydration, flash lights and illicit drugs. Based on the Electroencephalography (EEG) signal analysis, epilepsy can be easily detected. For epileptic patients, during a particular seizure, the EEG signals shows a specific pattern and it is different in terms of space, frequency and time when compared to the normal state of the brain. In this paper, the dimensions of the EEG are reduced with the help of Factor Analysis and then it is classified with the help of Weighted K Nearest Neighbour Classifier.
Factor Analysis and Weighted KNN Classifier for Epilepsy Classification from EEG signals
01.03.2018
2295460 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch