Open AccessEeg signal classification for epileptic seizure using MATLAB
Author(s) -
Amita Shukla,
Ravindra Pratap Narwaria
Publication year - 2019
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.i8092.078919
Subject(s) - matlab , electroencephalography , computer science , epilepsy , signal (programming language) , computation , epileptic seizure , signal processing , artificial intelligence , pattern recognition (psychology) , neuroscience , machine learning , algorithm , psychology , computer hardware , digital signal processing , programming language , operating system
Epilepsy is explained as a group of neurological disorder which may be characterized by epileptic seizure within some consequence of unconstraints because of peculiar cortical nerve cell activities in the brain. The manual detection of this disorder by a neurologist is expensive and time consuming also and there may be some loss of accuracy because of fatigue, computer aided approach etc. This work has proposed a method which is highly efficient and gives accurate results over electroencephalogram signals for epilepsy. MATLAB is a very popular, powerful, general-purpose system or it can be said that it is an general purpose environment for matrix algebra calculations and many other more specific computations. It has various applications in Aerospace, Biology, Finance, data acquisition, etc. Here Matlab is used to classify the EEG signals over some parameters. Here a program is developed in MATLAB to check the condition of signal whether it is healthy or unhealthy