Bookcover of EEG Signal Classification Using Hidden Markov Model
Booktitle:

EEG Signal Classification Using Hidden Markov Model

LAP LAMBERT Academic Publishing (2018-11-30 )

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ISBN-13:

978-613-9-96132-0

ISBN-10:
6139961327
EAN:
9786139961320
Book language:
English
Blurb/Shorttext:
This book emphasize on Epilepsy which is a neurological disorder with preponderance of about 1-2% of the world’s population. It is due to excessive synchronization of cortical neuronal networks and is characterized by sudden recurrent and transient disturbances of perception or behavior. Epileptic seizures are classified as partial or focal, generalized, unilateral and unclassified seizures. Focal epileptic seizures involve only part of cerebral hemisphere and in corresponding parts of the body. Generalized epileptic seizures involve the entire brain and produce bilateral motor symptoms usually with loss of consciousness. Both types of epileptic seizures can occur at all ages.One of the most important tools for diagnosing Epilepsy includes monitoring brain activity through the electroencephalogram (EEG). The EEG signature is transient waveform of isolated spikes, spike trains.It also assists in classifying the underlying epileptic syndrome. The feature extraction is done by Independent Component Analysis (ICA) and final risk level classification is done by Hidden Markov Model (HMM). Performance evaluation is done by Kappa function and Mean Square Error (MSE).
Publishing house:
LAP LAMBERT Academic Publishing
Website:
https://www.lap-publishing.com/
By (author) :
Vigneshkumar Arunachalam, Harikumar Rajaguru, Ganesh Babu Chidambaram
Number of pages:
60
Published on:
2018-11-30
Stock:
Available
Category:
Informatics, IT
Price:
39.90 €
Keywords:
EEG SIGNAL USING HIDDEN MARKOV MODEL

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