EEG Signal Classification Using Hidden Markov Model

Language: English

Published by LAP LAMBERT Academic Publishing Nov 2018, 2018

6139961327 / 9786139961320

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This item is printed on demand - Print on Demand Titel. Neuware -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).VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 60 pp. Englisch.

Seller Inventory # 9786139961320

Title
EEG Signal Classification Using Hidden Markov Model
Author
Vigneshkumar Arunachalam
Publisher
LAP LAMBERT Academic Publishing Nov 2018
Publication year
2018
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
6139961327
ISBN 13
9786139961320
Item weight
107 grams
Dimensions
220x150x4 mm

buchversandmimpf2000

Emtmannsberg, BAYE, Germany

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