EEG Signal Analysis and Classification

Techniques and Applications

AvSiuly Siuly,Yan Li

Inbunden, Engelska, 2017

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1 557 kr

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Beskrivning

This book presents advanced methodologies in two areas related to electroencephalogram (EEG) signals: detection of epileptic seizures and identification of mental states in brain computer interface (BCI) systems.

Produktinformation

Utgivningsdatum:2017-01-10
Mått:155 x 235 x 21 mm
Vikt:576 g
Format:Inbunden
Språk:Engelska
Serie:Health Information Science
Antal sidor:256
Upplaga:17001
Förlag:Springer International Publishing AG
ISBN:9783319476520

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Innehållsförteckning

Electroencephalogram (EEG) and its background.- Significance of EEG signals in medical and health research.- Objectives and structures of the book.- Random sampling in the detection of epileptic EEG signals.- A novel clustering technique for the detection of epileptic seizures.- A statistical framework for classifying epileptic seizure from multi-category EEG signals.- Injecting principal component analysis with the OA scheme in the epileptic EEG signal classification.- Cross-correlation aided logistic regression model for the identification of motor imagery EEG signals in BCI applications.- Modified CC-LR Algorithm for identification of MI based EEG signals.- Improving prospective performance in the MI recognition: LS-SVM with tuning hyper parameters.- Comparative study: Motor area EEG and All-channels EEG.- Optimum allocation aided Naive Bayes based learning process for the detection of MI tasks.- Summary discussions on the methods, future directions and conclusions.

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