Design and Implementation of Multi-channel Active Electrode EEG Device: Performance analysis using Motor Imagery Brainwaves - Softcover

Name: Design and Implementation of Multi-channel Active Electrode EEG Device: Performance analysis using Motor Imagery Brainwaves
Author: Bista, Saroj; Adhikari, Nanda Bikram
ISBN: 9786139913367

Bista, Saroj ; Adhikari, Nanda Bikram

9786139913367: Design and Implementation of Multi-channel Active Electrode EEG Device: Performance analysis using Motor Imagery Brainwaves

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ISBN 10: 6139913365 ISBN 13: 9786139913367

Verlag: LAP LAMBERT Academic Publishing, 2018

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This book presents a cost-effective method to record brainwave signals using three channel active electrode EEG device and classify brainwaves related to motor imagery (MI) left and right-hand movement, based on electroencephalography (EEG) measured from the central lobe, that could be used for the Brain Computer Interface (BCI) systems. The book has explained about the use of Independent Component Analysis (ICA) for the removal of EEG artifacts, and then extract the brainwaves features for MI left hand and MI right-hand movement using Wavelet Decomposition (WD). The ‘Morlet’ mother wavelet is used for wavelet decomposition as it shows better performance for analysis of non-stationary biomedical signals like EEG. The brainwave features like Maximum Power among all decomposition level (MMP), the Frequency corresponding to MMP (MAF), and Maximum Amplitude of the signal with MAF (MMA) are chosen as the classification features for the classification of MI brainwaves. The classification of MI brainwave signals is done using Linear Discriminant Analysis (LDA).

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�ber die Autorin bzw. den Autor

I have completed B.E in Electronics & Communication from Nepal College of Information Technology (NCIT), Pokhara University in 2011 and I have completed MSc in Information & Communication Engineering from IOE, Pulchowk Campus, TU in 2017. I have been working as Lecturer since 2012 with NCIT.

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Verlag: LAP LAMBERT Academic Publishing
Erscheinungsdatum: 2018
Sprache: Englisch
ISBN 10: 6139913365
ISBN 13: 9786139913367
Einband: Taschenbuch
Anzahl der Seiten: 52
Kontakt zum Hersteller: Nicht verf�gbar
Verantwortliche Person: Alphascript Publishing
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Design and Implementation of Multi-channel Active Electrode EEG Device

Saroj Bista

Verlag: LAP LAMBERT Academic Publishing Sep 2018, 2018

ISBN 10: 6139913365 ISBN 13: 9786139913367

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Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book presents a cost-effective method to record brainwave signals using three channel active electrode EEG device and classify brainwaves related to motor imagery (MI) left and right-hand movement, based on electroencephalography (EEG) measured from the central lobe, that could be used for the Brain Computer Interface (BCI) systems. The book has explained about the use of Independent Component Analysis (ICA) for the removal of EEG artifacts, and then extract the brainwaves features for MI left hand and MI right-hand movement using Wavelet Decomposition (WD). The 'Morlet' mother wavelet is used for wavelet decomposition as it shows better performance for analysis of non-stationary biomedical signals like EEG. The brainwave features like Maximum Power among all decomposition level (MMP), the Frequency corresponding to MMP (MAF), and Maximum Amplitude of the signal with MAF (MMA) are chosen as the classification features for the classification of MI brainwaves. The classification of MI brainwave signals is done using Linear Discriminant Analysis (LDA). 52 pp. Englisch. Bestandsnummer des Verk�ufers 9786139913367

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Design and Implementation of Multi-channel Active Electrode EEG Device : Performance analysis using Motor Imagery Brainwaves

Saroj Bista

Verlag: LAP LAMBERT Academic Publishing, 2018

ISBN 10: 6139913365 ISBN 13: 9786139913367

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Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book presents a cost-effective method to record brainwave signals using three channel active electrode EEG device and classify brainwaves related to motor imagery (MI) left and right-hand movement, based on electroencephalography (EEG) measured from the central lobe, that could be used for the Brain Computer Interface (BCI) systems. The book has explained about the use of Independent Component Analysis (ICA) for the removal of EEG artifacts, and then extract the brainwaves features for MI left hand and MI right-hand movement using Wavelet Decomposition (WD). The 'Morlet' mother wavelet is used for wavelet decomposition as it shows better performance for analysis of non-stationary biomedical signals like EEG. The brainwave features like Maximum Power among all decomposition level (MMP), the Frequency corresponding to MMP (MAF), and Maximum Amplitude of the signal with MAF (MMA) are chosen as the classification features for the classification of MI brainwaves. The classification of MI brainwave signals is done using Linear Discriminant Analysis (LDA). Bestandsnummer des Verk�ufers 9786139913367

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Design and Implementation of Multi-channel Active Electrode EEG Device

Saroj Bista|Nanda Bikram Adhikari

Verlag: LAP LAMBERT Academic Publishing, 2018

ISBN 10: 6139913365 ISBN 13: 9786139913367

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Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Bista SarojI have completed B.E in Electronics & Communication from Nepal College of Information Technology (NCIT), Pokhara University in 2011 and I have completed MSc in Information & Communication Engineering from IOE, Pulchowk Cam. Bestandsnummer des Verk�ufers 385877035

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Design and Implementation of Multi-channel Active Electrode EEG Device: Performance analysis using Motor Imagery Brainwaves

Bista, Saroj/ Adhikari, Nanda Bikram

Verlag: LAP LAMBERT Academic Publishing, 2018

ISBN 10: 6139913365 ISBN 13: 9786139913367

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Paperback. Zustand: Brand New. 52 pages. 8.66x5.91x0.12 inches. In Stock. Bestandsnummer des Verk�ufers zk6139913365

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Design and Implementation of Multi-channel Active Electrode EEG Device

Saroj Bista

Verlag: LAP LAMBERT Academic Publishing Sep 2018, 2018

ISBN 10: 6139913365 ISBN 13: 9786139913367

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Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book presents a cost-effective method to record brainwave signals using three channel active electrode EEG device and classify brainwaves related to motor imagery (MI) left and right-hand movement, based on electroencephalography (EEG) measured from the central lobe, that could be used for the Brain Computer Interface (BCI) systems. The book has explained about the use of Independent Component Analysis (ICA) for the removal of EEG artifacts, and then extract the brainwaves features for MI left hand and MI right-hand movement using Wavelet Decomposition (WD). The 'Morlet' mother wavelet is used for wavelet decomposition as it shows better performance for analysis of non-stationary biomedical signals like EEG. The brainwave features like Maximum Power among all decomposition level (MMP), the Frequency corresponding to MMP (MAF), and Maximum Amplitude of the signal with MAF (MMA) are chosen as the classification features for the classification of MI brainwaves. The classification of MI brainwave signals is done using Linear Discriminant Analysis (LDA).VDM Verlag, Dudweiler Landstra�e 99, 66123 Saarbr�cken 52 pp. Englisch. Bestandsnummer des Verk�ufers 9786139913367

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