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Classification of Left/Right Hand Movement EEG Signals Using Event Related Potentials and Advanced Features

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6th International Conference on the Development of Biomedical Engineering in Vietnam (BME6) (BME 2017)

Part of the book series: IFMBE Proceedings ((IFMBE,volume 63))

Abstract

An event-related potentials (ERPs) is the measured brain response that is the direct result of a specific sensory, cognitive, or motor event. Brain-Computer Interface (BCI) is a device that enables the use of the brain’s neural activity to communicate with others or to control machines, artificial limbs, or robots without direct physical movements. In this paper, event-related potential (ERP) components of P300 and the advanced features combined an artificial neural network (ANN) were used to classify the electroencephalogram (EEG) signals associated with left and right hand movements. The EEG dataset used in this research was obtained from PhysioNet. Data was preprocessed using the EEGLAB MATLAB toolbox and then was epoched on the stimulation time for P300 and the basis of Event-Related (De) Synchronization (ERD/ERS) and movement-related cortical potentials (MRCP) features. Mu/beta rhythms were isolated for the ERD/ERS analysis and delta rhythms were isolated for the MRCP analysis. The final feature vector included the P300, ERD, ERS, and MRCP features in addition to the mean, power and energy of the activations of the epoched feature datasets. The datasets were inputted into ANN. The results of classification is quite good and it is promised to be used in a BCI context to mentally control a computer or machine.

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Acknowledgements

I want to thank developers of the BCI2000 [23] instrumentation system for data. I get in PhysioNet [24].

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Authors and Affiliations

  1. Ho Chi Minh City University of Technology, 268 Ly Thuong Kiet, Ho Chi Minh City, Vietnam

    Nguyen Thi Minh Huong, Huynh Quang Linh & Le Quoc Khai

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  1. Nguyen Thi Minh Huong
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  2. Huynh Quang Linh
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Correspondence to Nguyen Thi Minh Huong .

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Editors and Affiliations

  1. Biomedical Engineering Department, Vietnam National University, Ho Chi Minh , Ho Chi Minh City, Vietnam

    Toi Vo Van

  2. Department of Biomedical Engineering, Vietnam National University, Ho Chi Minh Department of Biomedical Engineering, Ho Chi Minh City, Vietnam

    Thanh An Nguyen Le

  3. Biomedical Engineering Department, Vietnam National University, Ho Chi Minh Biomedical Engineering Department, Ho Chi Minh City, Vietnam

    Thang Nguyen Duc

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Huong, N.T.M., Linh, H.Q., Khai, L.Q. (2018). Classification of Left/Right Hand Movement EEG Signals Using Event Related Potentials and Advanced Features. In: Vo Van, T., Nguyen Le, T., Nguyen Duc, T. (eds) 6th International Conference on the Development of Biomedical Engineering in Vietnam (BME6) . BME 2017. IFMBE Proceedings, vol 63. Springer, Singapore. https://doi.org/10.1007/978-981-10-4361-1_35

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  • DOI: https://doi.org/10.1007/978-981-10-4361-1_35

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  • Publisher Name: Springer, Singapore

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  • Online ISBN: 978-981-10-4361-1

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