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On fusion of heart and brain signals for hybrid BCI

Shahid, Shahjahan, Prasad, G and Sinha, R. K. (2011) On fusion of heart and brain signals for hybrid BCI. In: 5th Int. IEEE EMBS Conference on Neural Engineering, Cancun, Mexico. IEEE. 5 pp. [Conference contribution]

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Abstract

This paper investigates the fusion of ECG with EEG in devising a hybrid brain-computer interface (hBCI). Effortful motor imagery (MI) based BCI experiments were arranged with a twelve seconds of cue-based MI paradigm on six healthy individuals over two sessions of 160 trials, while ECG and EEG signals were simultaneously recorded. The proposed hBCI uses bispectrum based features from EEG and ECG along with an LDA classifier. The off-line analysis shows an improvement in MI task detection accuracy if both ECG and EEG features are considered together. In addition, the time domain analysis of ECG signal shows that the average heart rate increases during MI state, which clearly shows that the cardiac system responds to MI related tasks.

Item Type:Conference contribution (Paper)
Faculties and Schools:Faculty of Computing & Engineering
Faculty of Computing & Engineering > School of Computing and Intelligent Systems
Research Institutes and Groups:Computer Science Research Institute > Intelligent Systems Research Centre
Computer Science Research Institute
ID Code:18464
Deposited By: Professor Girijesh Prasad
Deposited On:16 May 2011 10:59
Last Modified:09 Dec 2015 10:56

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