Online Adaptive Filters to Classify Left and Right Hand Motor Imagery

Kais Belwafi, Ridha Djemal, Fakhreddine Ghaffari, Olivier Romain, Bouraoui Ouni, Sofien Gannouni

Abstract

Sensorimotor rhythms (SMRs) caused by motor imagery are key issues for subject with severe disabilities when controlling home devices. However, the development of such EEG-based control system requires a great effort to reach a high accuracy in real-time. Furthermore, BCIs have to confront with inter-individual variability, imposing to the parameters of the methods to be adapted to each subjects. In this paper, we propose a novel EEG-based solution to classify right and left hands(RH and LH) thoughts. Our approach integrates adaptive filtering techniques customized for each subject during the training phase to increase the accuracy of the proposed system. The validation of the proposed architecture is conducted using existing data sets provided by BCI-competition and then using our own on-line validation platform experienced with four subjects. Common Spatial Pattern (CSP) is used for feature extraction to extract features vector from µ and β bands. These features are classified by the Linear Discriminant Analysis (LDA) algorithm. Our prototype integrates the Open-BCI acquisition system with 8 channels connected to Matlab environment in which we integrated all EEG signal processing including the adaptive filtering. The proposed system achieves 80.5% of classification accuracy, which makes approach a promising method to control an external devices based on the thought of LH and RH movement.

References

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Paper Citation


in Harvard Style

Belwafi K., Djemal R., Ghaffari F., Romain O., Ouni B. and Gannouni S. (2016). Online Adaptive Filters to Classify Left and Right Hand Motor Imagery . In Proceedings of the 9th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 4: Smart-BIODEV, (BIOSTEC 2016) ISBN 978-989-758-170-0, pages 335-339. DOI: 10.5220/0005846503350339


in Bibtex Style

@conference{smart-biodev16,
author={Kais Belwafi and Ridha Djemal and Fakhreddine Ghaffari and Olivier Romain and Bouraoui Ouni and Sofien Gannouni},
title={Online Adaptive Filters to Classify Left and Right Hand Motor Imagery},
booktitle={Proceedings of the 9th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 4: Smart-BIODEV, (BIOSTEC 2016)},
year={2016},
pages={335-339},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005846503350339},
isbn={978-989-758-170-0},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 9th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 4: Smart-BIODEV, (BIOSTEC 2016)
TI - Online Adaptive Filters to Classify Left and Right Hand Motor Imagery
SN - 978-989-758-170-0
AU - Belwafi K.
AU - Djemal R.
AU - Ghaffari F.
AU - Romain O.
AU - Ouni B.
AU - Gannouni S.
PY - 2016
SP - 335
EP - 339
DO - 10.5220/0005846503350339