A Robust Beamforming Approach for Early Detection of Readiness Potential With Application to Brain-Computer Interface Systems

A Robust Beamforming Approach for Early Detection of Readiness Potential With Application to Brain-Computer Interface Systems Publisher Pubmed

Mahmoodi M^{1, 2} ; Abadi BM^{1, 2} ; Khajepur H^{1, 2} ; Harirchian MH³

Show Affiliations

1. Department of Medical Physics and Biomedical Engineering, School of Medicine, Tehran University of Medical Sciences (TUMS), Tehran, Iran
2. Research Center for Biomedical Technology and Robotics (RCBTR), Institute of Advanced Medical Technologies (IAMT), Tehran University of Medical Sciences (TUMS), Tehran, Iran
3. Iranian Center of Neurological Research, Tehran University of Medical Sciences (TUMS), Tehran, Iran

Source: Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society# EMBS Published:2017

Abstract

Early detection of intention to move, at self-paced voluntary movements from the activities of neural current sources on the motor cortex, can be an effective approach to brain-computer interface (BCI) systems. Achieving high sensitivity and pre-movement negative latency are important issues for increasing the speed of BCI and other rehabilitation and neurofeedback systems used by disabled and stroke patients and helps enhance their movement abilities. Therefore, developing high-performance extractors or beamformers is a necessary task in this regard. © 2017 IEEE.

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Style	Citing Format
MLA	Mahmoodi M, et al.. "A Robust Beamforming Approach for Early Detection of Readiness Potential With Application to Brain-Computer Interface Systems." Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society# EMBS, vol. , no. , 2017, pp. 2980-2983.
APA	Mahmoodi M, Abadi BM, Khajepur H, Harirchian MH (2017). A Robust Beamforming Approach for Early Detection of Readiness Potential With Application to Brain-Computer Interface Systems. Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society# EMBS, (), 2980-2983.
Chicago	Mahmoodi M, Abadi BM, Khajepur H, Harirchian MH. "A Robust Beamforming Approach for Early Detection of Readiness Potential With Application to Brain-Computer Interface Systems." Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society# EMBS , no. (2017): 2980-2983.
Harvard	Mahmoodi M et al. (2017) 'A Robust Beamforming Approach for Early Detection of Readiness Potential With Application to Brain-Computer Interface Systems', Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society# EMBS, (), pp. 2980-2983.
Vancouver	Mahmoodi M, Abadi BM, Khajepur H, Harirchian MH. A Robust Beamforming Approach for Early Detection of Readiness Potential With Application to Brain-Computer Interface Systems. Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society# EMBS. 2017;():2980-2983.
BibTex	@article{ author = {Mahmoodi M and Abadi BM and Khajepur H and Harirchian MH}, title = {A Robust Beamforming Approach for Early Detection of Readiness Potential With Application to Brain-Computer Interface Systems}, journal = {Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society# EMBS}, volume = {}, number = {}, pages = {2980-2983}, year = {2017} }
RIS	TY - JOUR AU - Mahmoodi M AU - Abadi BM AU - Khajepur H AU - Harirchian MH TI - A Robust Beamforming Approach for Early Detection of Readiness Potential With Application to Brain-Computer Interface Systems JO - Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society# EMBS VL - IS - SP - 2980 EP - 2983 PY - 2017 ER -

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