An improved eeg acquisition protocol facilitates localized neural activation

Panachakel, JT and Vinayak, NN and Nunna, M and Ramakrishnan, AG and Sharma, K (2020) An improved eeg acquisition protocol facilitates localized neural activation. In: International Conference on Communication Systems and Networks, 12- 13 December 2019, Thiruvananthapuram, pp. 267-281.

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Abstract

This work proposes improvements in the electroencephalogram (EEG) recording protocols for motor imagery through the introduction of actual motor movement and/or somatosensory cues. The results obtained demonstrate the advantage of requiring the subjects to perform motor actions following the trials of imagery. By introducing motor actions in the protocol, the subjects are able to perform actual motor planning, rather than just visualizing the motor movement, thus greatly improving the ease with which the motor movements can be imagined. This study also probes the added advantage of administering somatosensory cues in the subject, as opposed to the conventional auditory/visual cues. These changes in the protocol show promise in terms of the aptness of the spatial filters obtained by the data, on the application of the well-known common spatial pattern (CSP) algorithms. The regions highlighted by the spatial filters are more localized and consistent across the subjects when the protocol is augmented with somatosensory stimuli. Hence, we suggest that this may prove to be a better EEG acquisition protocol for detecting brain activation in response to intended motor commands in (clinically) paralyzed/locked-in patients. © Springer Nature Singapore Pte Ltd 2020.

Item Type:	Conference Paper
Publication:	Lecture Notes in Electrical Engineering
Publisher:	Springer
Additional Information:	Copyright for this Conference paper belongs to Springer
Keywords:	Beamforming; Chemical activation; Electroencephalography, Brain activation; Common spatial patterns; Eeg acquisitions; Electro-encephalogram (EEG); Motor movements; Motor planning; Neural activation; Spatial filters, Image enhancement
Department/Centre:	Division of Electrical Sciences > Electrical Engineering
Date Deposited:	10 Nov 2021 14:32
Last Modified:	10 Nov 2021 14:37
URI:	http://eprints.iisc.ac.in/id/eprint/65996

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