Publication Type:

Conference Paper

Source:

Proceedings of the Seventh International Conference on Advances in Computing, Communications and Informatics (ICACCI-2018), IEEE, Bangalore, Karnataka, India (2018)

URL:

https://ieeexplore.ieee.org/document/8554913

Keywords:

Electroencephalography, human motor execution, Signal analysis, squeeze task

Abstract:

Localization of neural activities from electroencephalography measurements and attributing a motor task to its neural signature is becoming a trend in neuroscience and brain computer interface research. For elucidating brain functions in healthy subjects and motor dysfunctions patients, a motor-related squeeze task, a simple daily task was employed in this study. Using low-cost electroencephalography devices in mapping human brain for understanding neural microcircuitry roles during a squeeze task as a biomarker for brain function was the objective. EEG data was recorded from eight healthy right-handed volunteers (4 female and 4 male) of different age group, performing squeeze task on a rubber ball applying graded forces. Using time and frequency domain analysis, we show frontal asymmetry attributed to activity from electrodes in AF3, AF4, F3, F4, F7 and F8 role-specific regions for identifying motor planning and motor execution characterized by predominant mu and beta oscillations.

Cite this Research Publication

Krishnan M, Edison L, Radhamani R., Nijin Nizar, Dhanush Kumar, Manjusha Nair, Dr. Bipin G. Nair, and Dr. Shyam Diwakar, “Experimental Recording and Computational Analysis of EEG signals for a Squeeze Task: Assessments and Impacts for Applications”, in Proceedings of the Seventh International Conference on Advances in Computing, Communications and Informatics (ICACCI-2018), Bangalore, Karnataka, India, 2018.