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A magnetoencephalography dataset for motor and cognitive imagery-based brain–computer interface

Raza, Haider and Rathee, Dheeraj and Roy, Sujit and Prasad, Girijesh (2021) 'A magnetoencephalography dataset for motor and cognitive imagery-based brain–computer interface.' Scientific Data, 8. ISSN 2052-4463

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Abstract

However, the performance of current MEG-BCI systems is still inadequate and one of the main reasons for this is the unavailability of open-source MEG-BCI datasets. MEG systems are expensive and hence MEG datasets are not readily available for researchers to develop effective and efficient BCI-related signal processing algorithms. In this work, we release a 306-channel MEG-BCI data recorded at 1KHz sampling frequency during four mental imagery tasks (i.e. hand imagery, feet imagery, subtraction imagery, and word generation imagery). The dataset contains two sessions of MEG recordings performed on separate days from 17 healthy participants using a typical BCI imagery paradigm. The current dataset will be the only publicly available MEG imagery BCI dataset as per our knowledge. The dataset can be used by the scientific community towards the development of a novel pattern recognition machine

Item Type: Article
Uncontrolled Keywords: Biomedical engineering, Brain imaging
Divisions: Faculty of Science and Health > Computer Science and Electronic Engineering, School of
Depositing User: Elements
Date Deposited: 19 May 2021 17:16
Last Modified: 19 May 2021 18:15
URI: http://repository.essex.ac.uk/id/eprint/30084

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