Data corpus for Hand movement detection from EEG data
|Ing. Pavel Mautner, Ph.D.
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The data corpus contains EEG data measured during a scenario that was focused on the movement of the upper limb wrist. The actual measurement scenario was divided into two phases - the rest phase, when the measured person did not perform any movement and the stimulation phase, in which the movement of the upper limb wrist (left and right) was performed or the measured person only imagined this movement. The data corpus is in the format used by Brain Products GmbH in its facilities. This corpus can be imported through a number of available plugins into a number of applications designed for processing EEG data (EEGLAB for the Matlab platform, or MNE written in Python). The data corpus was used in the article "Mochura, P. and Mautner, P. (2020). Classification of Hand Movement in EEG using ERD / ERS and Multilayer Perceptron.In Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 5: HEALTHINF, ISBN 978-989-758-398-8, pages 713-717. ". Software development and acquisition of a data corpus was supported by the project "SGS-2019-018 Processing of heterogeneous data and their specialized applications".