| Autor: |
Zakrzewski, Stanisław, Stasiak, Bartłomiej, Klepaczka, Tomasz, Wojciechowski, Adam |
| Předmět: |
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| Zdroj: |
Human Technology; Jun2022, Vol. 18 Issue 1, p29-44, 16p |
| Abstrakt: |
Virtual Reality (VR) combined with near real-time EEG signal processing can be used as a supplement to already existing rehabilitation techniques, enabling practitioners and therapists to immerse themselves into a virtual environment together with patients. The goal of this study is to propose a classification model along with all pre-processing and feature extraction steps, which would be able to produce satisfying results while maintaining near real-time performance. The proposed solutions are tested on an EEG signal dataset containing left/right-hand motor imagery movement experiments performed by 52 subjects. Performance of different models is measured using accuracy scores and execution time both in the testing and the training phase. In conclusion, one model is proposed as optimal given the requirements of potential patient rehabilitation procedures. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Supplemental Index |
| Externí odkaz: |
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