Abstract
In the past few decades, research has demonstrated that brain-computer interface (BCI) based neurorehabilitation for stroke survivors can enhance the re-learning of lost motor functionality better than traditional physiotherapy involving professional physiother- apists. Though BCI-aided systems have several advantages over traditional rehabilitation methods, one of the major shortcomings of such intervention is its inability to recognize the relevant motor activity of the brain when the user gets mentally fatigued, which eventually causes the deterioration of the BCI performance. In this paper, a preliminary EEG study on stroke survivors has been reported on how mental fatigue can potentially hinder the enhancement of motor re-learning and elongate the rehab process. From the study, it has been inferred that objective measurement of mental fatigue is essential to pre- vent any subjective bias, and the rehabilitation paradigm should be adaptive to the participants’ mental status to optimize the rehab outcomes.
Original language | English |
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Title of host publication | Proceedings of the 9th Graz Brain-Computer Interface Conference 2024 |
Editors | Gernot Müller-Putz, Kyriaki Kostoglou, Markus E. Oberndorfer, Selina C. Wriessnegger |
Publisher | TU Graz |
Pages | 295-300 |
Number of pages | 6 |
ISBN (Electronic) | 978-3-99161-014-4 |
ISBN (Print) | 978-3-99161-014-4 |
DOIs | |
Publication status | Published online - 11 Sept 2024 |
Event | 9th Graz Brain-Computer Interface Conference 2024 - TU Graz, Graz, Austria Duration: 9 Sept 2024 → 12 Sept 2024 https://www.tugraz.at/institute/ine/graz-bci-conferences/9th-graz-bci-conference-2024 |
Conference
Conference | 9th Graz Brain-Computer Interface Conference 2024 |
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Abbreviated title | GBCIC 2024 |
Country/Territory | Austria |
City | Graz |
Period | 9/09/24 → 12/09/24 |
Internet address |
Data Access Statement
No data access availableKeywords
- EEG
- Neurorehabilitation
- stroke rehabilitation
- Brain Computer Interface
- Machine Learning
- ERD/ERS
- Bandpower
- mental fatigue
- motor imagery, electroencephalography (EEG)
- Neuroplasticity