EEG signal complexity measurements to enhance BCI-based stroke patients' rehabilitation
The second leading cause of death and one of the most common causes of disability in the world is stroke. Researchers have found that brain–computer interface (BCI) techniques can result in better stroke patient rehabilitation. This study used the proposed motor imagery (MI) framework to analyze the...
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Multidisciplinary Digital Publishing Institute
2023
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| Online Access: | http://psasir.upm.edu.my/id/eprint/107446/1/EEG%20Signal%20Complexity%20Measurements%20to%20Enhance%20BCI-Based%20Stroke%20Patients%E2%80%99%20Rehabilitation.pdf |