Name
Abstract | ||
|---|---|---|
Motor Imagery (MI) based Brain Computer Inter-face (BCI) is a promising neurorehabilitation tool for treating motor impaired stroke survivors. It enables the MI electroencephalogram (EEG) signals to be converted/mapped into customized robotic and assisting commands. Even though stroke causes varying effects in the brain, the EEG signals have shown promises towards the MI classification of post-str... |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1109/BCI53720.2022.9734837 | 2022 10th International Winter Conference on Brain-Computer Interface (BCI) |
Keywords | DocType | ISSN |
Brain Computer Interface (BCI),Motor Imagery (MI),Stroke-Rehabilitation,Wavelet Packet Decomposition (WPD),Random Forest (RF) | Conference | 2572-7672 |
ISBN | Citations | PageRank |
978-1-6654-1337-4 | 0 | 0.34 |
References | Authors | |
0 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Alex Efstathios Voinas | 1 | 0 | 0.34 |
| Rig Das | 2 | 0 | 0.34 |
| Muhammad Ahmed Khan | 3 | 1 | 0.69 |
| Iris Brunner | 4 | 0 | 0.34 |
| Sadasivan Puthusserypady | 5 | 181 | 27.49 |