Abstract
This work presents the proposal of a complete system for upper- and lower-limb rehabilitation for post-stroke patients using a Brain-Computer Interface (BCI) based on Motor Imagery (MI), cerebrospinal Direct Current Stimulation (csDCS), a robotic glove, and a robotic monocycle. Common Spatial Pattern (CSP), Filter-Bank CSP (FBCSP) and Riemannian Geometry (RG) were used as feature for a classifier (Linear Discriminant Analysis – LDA) for MI recognition. Experiments were conducted with two post-stroke patients, which conducted 3-week sessions, improving their lower-limb movements. An evaluation of their upper-limb progress is being conducted right now.
| Original language | English |
|---|---|
| Title of host publication | Biosystems and Biorobotics |
| Publisher | Springer Science and Business Media Deutschland GmbH |
| Pages | 689-692 |
| Number of pages | 4 |
| DOIs | |
| State | Published - 2024 |
Publication series
| Name | Biosystems and Biorobotics |
|---|---|
| Volume | 32 |
| ISSN (Print) | 2195-3562 |
| ISSN (Electronic) | 2195-3570 |
Bibliographical note
Publisher Copyright:© The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.
CACES Knowledge Areas
- 519A Therapy and Rehabilitation
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