Cargando…
Determining grasp selection from arm trajectories via deep learning to enable functional hand movement in tetraplegia
BACKGROUND: Cervical spinal cord injury severely affects grasping ability of its survivors. Fortunately, many individuals with tetraplegia retain residual arm movements that allow them to reach for objects. We propose a wearable technology that utilizes arm movement trajectory information and deep l...
| Autores principales: | , , , , |
|---|---|
| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2020
|
| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7449026/ https://www.ncbi.nlm.nih.gov/pubmed/32864392 http://dx.doi.org/10.1186/s42234-020-00053-5 |