Brain-Machine Interfaces: Lessons for Prosthetic Hand Control.
review · Level V
Where this comes from
- Record sourced from PubMed, PMID 34253312.
- Also identified by DOI 10.1016/j.hcl.2021.04.003.
- No licence information is recorded for this record.
- Because redistribution is not established, this page shows the abstract only. Follow the links below for the full text.
Abstract
Brain-machine interfaces (BMI) are being developed to restore upper limb function for persons with spinal cord injury or other motor degenerative conditions. BMI and implantable sensors for myoelectric prostheses directly extract information from the central or peripheral nervous system to provide users with high fidelity control of their prosthetic device. Control algorithms have been highly transferable between the 2 technologies but also face common issues. In this review of the current state of the art in each field, the authors point out similarities and differences between the 2 technologies that may guide the implementation of common solutions to these challenges.
Medical subject headings
- Artificial Limbs
- Brain-Computer Interfaces
- Spinal Cord Injuries
Anatomy
- hand