Abstract
Individuals with hand amputation suffer substantial loss of independence. Performance of sophisticated prostheses is limited by the ability to control them. To achieve natural and simultaneous control of all wrist and hand motions, we propose to use real-time biomechanical simulation to map between residual EMG and motions of the intact hand. Here we describe a musculoskeletal model of the hand using only extrinsic muscles to determine whether real-time performance is possible. Simulation is 1.3 times faster than real time, but the model is locally unstable. Methods are discussed to increase stability and make this approach suitable for prosthesis control.
| Original language | English |
|---|---|
| Pages (from-to) | 540-549 |
| Number of pages | 10 |
| Journal | Computer Methods in Biomechanics and Biomedical Engineering |
| Volume | 20 |
| Issue number | 5 |
| Early online date | 20 Nov 2016 |
| DOIs | |
| Publication status | Published - Apr 2017 |
Bibliographical note
This work was supported by the National Institutes of Health [grant number R01-EB011615].Keywords
- Artificial Limbs
- Computer Simulation
- Electromyography/methods
- Hand/physiology
- Humans
- Models, Biological
- Motion
- Muscles/physiology
- Posture
- Prosthesis Design
- Prosthesis Implantation
- Sign Language
Fingerprint
Dive into the research topics of 'Real-time simulation of hand motion for prosthesis control'. Together they form a unique fingerprint.Profiles
-
Edward Chadwick
- Engineering, Engineering - Personal Chair
- School of Medicine, Medical Sciences & Nutrition, Aberdeen Biomedical Imaging Centre
Person: Academic