Activities of daily living with bionic arm improved by combination training and latching filter in prosthesis control comparison
Abstract
Advanced prostheses can restore function and improve quality of life for individuals with amputations. Unfortunately, most commercial control strategies do not fully utilize the rich control information from residual nerves and musculature. Continuous decoders can provide more intuitive prosthesis control using multi-channel neural or electromyographic recordings. Three components influence continuous decoder performance: the data used to train the algorithm, the algorithm, and smoothing filters on the algorithm’s output. Individual groups often focus on a single decoder, so very few studies compare different decoders using otherwise similar experimental conditions.
Document Details
- Document Type
- Pub Defense Publication
- Publication Date
- Feb 25, 2021
- Source ID
- 10.1186/s12984-021-00839-x
Entities
People
- Christopher C Duncan
- Gregory A. Clark
- Jacob A George
- Mark R. Brinton
- Michael D. Paskett
- Taylor C. Hansen
- Tyler S Davis
Organizations
- Defense Advanced Research Projects Agency
- National Center for Advancing Translational Sciences