Abstract
The twelve papers in this special section is focused on ecent scientific and engineering developments in control of upper-limb prostheses, ranging from novel signal processing and machine learning strategies for enhancing and extracting movement intention-related features from the inter-muscular and surface electromyogram (EMG) signals to advanced surgical and experimental procedures for targeted muscle and sensory re-innervation.
Original language | English (US) |
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Article number | 6848877 |
Pages (from-to) | 711-715 |
Number of pages | 5 |
Journal | IEEE Transactions on Neural Systems and Rehabilitation Engineering |
Volume | 22 |
Issue number | 4 |
DOIs | |
State | Published - Jul 2014 |
ASJC Scopus subject areas
- Rehabilitation
- General Neuroscience
- Internal Medicine
- Biomedical Engineering