Abstract
Robotic manipulators can be controlled in an autonomous way with great precision and dexterity. At the same time they can be equipped with sensors capable of conveying highly precise information on the surroundings, many times superior to that of a human sensory system. However, our limited capacity of interfacing these robots with the human body makes current prosthetic systems to be perceived by the users as simple tools rather than limbs. After decades of developments, osseointegration, selective nerve transfers, and nerve electrodes for sensory feedback have all been clinically tested in humans and are opening a new gateway for implementation of novel control strategies. Here, an overview of the most promising myocontrol and myoelectric signal processing technics to pave the way to longer-term visions of true limb replacement are presented.
Original language | English |
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Title of host publication | Proceedings of the 4th International Conference on NeuroRehabilitation, ICNR 2018 |
Subtitle of host publication | Converging Clinical and Engineering Research on Neurorehabilitation III |
Editors | Lorenzo Masia, Silvestro Micera, Metin Akay, Jose L. Pons |
Publisher | SPRINGER |
Pages | 171-174 |
Number of pages | 4 |
ISBN (Electronic) | 978-3-030-01845-0 |
ISBN (Print) | 978-3-030-01844-3 |
DOIs | |
Publication status | Published - 1 Jan 2019 |
MoE publication type | A4 Article in a conference publication |
Event | International Conference on NeuroRehabilitation - Pisa, Italy Duration: 16 Oct 2018 → 20 Oct 2018 Conference number: 4 |
Publication series
Name | Biosystems and Biorobotics |
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Publisher | Springer |
Number | 21 |
ISSN (Print) | 2195-3562 |
ISSN (Electronic) | 2195-3570 |
Conference
Conference | International Conference on NeuroRehabilitation |
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Abbreviated title | ICNR |
Country/Territory | Italy |
City | Pisa |
Period | 16/10/2018 → 20/10/2018 |
Keywords
- post-stroke rehabilitation
- activity-dependent plasticity
- motor control task
- biofeedback in rehabilitation
- personalized musculoskeletal modeling