Abstract
Mind controlled bionic limbs promise to replace mechanical function of lost biological extremities and restore amputees’ motor capacity. State of the art approaches use machine learning for establishing a mapping function between electromyography (EMG) and joint kinematics. However, current approaches require frequent recalibration with lack of robustness, thus providing control paradigms that are sensitive to external conditions. This paper presents an alternative method based on the authors’ recent findings. That is, a biomimetic decoder comprising a computational model that explicitly synthesizes the dynamics of the musculoskeletal system as controlled by EMG-derived neural activation signals.
Original language | English |
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Title of host publication | Biosystems and Biorobotics |
Editors | Lorenzo Masia, Silvestro Micera, Metin Akay, Jose L. Pons |
Publisher | Springer |
Pages | 54-57 |
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 |
Event | 4th International Conference on NeuroRehabilitation, ICNR 2018: Converging Clinical and Engineering Research on Neurorehabilitation III - Pisa, Italy Duration: 16 Oct 2018 → 20 Oct 2018 Conference number: 4 http://www.icnr2018.org/ |
Publication series
Name | Biosystems and Biorobotics |
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Volume | 21 |
ISSN (Print) | 2195-3562 |
ISSN (Electronic) | 2195-3570 |
Conference
Conference | 4th International Conference on NeuroRehabilitation, ICNR 2018 |
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Abbreviated title | ICNR |
Country/Territory | Italy |
City | Pisa |
Period | 16/10/18 → 20/10/18 |
Internet address |