The Extraction of Neural Information from the Surface EMG for the Control of Upper-Limb Prostheses: Emerging Avenues and Challenges
University of Göttingen · Bernstein Center for Computational Neuroscience Göttingen · +3 more institutions
Abstract
Despite not recording directly from neural cells, the surface electromyogram (EMG) signal contains information on the neural drive to muscles, i.e., the spike trains of motor neurons. Using this property, myoelectric control consists of the recording of EMG signals for extracting control signals to command external devices, such as hand prostheses. In commercial control systems, the intensity of muscle activity is extracted from the EMG and used for single degrees of freedom activation (direct control). Over the past 60 years, academic research has progressed to more sophisticated approaches but, surprisingly, none of these academic achievements has been implemented in commercial systems so far. We provide an…
Citation impact
- FWCI
- 34.23
- Percentile
- 100%
- References
- 108
Authors
7- DFDario FarinaCorresponding
University of Göttingen, Bernstein Center for Computational Neuroscience Göttingen
- NJNing Jiang
University of Göttingen, Bernstein Center for Computational Neuroscience Göttingen
- HRHubertus Rehbaum
University of Göttingen, Bernstein Center for Computational Neuroscience Göttingen
- AHAleš Holobar
University of Maribor
- BGBernhard Graimann
Bausch Health (Germany)
Topics & keywords
- Computer science
- Neuroprosthetics
- Robustness (evolution)
- Artificial neural network
- Control system
- Control (management)
- Spike (software development)
- Feed forward