A myoelectric digital twin for fast and realistic modelling in deep learning
Muscle electrophysiology is a promising tool for human-machine approaches in medicine and beyond clinical applications. The authors propose here a model simulating electric signals produced during human movements and apply this data for training of deep learning algorithms.
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2023-03-01
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| Series: | Nature Communications |
| Online Access: | https://doi.org/10.1038/s41467-023-37238-w |