Correlating Data-Driven Muscle Selection Approaches to Synergies for Gait Prediction
Optimizing sensors for physiological input is critical to enhance performance as well as minimize the cost and complexity of assistive devices (e.g. lower-limb exoskeletons). Electromyography (EMG) data can trace muscle activation for gait kinematics prediction. However, identifying optimal muscle g...
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| Hlavní autoři: | , , , , |
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| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
IEEE
2025-01-01
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| Edice: | IEEE Transactions on Neural Systems and Rehabilitation Engineering |
| Témata: | |
| On-line přístup: | https://ieeexplore.ieee.org/document/10907970/ |
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