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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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Ngā kaituhi matua: Annika Guez, C. Sebastian Mancero Castillo, Balint Hodossy, Dario Farina, Ravi Vaidyanathan
Hōputu: Artigo
Reo:Inglês
I whakaputaina: IEEE 2025-01-01
Rangatū:IEEE Transactions on Neural Systems and Rehabilitation Engineering
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Urunga tuihono:https://ieeexplore.ieee.org/document/10907970/
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