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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Principais autores:	Annika Guez, C. Sebastian Mancero Castillo, Balint Hodossy, Dario Farina, Ravi Vaidyanathan
פורמט:	Artigo
שפה:	Inglês
יצא לאור:	IEEE 2025-01-01
סדרה:	IEEE Transactions on Neural Systems and Rehabilitation Engineering
נושאים:	Electromyography (EMG) channel selection recursive feature elimination multi-layer perceptron principal component analysis
גישה מקוונת:	https://ieeexplore.ieee.org/document/10907970/
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