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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Bibliographic Details
Published in:	IEEE transactions on neural systems and rehabilitation engineering Vol. 33; pp. 945 - 955
Main Authors:	Guez, Annika, Sebastian Mancero Castillo, C., Hodossy, Balint, Farina, Dario, Vaidyanathan, Ravi
Format:	Journal Article
Language:	English
Published:	United States IEEE 2025
Subjects:	Accuracy Adult Algorithms Biomechanical Phenomena channel selection Electrodes Electromyography Electromyography (EMG) Electromyography - methods Feature extraction Female Gait - physiology Humans Knee Knee Joint - physiology Legged locomotion Male multi-layer perceptron Muscle, Skeletal - physiology Muscles Physiology Principal Component Analysis recursive feature elimination Reproducibility of Results Sensors Young Adult
ISSN:	1534-4320, 1558-0210, 1558-0210
Online Access:	Get full text
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