Modular Neural Mechanisms for Gait Phase Tracking, Prediction, and Selection in Personalizable Knee-Ankle-Foot-Orthoses
Author:
Funder
Bundesministerium für Bildung und Forschung
Publisher
Frontiers Media SA
Subject
Artificial Intelligence,Biomedical Engineering
Reference33 articles.
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5. Review of secondary physical conditions associated with lower-limb amputation and long-term prosthesis use;Gailey;J. Rehabil. Res. Dev.,2008
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1. Identification of design requirements for Stance Control Knee-Ankle-Foot orthosis without actuator using the QFD method;Sādhanā;2022-11-02
2. Sensor Number Optimization Using Neural Network for Ankle Foot Orthosis Equipped with Magnetorheological Brake;Open Engineering;2020-11-19
3. A Review on the Control of the Mechanical Properties of Ankle Foot Orthosis for Gait Assistance;Actuators;2019-01-28
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