Ankle Joint Torque Prediction Based on Surface Electromyographic and Angular Velocity Signals

Ankle Joint Torque Prediction Based on Surface Electromyographic and Angular Velocity Signals

Joint torque prediction plays an important role in quantitative limb rehabilitation assessment and exoskeleton robot, and it is essential to acquire feedback or feedforward signal for adaptive functional electrical stimulation (FES) control. The Surface electromyography (sEMG) signal is one of the b...

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Bibliographic Details
Main Authors: Chanjuan Su, Shurong Chen, Haiyan Jiang, Yan Chen
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Joint force
angular velocity Signals
artificial neural network
surface electromyography (sEMG)
Online Access:https://ieeexplore.ieee.org/document/9272292/

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