EMG-Based Volitional Torque Estimation in Functional Electrical Stimulation Control

Functiona1 electrical stimulation (FES) applies electrical pulses to muscle fibers through the skin for assisting functional movements in patients with motor disability. Muscle activity feedback such as volitional Electromyography (vEMG) can optimize the performance of the FES system in both rehabil...

Full description

Saved in:
Bibliographic Details
Published in2022 IEEE-EMBS Conference on Biomedical Engineering and Sciences (IECBES) pp. 171 - 176
Main Authors Kavianirad, Hossein, Endo, Satoshi, Keller, Thierry, Hirche, Sandra
Format Conference Proceeding
LanguageEnglish
Published IEEE 07.12.2022
Subjects
Adaptive filters
closed-loop control
Electromyography
EMG
Estimation
FES
human-in-the-loop
human-machine interaction
Iron
Muscles
Nonlinear filters
rehabilitation
Torque
Online AccessGet full text
DOI10.1109/IECBES54088.2022.10079376

Cover

More Information
Summary:Functiona1 electrical stimulation (FES) applies electrical pulses to muscle fibers through the skin for assisting functional movements in patients with motor disability. Muscle activity feedback such as volitional Electromyography (vEMG) can optimize the performance of the FES system in both rehabilitation or activity of daily living (ADL), however, artifacts caused by simultaneous use of FES and EMG on the same muscles contaminate the EMG signal. This paper, using an adaptive filter, aims to investigate the estimation of the volitional torque from filtered vEMG. Based on this estimation, the usability and performance of the adaptive filter for estimating volitional torque are studied on 5 healthy participants and we show that this filter can be used for volitional torque estimation. In the next step, it is shown how this map can be used in closed-loop FES control for estimating volitional torque.
DOI:10.1109/IECBES54088.2022.10079376