TY - GEN
T1 - EMG-Based Volitional Torque Estimation in Functional Electrical Stimulation Control
AU - Kavianirad, Hossein
AU - Endo, Satoshi
AU - Keller, Thierry
AU - Hirche, Sandra
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - 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.
AB - 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.
KW - EMG
KW - FES
KW - closed-loop control
KW - human-in-the-loop
KW - human-machine interaction
KW - rehabilitation
UR - http://www.scopus.com/inward/record.url?scp=85152460070&partnerID=8YFLogxK
U2 - 10.1109/IECBES54088.2022.10079376
DO - 10.1109/IECBES54088.2022.10079376
M3 - Conference contribution
AN - SCOPUS:85152460070
T3 - 7th IEEE-EMBS Conference on Biomedical Engineering and Sciences, IECBES 2022 - Proceedings
SP - 171
EP - 176
BT - 7th IEEE-EMBS Conference on Biomedical Engineering and Sciences, IECBES 2022 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 7th IEEE-EMBS Conference on Biomedical Engineering and Sciences, IECBES 2022 - Proceedings
Y2 - 7 December 2022 through 9 December 2022
ER -