TY - GEN
T1 - Adaptive Hybrid FES-Force Controller for Arm Exosuit
AU - Burchielli, Davide
AU - Lotti, Nicola
AU - Missiroli, Francesco
AU - Bokranz, Casimir
AU - Pedrocchi, Alessandra
AU - Ambrosini, Emilia
AU - Masia, Lorenzo
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - Patients suffering from neuromuscular diseases experience motor disabilities which hinder their independence during activities of daily living (ADLs). For such impaired subjects, robotic devices and Functional Electrical Stimulation (FES) are technologies commonly used to rehabilitate lost functions. Nevertheless, both systems present some limitations, and merging FES and robots in Hybrid Robotic Rehabilitation Systems allows to overcome these boundaries. Here we propose for the first time a hybrid cooperative controller involving FES and a soft wearable upper arm exosuit to rehabilitate elbow movements. We tested the designed hybrid controller on six healthy participants. The results showed how the proposed hybrid controller allowed the wearers to perform flexion movements with no significant decrease in accuracy and precision with respect to the exosuit alone, while significantly decreasing the fatigue level by about 63% and delaying its onset with respect to the FES action alone.
AB - Patients suffering from neuromuscular diseases experience motor disabilities which hinder their independence during activities of daily living (ADLs). For such impaired subjects, robotic devices and Functional Electrical Stimulation (FES) are technologies commonly used to rehabilitate lost functions. Nevertheless, both systems present some limitations, and merging FES and robots in Hybrid Robotic Rehabilitation Systems allows to overcome these boundaries. Here we propose for the first time a hybrid cooperative controller involving FES and a soft wearable upper arm exosuit to rehabilitate elbow movements. We tested the designed hybrid controller on six healthy participants. The results showed how the proposed hybrid controller allowed the wearers to perform flexion movements with no significant decrease in accuracy and precision with respect to the exosuit alone, while significantly decreasing the fatigue level by about 63% and delaying its onset with respect to the FES action alone.
UR - http://www.scopus.com/inward/record.url?scp=85138902026&partnerID=8YFLogxK
U2 - 10.1109/ICORR55369.2022.9896493
DO - 10.1109/ICORR55369.2022.9896493
M3 - Conference contribution
C2 - 36176151
AN - SCOPUS:85138902026
T3 - IEEE International Conference on Rehabilitation Robotics
BT - 2022 International Conference on Rehabilitation Robotics, ICORR 2022
PB - IEEE Computer Society
T2 - 2022 International Conference on Rehabilitation Robotics, ICORR 2022
Y2 - 25 July 2022 through 29 July 2022
ER -