TY - GEN
T1 - Identification of Wrist Elastic Moment in Healthy Subjects for Control by Functional Electrical Stimulation
AU - Shimomura, Akinori
AU - Katsura, Seiichiro
N1 - Funding Information:
This work was partially supported by JSPS KAKENHI Grant Number 21H04566.
Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - This study is for a functional electrical stimulation. Functional electrical stimulation is a system that uses electrical stimulation to generate specific joint movements. If the nerve is alive, it is possible to promote muscle contraction from the outside by electrical stimulation. If arbitrary movements are generated, to build a control system is necessary for functional electrical stimulation. A model of muscle contraction is needed for control using functional electrical stimulation. It is assumed that the control accuracy will be improved by incorporating the necessary information into the model based on human physiology. In this study, the angle-dependent term in the reaction during muscle contraction is focused as one of the necessary information characteristics. As the angle changes, the muscle condition changes, resulting in responses such as stretch reflexes and repulsive forces. This is important information because if such a response is not taken into consideration, an error will occur between the model and the actual output. In the conventional research, the angle-dependent term was identified by focusing on the lower limbs, and the parameter fitting was realized by using the double exponential function. In this study, the knowledge of the previous study is applied to the upper limbs to build a model. Since the response is different between the upper limbs and the lower limbs, the movements are not always the same. Therefore, verification was performed. From the experimental results, the model based on the double exponential function was a model that took individual differences into consideration even in the upper limbs.
AB - This study is for a functional electrical stimulation. Functional electrical stimulation is a system that uses electrical stimulation to generate specific joint movements. If the nerve is alive, it is possible to promote muscle contraction from the outside by electrical stimulation. If arbitrary movements are generated, to build a control system is necessary for functional electrical stimulation. A model of muscle contraction is needed for control using functional electrical stimulation. It is assumed that the control accuracy will be improved by incorporating the necessary information into the model based on human physiology. In this study, the angle-dependent term in the reaction during muscle contraction is focused as one of the necessary information characteristics. As the angle changes, the muscle condition changes, resulting in responses such as stretch reflexes and repulsive forces. This is important information because if such a response is not taken into consideration, an error will occur between the model and the actual output. In the conventional research, the angle-dependent term was identified by focusing on the lower limbs, and the parameter fitting was realized by using the double exponential function. In this study, the knowledge of the previous study is applied to the upper limbs to build a model. Since the response is different between the upper limbs and the lower limbs, the movements are not always the same. Therefore, verification was performed. From the experimental results, the model based on the double exponential function was a model that took individual differences into consideration even in the upper limbs.
KW - elasticity
KW - functional electrical stimulation
KW - identification
KW - modeling
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U2 - 10.1109/HSI55341.2022.9869499
DO - 10.1109/HSI55341.2022.9869499
M3 - Conference contribution
AN - SCOPUS:85137886685
T3 - International Conference on Human System Interaction, HSI
BT - 15th IEEE International Conference on Human System Interaction, HSI 2022
PB - IEEE Computer Society
T2 - 15th IEEE International Conference on Human System Interaction, HSI 2022
Y2 - 28 July 2022 through 31 July 2022
ER -