TY - JOUR
T1 - Characterization of Postural Control in Post-Stroke Patients by Musculoskeletal Simulation
AU - Kaminishi, Kohei
AU - Li, Dongdong
AU - Chiba, Ryosuke
AU - Takakusaki, Kaoru
AU - Mukaino, Masahiko
AU - Ota, Jun
N1 - Publisher Copyright:
© Fuji Technology Press Ltd.
PY - 2022/12
Y1 - 2022/12
N2 - An association is observed between the standing sway posture and falls in patients with stroke; hence, it is important to study their standing balance. Although there are studies on the standing balance in stroke pa-tients, differences in control have not been adequately investigated. This study aims to propose a method to characterize the postural sway in standing stroke patients using a mathematical model. A musculoskele-tal model and neural controller model were used to simulate ten stroke patients (five patients with cerebral hemorrhages and five patients with cerebral in-farctions) and eight young healthy participants, and their data were monitored during quiet standing. The model parameters were adjusted by focusing on the maximum-minimum difference in sway, which was considered important in a previous study, and sway speed, which is frequently used in the analysis. The adjusted model parameters were subjected to dimension reduction using non-negative matrix factoriza-tion. Consequently, the sway characteristics of stroke patients were expressed as the magnitude of gain parameters related to the extension of the entire body. The results of this study demonstrated the possibility of representing the characteristics of postural sway as model parameters in stroke patients using a mathematical model. This characterization could lead to the design of individualized rehabilitation systems in the future.
AB - An association is observed between the standing sway posture and falls in patients with stroke; hence, it is important to study their standing balance. Although there are studies on the standing balance in stroke pa-tients, differences in control have not been adequately investigated. This study aims to propose a method to characterize the postural sway in standing stroke patients using a mathematical model. A musculoskele-tal model and neural controller model were used to simulate ten stroke patients (five patients with cerebral hemorrhages and five patients with cerebral in-farctions) and eight young healthy participants, and their data were monitored during quiet standing. The model parameters were adjusted by focusing on the maximum-minimum difference in sway, which was considered important in a previous study, and sway speed, which is frequently used in the analysis. The adjusted model parameters were subjected to dimension reduction using non-negative matrix factoriza-tion. Consequently, the sway characteristics of stroke patients were expressed as the magnitude of gain parameters related to the extension of the entire body. The results of this study demonstrated the possibility of representing the characteristics of postural sway as model parameters in stroke patients using a mathematical model. This characterization could lead to the design of individualized rehabilitation systems in the future.
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U2 - 10.20965/jrm.2022.p1451
DO - 10.20965/jrm.2022.p1451
M3 - Article
AN - SCOPUS:85144293125
SN - 0915-3942
VL - 34
SP - 1451
EP - 1462
JO - Journal of Robotics and Mechatronics
JF - Journal of Robotics and Mechatronics
IS - 6
ER -