Characterization of Postural Control in Post-Stroke Patients by Musculoskeletal Simulation

Kohei Kaminishi, Dongdong Li, Ryosuke Chiba, Kaoru Takakusaki, Masahiko Mukaino, Jun Ota

Research output: Contribution to journalArticlepeer-review

Abstract

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.

Original languageEnglish
Pages (from-to)1451-1462
Number of pages12
JournalJournal of Robotics and Mechatronics
Volume34
Issue number6
DOIs
Publication statusPublished - 12-2022

All Science Journal Classification (ASJC) codes

  • Computer Science(all)
  • Electrical and Electronic Engineering

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