Muscle Tension Analysis in Stroke Patient Sit-to-Stand Motion by Joint Torque-Based Normalization

Ruoxi Wang, Qi An, Ningjia Yang, Hiroki Kogami, Kazunori Yoshida, Hiroyuki Hamada, S. Shimoda, Hiroshi Yamasaki, M. Sonoo, F. Alnajjar, Noriaki Hattori, Kouji Takahashi, Takanori Fujii, Hironori Otomune, Ichiro Miyai, Atsushi Yamashita, Hajime Asama

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

Patients with stroke exhibit distinct muscle activation features in sit-to-stand motion due to motor deficiency. Muscle activation amplitude is an important feature but has not been clarified due to the lack of a valid normalization method to enable intra-subject comparisons. This study, focusing on the paretic side, examines the change in muscle tension manifested in activation amplitude for a patient with stroke in serial measurements by a novel method based on joint torques. We constructed a musculoskeletal model, calculated joint torques by inverse dynamics, and solved muscle activation by forward dynamics simulation. Results showed that tibialis anterior, gastrocnemius, vastus lateralis, rectus abdominis, and erector spinae muscles on the paretic side showed significant improvement in generating maximum muscle tension after a rehabilitation training for 120 days.

Original languageEnglish
Title of host publicationBiosystems and Biorobotics
PublisherSpringer Science and Business Media Deutschland GmbH
Pages809-813
Number of pages5
DOIs
Publication statusPublished - 2022

Publication series

NameBiosystems and Biorobotics
Volume28
ISSN (Print)2195-3562
ISSN (Electronic)2195-3570

All Science Journal Classification (ASJC) codes

  • Biomedical Engineering
  • Mechanical Engineering
  • Artificial Intelligence

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