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Robotic Brace Based Multi-Dimensional Assessment for Trunk Ability: A Preliminary Study in Patients with Spinal Cord Injury

  • Beijing Engineering Research Center of Intelligent Rehabilitation Engineering
  • Peking University
  • Beijing Institute for General Artificial Intelligence (BIGAI)

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Evaluating trunk control ability is significant in guiding patients towards proper functional training. Most existing devices have only a singular assessment function, resulting in prolonged and asynchronous assessments. Devices with multi-dimensional assessment capabilities may address these limitations. This study utilizes a robotic brace, RoboBDsys-II, to assess the trunk ability of individuals with spinal disorders and to validate its effectiveness. The device can simultaneously collect kinematic, kinetic, and center of pressure data, reducing the assessment time and enabling the simultaneous assessment. The force platform is designed to measure the center of pressure and the force control of the parallel module is developed for the coronal movement assessment. Four patients with spinal cord injury participated in the study to assess their trunk range of motion and muscle strength. Results demonstrate that the trunk range of motion determines the center of pressure metrics in lateral bending experiments. Furthermore, RoboBDsys-II exhibits excellent test-retest reliability in lateral bending experiments and can reveal the muscle strength differences in different directions. The system has potential advantage in the trunk ability assessment.

Original languageEnglish
Title of host publication2023 International Conference on Rehabilitation Robotics, ICORR 2023
PublisherIEEE Computer Society
ISBN (Electronic)9798350342758
DOIs
StatePublished - 2023
Event2023 International Conference on Rehabilitation Robotics, ICORR 2023 - Singapore, Singapore
Duration: 24 Sep 202328 Sep 2023

Publication series

NameIEEE International Conference on Rehabilitation Robotics
ISSN (Print)1945-7898
ISSN (Electronic)1945-7901

Conference

Conference2023 International Conference on Rehabilitation Robotics, ICORR 2023
Country/TerritorySingapore
CitySingapore
Period24/09/2328/09/23

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