Evaluating upper limb functions based on motion analysis

DOI

Bibliographic Information

Other Title
  • 動作推定を用いた上肢機能評価モデル作成の試み

Abstract

<p>Conventional evaluation indices for upper limb function rehabilitation are based on the time to complete a task and the duration of movement. However, these metrics are insufficient to quanti-fy motor performance attributes, such as smooth-ness of movement and presence of compensatory movements. This study aims to introduce a quan-titative index for the evaluation of upper limb functions based on rehabilitation exercises per-formed by patients. For our initial evaluation, we chose the Grasp movement performed in ARAT (Action Research Arm Test), a conventional eval-uation method for upper limb functions in pa-tients with post-stroke syndrome. We use RGB videos of therapist imitating a patient with poste-rior syndrome. Machine learning techniques were employed to estimate posture and extract skeletal information, using time-series analysis, an eval-uation model was created to quantify the com-pensatory movements of post-stroke syndrome and healthy patients.</p>

Journal

Details 詳細情報について

  • CRID
    1390571240018167936
  • NII Article ID
    130008105612
  • DOI
    10.11239/jsmbe.annual59.805
  • ISSN
    18814379
    1347443X
  • Text Lang
    ja
  • Data Source
    • JaLC
    • CiNii Articles
  • Abstract License Flag
    Disallowed

Report a problem

Back to top