Motion anomaly detection based on lower limb alignment evaluation during motion

2018 Fiscal Year Final Research Report

• Project/Area Number: 16K06204
• Research Category: Grant-in-Aid for Scientific Research (C)
• Allocation Type: Multi-year Fund
• Section: 一般
• Research Field: Intelligent mechanics/Mechanical systems
• Research Institution: Hakodate National College of Technology
• Principal Investigator: KAWAKAMI Kensaku 函館工業高等専門学校, 生産システム工学科, 准教授 (70353216)
• Research Collaborator: OKOSHI Yasumitsu
• Project Period (FY): 2016-04-01 – 2019-03-31
• Keywords: 下肢機能軸 / 動作解析 / バイオメカニクス / 膝関節アライメント

Outline of Final Research Achievements

In this study, we established a motion analysis method to evaluate the dynamic change of lower limb alignment and lower limb functional axis during walking motion, and aimed at examining abnormal gait using that method.
Analysis of healthy subjects and knee OA patients revealed that knee joint alignment can be evaluated by the lower limb functional axis analysis of this study, and it was possible to actually detect abnormal movement of knee joint disease patients. Moreover, in order to visualize the knee alignment evaluation by this lower extremity functional axis, it became possible to create drawing software using OpenGL and to visually compare and evaluate the positional relationship alignment which was hard to understand.

Free Research Field

工学

Academic Significance and Societal Importance of the Research Achievements

本研究において提案した方法により下肢機能軸評価で膝疾患による異常動作が確認できたことにから、医師や理学療法士が観察によって主観的に診断していた動作異常を誰でも客観的かつ定量的に評価できると考えられる。そのことにより、診断やリハビリテーション、予防などに極めて有効な知見が、容易に入手できる。さらに、その結果を視覚的に評価できることにより、整形外科の臨床だけでなく、スポーツ分野における傷害予防や訓練、およびその評価にも活用できる方法であると考える。