Multiple Sensor-Based Predictive Algorithm for Musculoskeletal Diseases

2022 Fiscal Year Final Research Report

• Project/Area Number: 18K17733
• Research Category: Grant-in-Aid for Early-Career Scientists
• Allocation Type: Multi-year Fund
• Review Section: Basic Section 59010:Rehabilitation science-related
• Research Institution: Nagoya University (2022); Keio University (2018-2019)
• Principal Investigator: Iijima Hirotaka 名古屋大学, 高等研究院(保健), 特任助教 (20816631)
• Project Period (FY): 2021-11-01 – 2023-03-31
• Keywords: 変形性膝関節症 / Laser-TUG / 機能的移動能力

Outline of Final Research Achievements

The objective of this project was to characterize the functional mobility of patients with knee osteoarthritis using a quantitative TUG measurement system (Laser-TUG) that synchronizes a pressure sensor with a Laser Range Sensor. The Laser-TUG system has revealed new features of functional mobility limitation associated with knee osteoarthritis, such as the delayed walking initiation depending on knee pain severity and delayed turning movement. Laser-TUG is a noninvasive and simple evaluation system that is expected to contribute to a wide range of fields, such as assisting diagnosis and determining the effectiveness of rehabilitation in the medical field.

Free Research Field

リハビリテーション医学

Academic Significance and Societal Importance of the Research Achievements

Laser-TUGシステムによって、変形性膝関節症に伴う機能的移動制限の新しい側面を明らかにした。本システムは非侵襲かつ簡便な評価システムであり、医療現場における診断補助やリハビリテーションの効果判定などの幅広い分野への貢献が今後期待される。