Elucidation of pre-onset signs of low back pain by dynamic load measurement and analysis using static pessure sensing IoT insole

2023 Fiscal Year Final Research Report

• Project/Area Number: 21K17454
• 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
• Principal Investigator: Saeki Masaomi 名古屋大学, 医学部附属病院, 特任助教 (40822292)
• Project Period (FY): 2021-04-01 – 2024-03-31
• Keywords: 歩行解析 / 足底圧 / インソール / モーションキャプチャ

Outline of Final Research Achievements

Data on walking was measured in the Tsukude area of Shinshiro City, Aichi Prefecture, where Nagoya University has concluded a comprehensive cooperation agreement on medical care and health maintenance. Residents of the Tsukude area of Shinshiro City, as well as other residents of Shinshiro City and the surrounding area, participated. Participants wore shoes with eRubber-equipped insoles and were measured during walking. Dynamic plantar pressure data during walking were measured. Gait was also measured by a gait analysis application at the same time. In addition, gait analysis using shoes loaded with eRubber-equipped insoles was conducted at the Government and Public Sector Week Japan 2023.

Free Research Field

整形外科

Academic Significance and Societal Importance of the Research Achievements

愛知県新城市作手地区という、日本の高齢化率を15年ほど先取りする地域において、歩行に関するデータを測定した。
eRubberを搭載したインソールを装着したシューズという先進技術を用いた、歩行データ、特に動的な足底圧のデータの計測の実施は、その収集とクラスター分析などを行うことで、高齢者の歩行における特徴を把握し、腰痛や下肢の変形性関節症をはじめとする症状や疾患の兆候を捉えることに繋がる可能性がある。その実現は、高齢化社会における個別化医療と予防医療への貢献に繋がることにおいて、研究成果の意義がある。