Screening Methods for Orthopedic Disorders Based on Sensing of Unconscious Daily Activities

2023 Fiscal Year Final Research Report

• Project/Area Number: 21H03485
• Research Category: Grant-in-Aid for Scientific Research (B)
• Allocation Type: Single-year Grants
• Section: 一般
• Review Section: Basic Section 61020:Human interface and interaction-related
• Research Institution: Keio University
• Principal Investigator: Sugiura Yuta 慶應義塾大学, 理工学部(矢上), 准教授 (40725967)
• Co-Investigator(Kenkyū-buntansha): 藤田 浩二 東京医科歯科大学, 大学院医歯学総合研究科, ジョイントリサーチ講座講師 (80451970)
• Project Period (FY): 2021-04-01 – 2024-03-31
• Keywords: 疾患スクリーニング / モバイルコンピューティング / 医工連携 / ユーザインタフェース

Outline of Final Research Achievements

The goal of this research is to establish a screening method for predicting orthopedic diseases using the daily behavioral movements of users via mobile devices. Specifically, the following outcomes were achieved: (1) high-precision screening for carpal tunnel syndrome (CTS) and cervical myelopathy (CM) using hand motions with a tablet and stylus, (2) development of a screening method for CTS and CM using hand motion measurements with a smartphone camera, (3) estimation of CTS using time-series data from ultrasound videos, (4) development of an automatic cervical range of motion measurement system using X-ray images, and (5) proposal of a gait recognition personal identification technique using low-dimensional sensors.

Free Research Field

ヒューマンインタフェース

Academic Significance and Societal Importance of the Research Achievements

本研究成果は，整形外科疾患のスクリーニング手法の中でも，書字動作等の日常動作に着目した点で新規性がある．そのため，病院外での利用実施による疾患の早期発見に寄与する可能性がある．これにより健康寿命を延伸するのみならず，医療資源をより重度の疾患に分配するなど，医療の効率化と医療費削減に貢献が可能となる．