Shimizu Hiroki, Tanigawa Kyoma, Bandara Anuradhi, Kawamoto Shinichi, Suzuki Shota, Nagai-Tanima Momoko, Aoyama Tomoki
Department of Physical Therapy, Human Health Sciences, Graduate School of Medicine, Kyoto University, Kyoto 606-8507, Japan; Japan Society for the Promotion of Science, Tokyo, 102-0083, Japan.
Japan Society for the Promotion of Science, Tokyo, 102-0083, Japan.
Med Eng Phys. 2025 Mar;137:104295. doi: 10.1016/j.medengphy.2025.104295. Epub 2025 Feb 8.
The objectives of this study were to measure outdoor gait parameters using an In-Shoe Motion Sensor System (IMS) and evaluate how different types of surfaces affect various gait dynamics. Accurate outdoor gait data are crucial for effective fall risk assessment because surface irregularities and tripping hazards often result in falls during walking. An IMS was used in this study to collect spatiotemporal, spatial, and foot parameters from 27 healthy adults walking on indoor asphalt, soil, and grass surfaces. Data were recorded during a 6-minute walk test, with measurements taken every 2 min and analyzed using the Statistical Package for the Social Sciences. The results showed significant differences in foot clearance, heel height, and gait cycle across surfaces. Walking on grass significantly increased foot height, swing time, and roll angle of heel contact. These findings may help develop interventions to prevent falls.
本研究的目的是使用鞋内运动传感器系统（IMS）测量户外步态参数，并评估不同类型的地面如何影响各种步态动力学。准确的户外步态数据对于有效的跌倒风险评估至关重要，因为地面不平整和绊倒危险常常导致行走时跌倒。本研究使用IMS从27名健康成年人在室内沥青、土壤和草地表面行走时收集时空、空间和足部参数。在6分钟的步行测试中记录数据，每2分钟进行一次测量，并使用社会科学统计软件包进行分析。结果表明，不同表面的足部间隙、足跟高度和步态周期存在显著差异。在草地上行走显著增加了足部高度、摆动时间和足跟接触时的滚动角度。这些发现可能有助于制定预防跌倒的干预措施。
