Healthy adults (no specific disease condition)
Conditions
Interventions
None listed
Sponsors
Eligibility
Inclusion criteria
Inclusion criteria: Healthy male students aged 18-25 enrolled in this university No orthopedic or neurological disorders affecting gait Provided written informed consent after receiving a full explanation of the study
Exclusion criteria
Exclusion criteria: Presence of orthopedic or neurological disorders, or pain that affects gait Individuals who do not provide consent or withdraw consent during the study Individuals judged by the investigator to be unable to safely perform gait measurements
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| Validation of the agreement between gait spatiotemporal parameters (e.g., gait speed, stride length, gait cycle duration) and sagittal lower limb joint angles measured by an IMU sensor and those measured by a 3D motion capture system, using RMSE, ICC, and Bland-Altman analysis. | — |
Secondary
| Measure | Time frame |
|---|---|
| Evaluation of differences in sagittal lower limb joint angle waveforms throughout the gait cycle using Statistical Parametric Mapping (SPM) to identify agreement and error regions between the IMU sensor and the 3D motion capture system. In addition, exploratory analyses will be conducted to assess variations in measurement errors under different walking speeds. | — |
Countries
Japan
Contacts
Niigata University of Health and Welfare Faculty of Rehabilitation, Dept. of Prosthetics, Orthotics and Assistive Technology