Biomechanical measurement data collection of human gait patterns for the development and validation of predictive simulations under varying modeled orthosis-specific boundary conditions.
Conditions
Interventions
Group 1: The recruitment of subjects takes place both within and outside Ulm University of Applied Sciences by means of notices and direct contact with interested parties.
Each participant undergoes a
Sponsors
Technische Hochschule Ulm
Eligibility
Sex/Gender
All
Age
18 Years to 60 Years
Inclusion criteria
Inclusion criteria: Signed and dated consent form of the subject.
Exclusion criteria
Exclusion criteria: - Known allergic reaction to Kinesio tapes/adhesives - Presence of an acute general illness or orthopedic condition that prevents participation - Pregnancy
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| The collected measurement data will be used to create and evaluate predictive biomechanical simulations. The aim is to investigate the extent to which predictive biomechanical simulations can represent differences in gait patterns under varying modeled orthosis-specific boundary conditions. For this purpose, the defined biomechanical measurement data will be systematically collected and evaluated. | — |
Secondary
| Measure | Time frame |
|---|---|
| The secondary endpoint is the evaluation of the quality, completeness, and reproducibility of the biomechanical data set collected. This is done by means of a statistical evaluation of the measured kinematic, kinetic, and muscular variables and by analyzing the measurement variability under the defined test conditions. | — |
Countries
Germany
Contacts
Public ContactMichael Munz
Technische Hochschule Ulm
Outcome results
None listed