Acquisition of measurement data for the training of neural networks for the assessment of gait patterns and physiotherapeutic exercises for forefoot dorsiflexion weakness.
Conditions
Interventions
Group 1: Test subjects are recruited inside and outside the THU by publicising and approaching interested parties. Each test subject undergoes several different measurement set-ups: walking on the tre
Sponsors
Technische Hochschule Ulm
Eligibility
Sex/Gender
All
Age
18 Years to 60 Years
Inclusion criteria
Inclusion criteria: Signed and dated declaration of consent from the subject.
Exclusion criteria
Exclusion criteria: - Known allergic reaction to kinesio tapes / adhesives - Presence of an acute general illness or an orthopaedic illness that prevents participation. - Pregnancy
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| The machine learning systems are to be trained on the basis of the measurement data collected in order to be able to analyse the extent to which an automated assessment is possible with this system. The defined measurement data is collected for this purpose. | — |
Secondary
| Measure | Time frame |
|---|---|
| The quality of the recorded data set can be defined on the basis of a statistical evaluation of the measured variables and assigned labels. | — |
Countries
Germany
Contacts
Public ContactMichael Munz
Technische Hochschule Ulm
Outcome results
None listed