DRKS00034705
Not yet recruiting
Not Applicable
Subject study to determine kinematic variables, force and pressure distributions, as well as surface electromyography (EMG) data during the performance of physiotherapeutic and gymnastic exercises, as well as gait analyses, for the application and evaluation of machine learning (ML) and deep learning (DL) algorithms.
Technische Hochschule Ulm0 sites50 target enrollmentJuly 18, 2024
Overview
- Phase
- Not Applicable
- Intervention
- Not specified
- Conditions
- Acquisition of measurement data for the training of neural networks for the assessment of gait patterns and physiotherapeutic exercises for forefoot dorsiflexion weakness.
- Sponsor
- Technische Hochschule Ulm
- Enrollment
- 50
- Status
- Not yet recruiting
- Last Updated
- last year
Overview
Brief Summary
No summary available.
Investigators
Eligibility Criteria
Inclusion Criteria
- •Signed and dated declaration of consent from the subject.
Exclusion Criteria
- •\- Known allergic reaction to kinesio tapes / adhesives
- •\- Presence of an acute general illness or an orthopaedic illness that prevents participation.
- •\- Pregnancy
Outcomes
Primary Outcomes
Not specified
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