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Determination of kinematic variables, force and pressure distributions, as well as EEG and surface EMG data during the performance of physiotherapeutic and gymnastic exercises, as well as gait analysis, for the application and evaluation of machine learning (ML) and deep learning (DL) algorithms.

Determination of kinematic variables, force and pressure distributions, as well as EEG and surface EMG data during the performance of physiotherapeutic and gymnastic exercises, as well as gait analysis, for the application and evaluation of machine learning (ML) and deep learning (DL) algorithms.

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
DRKS
Registry ID
DRKS00027259
Enrollment
24
Registered
2021-12-01
Start date
2022-01-10
Completion date
Unknown
Last updated
2025-04-07

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Healthy Volunteers

Interventions

Group 1: Subjects perform defined movement exercises

Sponsors

Technische Hochschule Ulm
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to 60 Years

Inclusion criteria

Inclusion criteria: No relevant pre-existing conditions that limit the function of the musculoskeletal system in relation to the defined range of motion exercises.

Exclusion criteria

Exclusion criteria: Diseases of the musculoskeletal system, unhealed injuries, recent surgeries, leg length discrepancies, disorders of the sense of balance.

Design outcomes

Primary

MeasureTime frame
The machine learning systems will be trained on the basis of the collected measurement data in order to be able to investigate to what extent an evaluation of the exercise performance is possible with this system. For this purpose, kinematic variables, force and pressure distributions, as well as EEG and surface EMG data will be collected.—

Secondary

MeasureTime frame
The quality of the acquired data set can be defined on the basis of a statistical evaluation of the measured variables and assigned exercise ratings.—

Countries

Germany

Contacts

Public ContactThomas Engleder

Technische Hochschule Ulm

Thomas.Engleder@thu.de+49 (0)731 50-28529

Outcome results

None listed

Source: DRKS (via WHO ICTRP) · Data processed: Feb 4, 2026