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Using cameras to measure movement difficulties

Researchers are evaluating walking tasks and visual movement analysis as possible ways to distinguish movement problems.

Learning by observing or collecting information · Study reference: DRKS00016999

Plain-language introduction written with AI from the registry; not independently checked by a clinician. Read the original details below ↓

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Start (reported date)
2019-05-07

Planned dates can move. A study finishing does not tell us when a paper will be published.

No results summary has been confirmed in the registry records we imported. See connected papers below; we keep checking after recruitment ends.

Changes we have recorded
  • 2026-10-11 — recruiting

These are dates we observed a change, not necessarily the dates it happened.

Papers connected to this study

No connected paper has been found yet. The tracker checks the growing library for study identifiers and registry-linked publications.

Who can join?

Ages 18 years to 99 years · Ask the team who can join

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Read all the rules for taking part

Sex eligibility reported by registry: all

Inclusion criteria: -Male or female patients/ healthy controls -Patients: Patients with symptoms of a neurological motor disorder (neurodegenerative, sensory loss) -Age: = 18 years -Signed informed consent Exclusion criteria: -Acute psychotic syndrome -Incapability to sign informed consent -Medication or concomitant disease, that restricts the usability of the scientific data (decision is up to the principal investigator) -Control subject with impairment of the lower extremities (Arthrosis, Hip/Knee TEP (<5 years)) -Any additional disease which impairs stance and gait in a relevant way
Full study name & original research details

Official study title

Performance measures for detecting and differenciating abnormal motor behaviour - a pilot study - MotoPerform

Short title used by the registry

Performance measures for detecting and differenciating abnormal motor behaviour - a pilot study

Original description

Intervention: Group 1: Patients: vision-based motion analysis: TUG under three conditions: 1. preferred gait speed 2. Dual-tasking condition (counting backwards) 3. As fast as they can walk safely We test each trial twice. Handtapping: Motor Task with the Hand, where the patient have to tap alternatively onto two predefined spots with one hand. The patient/control is sitting, with two small platforms in front of them. They have to tap as fast as they can for 20 seconds. We test each side twice. Posturography For perturbed stance, the platform will be moved by rotation (±0.5° - ±1°) and translation (±0.8 cm - ±1.6 cm). For collecting data, ground reaction forces will be recorded with a force plate and body sway of lower and upper body with vision-based motion analysis. Disease/syndrome specific motor score (eg MDS-UPDRS) Scores for cognitive impairments: - MOCA Walking ability: - Tinetti (POMA) Fear of falling: - Falls Efficacy Scale International (FES-I) Quality of life questionnaires: -EORTC QLQ – CIPN20 -SF-36 Group 2: healthy controls: Patients: vision-based motion analysis: TUG under three conditions: 1. preferred gait speed 2. Dual-tasking condition (counting backwards) 3. As fast as they can walk safely We test each trial twice. Handtapping: Motor Task with the Hand, where the patient have to tap alternatively onto two predefined spots with one hand. The patient/control is sitting, with two small platforms in front of them. They have to tap as fast as they can for 20 seconds. We test each side twice. Posturography For perturbed stance, the platform will be moved by rotation (±0.5° - ±1°) and translation (±0.8 cm - ±1.6 cm). For collecti Primary outcome: Motor deficite measure [Skale 0 – 1; 0= healthy, 1=extrem symptoms] Secondary outcome: Movement analysis (vision-based) Gait speed [m/sec], Gait speed increase (%), Cadence [n/min], Step time [s], Stride time [s] Step length [cm] Stride length [cm] Base width [cm] Swing phase [% of gait cycle] Stance phase [% of gait cycle] Double support time [% of gait cycle] Speed variability [%] Step length variability [%] Stride length variability [%] Stride time variability [%] Angular changes [°] Smoothness (Hand movement and walking) Number of tapping [N] Posturography Spontaneous sway measures (cm) Body reactions following external perturbation (gain, phase, model parameters) Disease/syndrome specific motor score: Fear of falling: - Falls Efficacy Scale International (FES-I) Disease/syndrome specific motor score: - Unified Parkinson’s Disease Rating Scale (UPDRS), part III - EURO- HD Huntington’s Disease rating scale, part III - Marsden Fahn Tremor rating scale - Abnormal involuntary movement rating scale (AIMS) Walking ability: - Tinetti (POMA) Scores for cognitive impairments: - MOCA

Conditions reported: Parkinson-Syndrome,dystonia, ataxia, hyperkinetic movement disorders,sensory-driven movement disorders (polyneuropathy, vestibular loss)motor abnormalities

Registry records for this study

Records are joined using registration identifiers. Titles alone do not establish that two studies are the same.

Study type
Observational
Interventions
Group 1: Patients: vision-based motion analysis: TUG under three conditions: 1. preferred gait speed 2. Dual-tasking condition (counting backwards) 3. As fast as they can walk safely We test each trial twice. Handtapping: Motor Task with the Hand, where the patient have to tap alternatively onto two predefined spots with one hand. The patient/control is sitting, with two small platforms in front of them. They have to tap as fast as they can for 20 seconds. We test each side twice. Posturography For perturbed stance, the platform will be moved by rotation (±0.5° - ±1°) and translation (±0.8 cm - ±1.6 cm). For collecting data, ground reaction forces will be recorded with a force plate and body sway of lower and upper body with vision-based motion analysis. Disease/syndrome specific motor score (eg MDS-UPDRS) Scores for cognitive impairments: - MOCA Walking ability: - Tinetti (POMA) Fear of falling: - Falls Efficacy Scale International (FES-I) Quality of life questionnaires: -EORTC QLQ – CIPN20 -SF-36 Group 2: healthy controls: Patients: vision-based motion analysis: TUG under three conditions: 1. preferred gait speed 2. Dual-tasking condition (counting backwards) 3. As fast as they can walk safely We test each trial twice. Handtapping: Motor Task with the Hand, where the patient have to tap alternatively onto two predefined spots with one hand. The patient/control is sitting, with two small platforms in front of them. They have to tap as fast as they can for 20 seconds. We test each side twice. Posturography For perturbed stance, the platform will be moved by rotation (±0.5° - ±1°) and translation (±0.8 cm - ±1.6 cm). For collecti
Phases
Not reported
Sponsor
Universitätsklinik FreiburgKlinik für Neurologie und Neurophysiologie - klinische Forschung
Start date reported by registry
2019-05-07 (reported)

Registry updated: Not reported · Status last verified by the registry submitter: Not reported

Registry records retrieved 2026-10-14 (UTC). Individual records may have older updates. Recruitment and eligibility must be confirmed with the study team.

Contact the research team

Public study contacts supplied to the registry. Ask whether recruitment is still open and what participation involves.

Isabelle Walz · 0761/ 270 54794 · isabelle.walz@uniklinik-freiburg.de

Study locations

Site status can differ from overall study status. “Status not reported” means local availability needs confirmation. Remote participation and travel arrangements must be checked with the team.

Facility not reported

Germany

Status not reported

The original descriptions and participation rules come from the registry. Participation is voluntary and does not guarantee benefit.