NCT06739577

Show Me How You Move and I Will Tell You Who You Are

Show Me How You Move and I Will Tell You Who You Are. Body Movement Analysis and Automatic Recognition of Associated Vestibular Impairment Patterns

• Status: Completed
• Phase: —
• Study type: Observational
• Enrollment: 100 (actual)
• Sponsor: Université Catholique de Louvain · Academic / Other
• Sex: All
• Age: 18 Years – 90 Years
• Healthy volunteers: Accepted

Summary

The aim of this experiment is to gain a better understanding of the body movement patterns of patients with balance disorders (following damage to the vestibular system), as well as their cognitive performance profile. To achieve this, we will need to assess the performance of both patients and healthy subjects with no balance disorders. We will be using a newly-developed artificial intelligence tool to analyze body movement patterns on the basis of participants' videos, and we will also be evaluating participants' performance in a few simple tests of reaction times to image presentations on computer and/or tablet/smartphone. If you agree to take part in this experiment, you will be asked to perform a simple walking exercise in a corridor (filmed and supervised by a physiotherapist) as well as a few objective cognitive measurement tests (reaction time to attentional and vigilance tasks on computer and/or tablet/smartphone) and subjective tests (self-reported questionnaires) requiring around 40 minutes of investigation in total. In the long term, the results of this research will make it easier to assess balance disorders in patients with vestibular pathology, and better quantify any cognitive difficulties they may have.

Conditions

• Vestibular Disease
• Vestibular Function Disorder

Interventions

Type	Name	Description
DIAGNOSTIC_TEST	Evaluation of walking abilities (manual Timed-Up & Go - TUG and automatic -OpenTUG))	To evaluate walking abilities, participants performed the Timed-Up \& Go (TUG) f our times (practice trial, normal, slow and fast speed). Patient's performances are videorecorded with an Intel RealSense depth camera D435i to capture their movements, and manual time recording of time taken (in seconds) and number of steps are carried out by the experimenters. Complementary to manual experimenter recording, a 2D human pose estimation method (OpenTUG) is applied to automatically extract the time and the number of steps taken by the participant during the TUG task.
DIAGNOSTIC_TEST	Neuropsychological assesment is provide to measure objective and subjective cognition/emotional aspects.	Neuropsychological evaluation assess attention (Test for Attentional Performance -TAP-) and quality-of-life (DHI, HADS, and NVI).

Timeline

• Start date: 2021-08-10
• Primary completion: 2023-07-01
• Completion: 2023-07-01
• First posted: 2024-12-18
• Last updated: 2024-12-18

Locations

1 site across 1 country: Belgium