Development of an Assessment System for Camera-Based Motion Analysis
Résumé de l'étude
In the rehabilitation of children and adolescents with neurological issues, more precise and objective measurement methods are increasingly being used. For this purpose, we have developed a method to capture movements in 3D. We have conducted initial studies that show that the motion capture is quite accurate. Now we want to know how to best evaluate the data. We aim to try different methods to determine these measurements. Then we want to find the best method. We test healthy children, adolescents, and young adults as well as patients. Participants will perform various tasks (e.g., sitting upright and extending both arms forward, leaning the upper body forward, sitting or lying still). The tasks come from tests that assess trunk control or dyskinesia, which is a movement disorder characterized by involuntary muscle movements and spasms. Everything is filmed with a special camera. Afterwards, we will test different methods to evaluate the movements.
(BASEC)
Intervention étudiée
We use a single RGB-D camera (Red-Green-Blue and Depth), namely the Kinect camera (Azure Kinect Developer Kit or AKDK) [Microsoft2024] or the technically identical Orbbec Femto Bolt [Orbbec2024]. These cameras are cost-effective, portable, and provide 3D information about the scene, thus having the potential to enable high-quality 3D motion tracking with a single camera. We have developed a method for tracking 3D full-body movements of children using a single RGB-D camera, referred to as SMPLify-KiDS. In this study, we will investigate how meaningful and psychometrically sound measurements for outcomes can be derived from these recordings.
(BASEC)
Maladie en cours d'investigation
e.g., cerebral palsy, traumatic brain injury, stroke
(BASEC)
- able to follow simple instructions and comply with the protocol requirements - able to communicate discomfort, pain, and the need for a break - verbal consent for participation from children under 14 years (in addition to parental consent) or informed consent signed by a legal representative, as well as from adolescents aged 14 or older and young adults (BASEC)
Critères d'exclusion
- for healthy participants: any musculoskeletal, cardiovascular, or neurological diagnosis - behavioral diagnoses such as autism, attention deficit disorder (ADD), attention deficit hyperactivity disorder (ADHD) (BASEC)
Lieu de l’étude
Zurich
(BASEC)
Sponsor
Hubertus van Hedel, Sponsor-Investigator Swiss Children's Rehab, University Children's Hospital Zurich
(BASEC)
Contact pour plus d'informations sur l'étude
Personne de contact en Suisse
Hubertus van Hedel
+41 44 762 52 91
hubertus.vanhedel@clutterkispi.uzh.chSwiss Children's Rehab, University Children's Hospital Zurich Mühlebergstrasse 104 8910 Affoltern am Albis
(BASEC)
Informations scientifiques
non disponible
Nom du comité d'éthique approbateur (pour les études multicentriques, uniquement le comité principal)
Commission cantonale de Zurich
(BASEC)
Date d'approbation du comité d'éthique
19.08.2025
(BASEC)
Identifiant de l'essai ICTRP
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Titre officiel (approuvé par le comité d'éthique)
Developing outcome metrics from markerless RGB-D motion tracking data for motion analysis (BASEC)
Titre académique
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Titre public
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Maladie en cours d'investigation
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Intervention étudiée
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Type d'essai
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Plan de l'étude
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Critères d'inclusion/exclusion
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Critères d'évaluation principaux et secondaires
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Date d'enregistrement
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Inclusion du premier participant
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Sponsors secondaires
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Contacts supplémentaires
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ID secondaires
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Résultats-Données individuelles des participants
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Informations complémentaires sur l'essai
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Résultats de l'essai
Résumé des résultats
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Lien vers les résultats dans le registre primaire
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