- ICH GCP
- Registre américain des essais cliniques
- Essai clinique NCT02324829
Automatic Physiotherapy and Rehabilitation System for Lower Body Total Joint Replacement
Aperçu de l'étude
Statut
Les conditions
Description détaillée
Many of the tasks performed regularly by physiotherapists during any given rehabilitation session are repetitive and do not rely on the physiotherapist's expertise, and could be performed and observed by automated means. The developed system will detect patient body postures and movements with data collected through sensors such as accelerometers. This data will be pattern matched to a predetermined movement pattern and feedback will be provided for patients regarding accuracy of their exercises. This data can be logged for the physiotherapist to examine at a later time. By automating this component of a rehabilitation session, the system will allow the physiotherapist to focus diagnosis and other tasks that will better utilize their training. The specific application for this prototype will be post-operative knee/hip replacement patients, so all devices must be non-invasive and must not interfere with normal recovery processes.
A previous version of this experiment on healthy participants has been successfully performed. This study would like to examine the feasibility of this system on rehabilitation subjects, as the movement patterns of a subject in physical rehabilitation may be dramatically different then a healthy subject. No intervention is suggested by the system, as this study is observational.
Type d'étude
Inscription (Réel)
Contacts et emplacements
Lieux d'étude
-
-
Ontario
-
Toronto, Ontario, Canada, M5G 2A2
- Toronto Rehabilitation Instititue
-
-
Critères de participation
Critère d'éligibilité
Âges éligibles pour étudier
- Enfant
- Adulte
- Adulte plus âgé
Accepte les volontaires sains
Sexes éligibles pour l'étude
Méthode d'échantillonnage
Population étudiée
La description
Inclusion Criteria:
- Any patient who has had hip and/or knee total joint replacement and requires rehabilitation, and are assessed by physiotherapists as likely able to finish their rehabilitation cycle and be discharged to home.
- Patients with medical complications or other injuries will be not be excluded, as we are interested in seeing the movement profiles of a wide range of people.
- In-patients
Exclusion Criteria:
- Patients at risk of developing serious postoperative complications, such as an infection, myocardial infarction or anything that requires subsequent surgery, they may be excluded.
- Out-patients.
- Patients who cannot give explicit consent or understand the physiotherapist's instructions
- Patients who do not speak fluent English
Plan d'étude
Comment l'étude est-elle conçue ?
Détails de conception
Cohortes et interventions
Groupe / Cohorte |
---|
Total joint replacement
Patients who has undergone lower body total joint replacement surgery.
|
Que mesure l'étude ?
Principaux critères de jugement
Mesure des résultats |
Description de la mesure |
Délai |
---|---|---|
Joint angle assessment
Délai: 2 weeks
|
Inertial measurement unit (IMU) data will be translated to joint angles via extended Kalman filter and kinematic modeling.
|
2 weeks
|
Mesures de résultats secondaires
Mesure des résultats |
Description de la mesure |
Délai |
---|---|---|
Motion segmentation and identification
Délai: 2 weeks
|
The joint angle data will be processed to automatically segment and identify rehabilitation motion.
|
2 weeks
|
Collaborateurs et enquêteurs
Parrainer
Collaborateurs
Les enquêteurs
- Chercheur principal: Dana Kulic, PhD, University of Waterloo
Publications et liens utiles
Publications générales
- Lin JF, Kulic D. Human pose recovery using wireless inertial measurement units. Physiol Meas. 2012 Dec;33(12):2099-115. doi: 10.1088/0967-3334/33/12/2099. Epub 2012 Nov 23.
- Feng-Shun Lin J, Kulic D. Segmenting human motion for automated rehabilitation exercise analysis. Annu Int Conf IEEE Eng Med Biol Soc. 2012;2012:2881-4. doi: 10.1109/EMBC.2012.6346565.
- Lin JF, Kulic D. Online Segmentation of Human Motion for Automated Rehabilitation Exercise Analysis. IEEE Trans Neural Syst Rehabil Eng. 2014 Jan;22(1):168-80. doi: 10.1109/TNSRE.2013.2259640. Epub 2013 May 2.
Dates d'enregistrement des études
Dates principales de l'étude
Début de l'étude
Achèvement primaire (Réel)
Achèvement de l'étude (Réel)
Dates d'inscription aux études
Première soumission
Première soumission répondant aux critères de contrôle qualité
Première publication (Estimation)
Mises à jour des dossiers d'étude
Dernière mise à jour publiée (Estimation)
Dernière mise à jour soumise répondant aux critères de contrôle qualité
Dernière vérification
Plus d'information
Termes liés à cette étude
Mots clés
Autres numéros d'identification d'étude
- ORE 18193
- REB 12-025 (Autre identifiant: University Health Network)
Plan pour les données individuelles des participants (IPD)
Prévoyez-vous de partager les données individuelles des participants (DPI) ?
Ces informations ont été extraites directement du site Web clinicaltrials.gov sans aucune modification. Si vous avez des demandes de modification, de suppression ou de mise à jour des détails de votre étude, veuillez contacter register@clinicaltrials.gov. Dès qu'un changement est mis en œuvre sur clinicaltrials.gov, il sera également mis à jour automatiquement sur notre site Web .
Essais cliniques sur Lower-body Total Joint Replacement
-
University of ZurichComplétéScheker Total Distal Radioulnar Joint ProthèseSuisse