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- Klinische proef NCT02324829
Automatic Physiotherapy and Rehabilitation System for Lower Body Total Joint Replacement
Studie Overzicht
Toestand
Conditie
Gedetailleerde beschrijving
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.
Studietype
Inschrijving (Werkelijk)
Contacten en locaties
Studie Locaties
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Ontario
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Toronto, Ontario, Canada, M5G 2A2
- Toronto Rehabilitation Instititue
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Deelname Criteria
Geschiktheidscriteria
Leeftijden die in aanmerking komen voor studie
- Kind
- Volwassen
- Oudere volwassene
Accepteert gezonde vrijwilligers
Geslachten die in aanmerking komen voor studie
Bemonsteringsmethode
Studie Bevolking
Beschrijving
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
Studie plan
Hoe is de studie opgezet?
Ontwerpdetails
Cohorten en interventies
Groep / Cohort |
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Total joint replacement
Patients who has undergone lower body total joint replacement surgery.
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Wat meet het onderzoek?
Primaire uitkomstmaten
Uitkomstmaat |
Maatregel Beschrijving |
Tijdsspanne |
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Joint angle assessment
Tijdsspanne: 2 weeks
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Inertial measurement unit (IMU) data will be translated to joint angles via extended Kalman filter and kinematic modeling.
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2 weeks
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Secundaire uitkomstmaten
Uitkomstmaat |
Maatregel Beschrijving |
Tijdsspanne |
|---|---|---|
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Motion segmentation and identification
Tijdsspanne: 2 weeks
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The joint angle data will be processed to automatically segment and identify rehabilitation motion.
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2 weeks
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Medewerkers en onderzoekers
Sponsor
Medewerkers
Onderzoekers
- Hoofdonderzoeker: Dana Kulic, PhD, University of Waterloo
Publicaties en nuttige links
Algemene publicaties
- 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.
Studie record data
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Studie start
Primaire voltooiing (Werkelijk)
Studie voltooiing (Werkelijk)
Studieregistratiedata
Eerst ingediend
Eerst ingediend dat voldeed aan de QC-criteria
Eerst geplaatst (Schatting)
Updates van studierecords
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Laatste update ingediend die voldeed aan QC-criteria
Laatst geverifieerd
Meer informatie
Termen gerelateerd aan deze studie
Trefwoorden
Andere studie-ID-nummers
- ORE 18193
- REB 12-025 (Andere identificatie: University Health Network)
Plan Individuele Deelnemersgegevens (IPD)
Bent u van plan om gegevens van individuele deelnemers (IPD) te delen?
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