- ICH GCP
- US Clinical Trials Registry
- Klinisk utprøving NCT02324829
Automatic Physiotherapy and Rehabilitation System for Lower Body Total Joint Replacement
Studieoversikt
Status
Detaljert beskrivelse
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
Registrering (Faktiske)
Kontakter og plasseringer
Studiesteder
-
-
Ontario
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Toronto, Ontario, Canada, M5G 2A2
- Toronto Rehabilitation Instititue
-
-
Deltakelseskriterier
Kvalifikasjonskriterier
Alder som er kvalifisert for studier
- Barn
- Voksen
- Eldre voksen
Tar imot friske frivillige
Kjønn som er kvalifisert for studier
Prøvetakingsmetode
Studiepopulasjon
Beskrivelse
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
Studieplan
Hvordan er studiet utformet?
Designdetaljer
Kohorter og intervensjoner
Gruppe / Kohort |
|---|
|
Total joint replacement
Patients who has undergone lower body total joint replacement surgery.
|
Hva måler studien?
Primære resultatmål
Resultatmål |
Tiltaksbeskrivelse |
Tidsramme |
|---|---|---|
|
Joint angle assessment
Tidsramme: 2 weeks
|
Inertial measurement unit (IMU) data will be translated to joint angles via extended Kalman filter and kinematic modeling.
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2 weeks
|
Sekundære resultatmål
Resultatmål |
Tiltaksbeskrivelse |
Tidsramme |
|---|---|---|
|
Motion segmentation and identification
Tidsramme: 2 weeks
|
The joint angle data will be processed to automatically segment and identify rehabilitation motion.
|
2 weeks
|
Samarbeidspartnere og etterforskere
Sponsor
Samarbeidspartnere
Etterforskere
- Hovedetterforsker: Dana Kulic, PhD, University of Waterloo
Publikasjoner og nyttige lenker
Generelle publikasjoner
- 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.
Studierekorddatoer
Studer hoveddatoer
Studiestart
Primær fullføring (Faktiske)
Studiet fullført (Faktiske)
Datoer for studieregistrering
Først innsendt
Først innsendt som oppfylte QC-kriteriene
Først lagt ut (Anslag)
Oppdateringer av studieposter
Sist oppdatering lagt ut (Anslag)
Siste oppdatering sendt inn som oppfylte QC-kriteriene
Sist bekreftet
Mer informasjon
Begreper knyttet til denne studien
Nøkkelord
Andre studie-ID-numre
- ORE 18193
- REB 12-025 (Annen identifikator: University Health Network)
Plan for individuelle deltakerdata (IPD)
Planlegger du å dele individuelle deltakerdata (IPD)?
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