Automatic Physiotherapy and Rehabilitation System for Lower Body Total Joint Replacement

NCT ID: NCT02324829

Last Updated: 2016-06-20

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

COMPLETED

Total Enrollment

18 participants

Study Classification

OBSERVATIONAL

Study Start Date

2012-11-30

Study Completion Date

2015-12-31

Brief Summary

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Physiotherapists spend a large amount of their time with patients observing their rehabilitation techniques. A patient going through rehabilitation exercises are routine and does not necessarily require the attention of the physiotherapist. This research will develop a sensor system that will be strapped onto the patients and will provide feedback on how accurately the exercise is being executed. This will free up the physiotherapist to focus on diagnosis and other tasks that will better utilize the physiotherapist's training. A previous study has shown that this system is feasible for healthy subjects. This study would test to see if this system is extendable to rehabilitation subjects.

Detailed Description

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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.

Conditions

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Lower-body Total Joint Replacement

Study Design

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Observational Model Type

COHORT

Study Time Perspective

CROSS_SECTIONAL

Study Groups

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Total joint replacement

Patients who has undergone lower body total joint replacement surgery.

No interventions assigned to this group

Eligibility Criteria

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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
Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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Toronto Rehabilitation Institute

OTHER

Sponsor Role collaborator

Natural Sciences and Engineering Research Council, Canada

OTHER

Sponsor Role collaborator

University of Waterloo

OTHER

Sponsor Role lead

Responsible Party

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Responsibility Role SPONSOR

Principal Investigators

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Dana Kulic, PhD

Role: PRINCIPAL_INVESTIGATOR

University of Waterloo

Locations

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Toronto Rehabilitation Instititue

Toronto, Ontario, Canada

Site Status

Countries

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Canada

References

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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.

Reference Type BACKGROUND
PMID: 23174667 (View on PubMed)

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.

Reference Type BACKGROUND
PMID: 23366526 (View on PubMed)

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.

Reference Type RESULT
PMID: 23661321 (View on PubMed)

Other Identifiers

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REB 12-025

Identifier Type: OTHER

Identifier Source: secondary_id

ORE 18193

Identifier Type: -

Identifier Source: org_study_id

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