Development of an Intelligent POWER Rehabilitation Cluster Machine and Its Clinical Testing and Assessment
NCT ID: NCT02685839
Last Updated: 2016-05-24
Study Results
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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UNKNOWN
NA
60 participants
INTERVENTIONAL
2015-05-31
2018-07-31
Brief Summary
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To overcome the above limitations, this project proposes an evidence-based rehabilitation model that accounts for actual clinical need and collaborates with our engineering team to develop a "cluster" , "wearable" and "Brain-Computer Interface System" version of POWER rehabilitation system. Combining cloud technology, investigators now introduce internet-of-things into the POWER rehabilitation procedure. The result will lower the burden of clinical support personnel, and provide an opportunity to quantify "frailty syndromes" so as to allow objective and quantitative scientific evaluation, leading to a more objective clinical diagnosis.
In addition, this project further proposes a virtual-reality (VR) system for POWER rehabilitation, as well as designs for the VR sceneries. Through the use of different animated 3D VR sceneries and interactive game design, investigators can make rehabilitation interesting and fun for the patients, motivating long-term compliance of the patients, thereby, improving the clinical outcome of POWER rehabilitation.
This project has the potential to create an innovative solution to address the current bottlenecks of our rehabilitation treatment model. Successful development of the system will offer rehabilitation clinicians more treatment options, lower the cost of supporting staff, reduce commuting cost for the patients, and elevate patient desire to comply with the treatment program. Finally, the system will not only enhance Taiwan's academic reputation in the international arena, it will also generate new commercial opportunities for Taiwan and contribute to Taiwan economic development.
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Detailed Description
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Conditions
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Study Design
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RANDOMIZED
PARALLEL
TREATMENT
SINGLE
Study Groups
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Traditional rehabilitation
Each subject will do traditional rehabilitation work two times per week and one hour at a time
, lasting 24 weeks.
general physical therapy
Power rehabilitation
Each subject will do Power rehabilitation work with motion tracking and biofeedback recording two times per week and one hour at a time, lasting 24 weeks.
Intelligent POWER Rehabilitation Cluster Machine
Interventions
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Intelligent POWER Rehabilitation Cluster Machine
general physical therapy
Eligibility Criteria
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Inclusion Criteria
* Cardiovascular Health Study (CHS) frailty criteria
* willing to sign agreement
Exclusion Criteria
* severe joint injury
* acute stroke or myocardial infarction (\< 3 months)
* cardiac arrhythmia / unstable blood pressure
* disorientation or intellectual deterioration
* muscle contracture deformity
* pregnancy
60 Years
85 Years
ALL
No
Sponsors
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Taipei Veterans General Hospital, Taiwan
OTHER_GOV
Responsible Party
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Principal Investigators
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Si Huei Lee
Role: PRINCIPAL_INVESTIGATOR
Taipei Veterans General Hospital, Taiwan
Locations
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Power Rehabilitation Room, Taipei Veterans General Hospital Integrative Rehabilitation Center
Taipei, , Taiwan
Countries
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References
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Pialoux T, Goyard J, Lesourd B. Screening tools for frailty in primary health care: a systematic review. Geriatr Gerontol Int. 2012 Apr;12(2):189-97. doi: 10.1111/j.1447-0594.2011.00797.x. Epub 2012 Jan 10.
Fung J, Richards CL, Malouin F, McFadyen BJ, Lamontagne A. A treadmill and motion coupled virtual reality system for gait training post-stroke. Cyberpsychol Behav. 2006 Apr;9(2):157-62. doi: 10.1089/cpb.2006.9.157.
Eriksson L, Lindstrom B, Ekenberg L. Patients' experiences of telerehabilitation at home after shoulder joint replacement. J Telemed Telecare. 2011;17(1):25-30. doi: 10.1258/jtt.2010.100317. Epub 2010 Nov 12.
Cherney LR, van Vuuren S. Telerehabilitation, virtual therapists, and acquired neurologic speech and language disorders. Semin Speech Lang. 2012 Aug;33(3):243-57. doi: 10.1055/s-0032-1320044. Epub 2012 Jul 31.
Sharma S, Ward EC, Burns C, Theodoros D, Russell T. Training the allied health assistant for the telerehabilitation assessment of dysphagia. J Telemed Telecare. 2012 Jul;18(5):287-91. doi: 10.1258/jtt.2012.111202. Epub 2012 Jul 11.
Study Documents
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Document Type: Clinical Study Report
View DocumentOther Identifiers
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2015-06-003B
Identifier Type: -
Identifier Source: org_study_id
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