Robot Therapy for Rehabilitation of Hand Movement After Stroke
NCT ID: NCT04536987
Last Updated: 2020-09-03
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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COMPLETED
PHASE2
15 participants
INTERVENTIONAL
2012-10-04
2017-01-15
Brief Summary
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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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low-dosage robot therapy
12 sessions of robotic therapy over 4-5 weeks
HEXORR
The subject receives robotic assistance from the HEXORR robot during finger and thumb movements. Several different video games are used to provide feedback of performance and motivate the training. The assistance level is adjusted automatically in some games and manually in other games to enable a target success rate of 67% when playing the games.
hi-dosage robot therapy
24 sessions of robotic therapy over 8-10 weeks
HEXORR
The subject receives robotic assistance from the HEXORR robot during finger and thumb movements. Several different video games are used to provide feedback of performance and motivate the training. The assistance level is adjusted automatically in some games and manually in other games to enable a target success rate of 67% when playing the games.
Interventions
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HEXORR
The subject receives robotic assistance from the HEXORR robot during finger and thumb movements. Several different video games are used to provide feedback of performance and motivate the training. The assistance level is adjusted automatically in some games and manually in other games to enable a target success rate of 67% when playing the games.
Eligibility Criteria
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Inclusion Criteria
2. presence of voluntary hand activity indicated by a score of at least 1 on the finger mass extension/grasp release item of the Fugl-Meyer Test of Motor Function
3. adequate cognitive status, as determined by Mini-Mental Status Examination score \>24
Exclusion Criteria
2. had MCP and IP passive extension limit \> 30 degrees from full extension
3. had pain that interfered with daily activities
4. had excessive tone in the fingers and thumb as determined by Ashworth scores \>=3
5. had severe sensory loss or hemispatial neglect as determined by clinical exam.
21 Years
ALL
No
Sponsors
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MedStar National Rehabilitation Network
OTHER
The Catholic University of America
OTHER
Responsible Party
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Principal Investigators
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Peter Lum
Role: PRINCIPAL_INVESTIGATOR
The Catholic University of America
Locations
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MedStar National Rehabilitation Network
Washington D.C., District of Columbia, United States
Countries
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References
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Godfrey SB, Holley RJ, Lum PS. Evaluation of HEXORR Tone Assistance Mode Against Spring Assistance. IEEE Trans Neural Syst Rehabil Eng. 2015 Jul;23(4):610-7. doi: 10.1109/TNSRE.2015.2398933. Epub 2015 Feb 4.
Godfrey SB, Holley RJ, Lum PS. Clinical effects of using HEXORR (Hand Exoskeleton Rehabilitation Robot) for movement therapy in stroke rehabilitation. Am J Phys Med Rehabil. 2013 Nov;92(11):947-58. doi: 10.1097/PHM.0b013e31829e7a07.
Schabowsky CN, Godfrey SB, Holley RJ, Lum PS. Development and pilot testing of HEXORR: hand EXOskeleton rehabilitation robot. J Neuroeng Rehabil. 2010 Jul 28;7:36. doi: 10.1186/1743-0003-7-36.
Other Identifiers
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2012-315
Identifier Type: -
Identifier Source: org_study_id
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