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Grant: Doctoral Award - Frederick Banting and Charles Best Canada Graduate Scholarships

University of British Columbia

$105,000.00

Re-learning to reach after stroke

FY 2017-18

Summary
Despite advances in the management of stroke from a medical and rehabilitation perspective, among Canadians who have had a stroke, overall health-related quality of life associated with chronic impaired arm and hand function is declining. This suggests a need to investigate novel approaches to enhance recovery of arm function. Successful rehabilitation of arm function depends on the ability to re-learn the motor skill of reaching. Often after a stroke, voluntary arm movement is not possible without assistance from a therapist physically guiding the impaired arm through many movement repetitions. Studies of reach training in healthy adults have not found this method to be as effective as active practice, suggesting learners require both the experience of generating the movement and the sensation of what it feels like as it is moving to retain the learned skill. This can be made possible with a new approach to guidance using a bimanual robot. I propose to use a bimanual robot, to yoke the movement of one robot arm to match the movements of an active robot arm. This allows a learner to engage in unassisted physical practice with one arm, such that it guides the yoked arm which experiences the sensation of the same movement. The rationale for this approach is supported by evidence that learning a reaching task with one arm transfers to the opposite arm in healthy adults. The proposed method will first be validated in healthy adults before being tested in individuals with impaired arm function secondary to a stroke. Performance on the reaching task will be assessed in both arms prior to and following the intervention. I hypothesize that arm movement speed and accuracy (recorded by the robot during reaching task training) of the yoked arm will improve as a result of self-guided bimanual movement training. This work could provide valuable insight and rationale for the potential use of robot-assisted therapies clinically as a tool to enhance arm rehabilitation after stroke.
Program
Doctoral Award - Frederick Banting and Charles Best Canada Graduate Scholarships
Location
British Columbia, Canada
Recipient Type
Academia
Type
Grant
Source
CIHR Funding Decisions Database

As published

Id
383354
Name
Larssen Beverley
Region
British Columbia
Country
Canada
Orgtype
Institution Paid; Research Institution
Instname2
Neurosciences, Mental Health and Addiction
Theme2
Clinical
Prcname2
Doctoral Research Awards - A
Projecttitle
Re-learning to reach after stroke
Programtype2
Studentship Programs
Orgnameinp2
University of British Columbia
Cihramount2
$105,000
Cihrequipment2
$0
Programname2
Doctoral Award - Frederick Banting and Charles Best Canada Graduate Scholarships
Keyworddelim
Hemiparesis; Motor Learning; Movement Kinematics; Rehabilitation; Robotics; Stroke; Upper Limb
Abstract
Despite advances in the management of stroke from a medical and rehabilitation perspective, among Canadians who have had a stroke, overall health-related quality of life associated with chronic impaired arm and hand function is declining. This suggests a need to investigate novel approaches to enhance recovery of arm function. Successful rehabilitation of arm function depends on the ability to re-learn the motor skill of reaching. Often after a stroke, voluntary arm movement is not possible without assistance from a therapist physically guiding the impaired arm through many movement repetitions. Studies of reach training in healthy adults have not found this method to be as effective as active practice, suggesting learners require both the experience of generating the movement and the sensation of what it feels like as it is moving to retain the learned skill. This can be made possible with a new approach to guidance using a bimanual robot. I propose to use a bimanual robot, to yoke the movement of one robot arm to match the movements of an active robot arm. This allows a learner to engage in unassisted physical practice with one arm, such that it guides the yoked arm which experiences the sensation of the same movement. The rationale for this approach is supported by evidence that learning a reaching task with one arm transfers to the opposite arm in healthy adults. The proposed method will first be validated in healthy adults before being tested in individuals with impaired arm function secondary to a stroke. Performance on the reaching task will be assessed in both arms prior to and following the intervention. I hypothesize that arm movement speed and accuracy (recorded by the robot during reaching task training) of the yoked arm will improve as a result of self-guided bimanual movement training. This work could provide valuable insight and rationale for the potential use of robot-assisted therapies clinically as a tool to enhance arm rehabilitation after stroke.
Competitiondate
201710
Approvedterm2
3 yrs 0 mth
Pinamesdelim
Larssen, Beverley
Approvedterm
3 ans 0 mois
Cihrcontribution2
~ $105,000~ $0~
University of British Columbia - $105,000 Grant (2017… | Canada Spends