Parameter analysis for robotic assessment of impairments in reaching due to stroke
Stroke is a condition that arises from partial or complete blockage of blood flow to parts of the brain. Upper limb impairments (sensorimotor deficits) usually occur as a result of stroke. Assessment and diagnosis of the resulting upper limb impairments is important for effective rehabilitation and...
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ndltd-LACETR-oai-collectionscanada.gc.ca-OKQ.1974-8522013-12-20T03:38:34ZParameter analysis for robotic assessment of impairments in reaching due to strokeAbu-Zeid, AmrAssessmentRoboticReachingStrokeStroke is a condition that arises from partial or complete blockage of blood flow to parts of the brain. Upper limb impairments (sensorimotor deficits) usually occur as a result of stroke. Assessment and diagnosis of the resulting upper limb impairments is important for effective rehabilitation and proper recovery. In terms of assessment, current ordinal scale systems used are inherently subjective and incorporate coarse rating scores (Chedoke McMaster, Fugel Meyer test, etc.). These scores do not provide clinicians with information regarding the underlying impairments which is important for effective rehabilitation therapy. We investigated the use of a reaching task on a bi-lateral upper limb robotic device (KINARM), developed by one of our team members (Stephen Scott), to assess upper limb impairments due to stroke. Control and stroke subjects were instructed to reach with both arms on the robotic device to illuminating spatial targets as quickly and as accurately as possible. We first developed a tool that would aid in locating targets where reaching impairments are visible for stroke subjects. From the Kinematic data collected, we then selected reaction time and first peak velocity of the hand and investigated their potential for separating control and stroke subjects. Results of our analysis showed the potential of both parameters as good quantitative assessment measures. In particular results for reaction time presented symmetrical differences between both arms were of main interest in this thesis. Such differences presented the potential of sensitivity in showing subtle impairments.Thesis (Master, Computing) -- Queen's University, 2007-09-25 11:54:00.694Queen's University (Kingston, Ont.). Theses (Queen's University (Kingston, Ont.))2007-09-25 11:54:00.6942007-10-05T13:48:21Z2007-10-05T13:48:21Z2007-10-05T13:48:21ZThesis2154346 bytesapplication/pdfhttp://hdl.handle.net/1974/852enenCanadian thesesThis publication is made available by the authority of the copyright owner solely for the purpose of private study and research and may not be copied or reproduced except as permitted by the copyright laws without written authority from the copyright owner. |
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Assessment Robotic Reaching Stroke |
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Assessment Robotic Reaching Stroke Abu-Zeid, Amr Parameter analysis for robotic assessment of impairments in reaching due to stroke |
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Stroke is a condition that arises from partial or complete blockage of blood flow to parts of the brain. Upper limb impairments (sensorimotor deficits) usually occur as a result of stroke. Assessment and diagnosis of the resulting upper limb impairments is important for effective rehabilitation and proper recovery. In terms of assessment, current ordinal scale systems used are inherently subjective and incorporate coarse rating scores (Chedoke McMaster, Fugel Meyer test, etc.). These scores do not provide clinicians with information regarding the underlying impairments which is important for effective rehabilitation therapy.
We investigated the use of a reaching task on a bi-lateral upper limb robotic device (KINARM), developed by one of our team members (Stephen Scott), to assess upper limb impairments due to stroke. Control and stroke subjects were instructed to reach with both arms on the robotic device to illuminating spatial targets as quickly and as accurately as possible. We first developed a tool that would aid in locating targets where reaching impairments are visible for stroke subjects. From the Kinematic data collected, we then selected reaction time and first peak velocity of the hand and investigated their potential for separating control and stroke subjects. Results of our analysis showed the potential of both parameters as good quantitative assessment measures. In particular results for reaction time presented symmetrical differences between both arms were of main interest in this thesis. Such differences presented the potential of sensitivity in showing subtle impairments. === Thesis (Master, Computing) -- Queen's University, 2007-09-25 11:54:00.694 |
author2 |
Queen's University (Kingston, Ont.). Theses (Queen's University (Kingston, Ont.)) |
author_facet |
Queen's University (Kingston, Ont.). Theses (Queen's University (Kingston, Ont.)) Abu-Zeid, Amr |
author |
Abu-Zeid, Amr |
author_sort |
Abu-Zeid, Amr |
title |
Parameter analysis for robotic assessment of impairments in reaching due to stroke |
title_short |
Parameter analysis for robotic assessment of impairments in reaching due to stroke |
title_full |
Parameter analysis for robotic assessment of impairments in reaching due to stroke |
title_fullStr |
Parameter analysis for robotic assessment of impairments in reaching due to stroke |
title_full_unstemmed |
Parameter analysis for robotic assessment of impairments in reaching due to stroke |
title_sort |
parameter analysis for robotic assessment of impairments in reaching due to stroke |
publishDate |
2007 |
url |
http://hdl.handle.net/1974/852 |
work_keys_str_mv |
AT abuzeidamr parameteranalysisforroboticassessmentofimpairmentsinreachingduetostroke |
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1716620775353483264 |