Recovery of arm function during acute to chronic stage of stroke quantified by kinematics

Objective: To quantify the longitudinal changes in upper limb kinematics within the first year after stroke and to identify the factors that are associated with these changes. Methods: A total of 66 individuals with stroke from the Stroke Arm Longitudinal Study at the University of Gothenburg (SALGO...
Ausführliche Beschreibung

Gespeichert in:

Autor*in:	Netha Hussain [verfasserIn] Katharina S. Sunnerhagen [verfasserIn] Margit Alt Murphy [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2021

Schlagwörter:	upper extremity kinematics outcome assessment virtual reality stroke recovery.

Übergeordnetes Werk:	In: Journal of Rehabilitation Medicine - Medical Journals Sweden, 2017, 53(2021), 3, p jrm00171
Übergeordnetes Werk:	volume:53 ; year:2021 ; number:3, p jrm00171

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc Journal toc

DOI / URN:	10.2340/16501977-2813

Katalog-ID:	DOAJ087064855

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245	1	0	\|a Recovery of arm function during acute to chronic stage of stroke quantified by kinematics
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520			\|a Objective: To quantify the longitudinal changes in upper limb kinematics within the first year after stroke and to identify the factors that are associated with these changes. Methods: A total of 66 individuals with stroke from the Stroke Arm Longitudinal Study at the University of Gothenburg (SALGOT) cohort were included if they were able to perform the target-to-target task. Data from a virtual reality haptic target-to-target task at 6 time-points between 3 days and 12 months after stroke were analysed by linear mixed models, while controlling for the impact of cofactors (stroke severity, age, type and side of stroke, sex and presence of diabetes). Results: Kinematic variables of movement time, mean velocity and number of velocity peaks improved over time and were positively associated with younger age, less severe stroke and ischaemic compared with haemorrhagic stroke. Most of the improvement occurred within 4 weeks after stroke, although movement time and number of velocity peaks also improved between 3 and 6 months after stroke. Conclusion: Kinematic variables of movement time, mean velocity and number of velocity peaks were effective in quantifying the longitudinal changes in upper limb kinematics within the first year after stroke.
650		4	\|a upper extremity
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allfields	10.2340/16501977-2813 doi (DE-627)DOAJ087064855 (DE-599)DOAJ3abb2fcc754e4939bfc1a4def1eb1b6c DE-627 ger DE-627 rakwb eng RM1-950 Netha Hussain verfasserin aut Recovery of arm function during acute to chronic stage of stroke quantified by kinematics 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Objective: To quantify the longitudinal changes in upper limb kinematics within the first year after stroke and to identify the factors that are associated with these changes. Methods: A total of 66 individuals with stroke from the Stroke Arm Longitudinal Study at the University of Gothenburg (SALGOT) cohort were included if they were able to perform the target-to-target task. Data from a virtual reality haptic target-to-target task at 6 time-points between 3 days and 12 months after stroke were analysed by linear mixed models, while controlling for the impact of cofactors (stroke severity, age, type and side of stroke, sex and presence of diabetes). Results: Kinematic variables of movement time, mean velocity and number of velocity peaks improved over time and were positively associated with younger age, less severe stroke and ischaemic compared with haemorrhagic stroke. Most of the improvement occurred within 4 weeks after stroke, although movement time and number of velocity peaks also improved between 3 and 6 months after stroke. Conclusion: Kinematic variables of movement time, mean velocity and number of velocity peaks were effective in quantifying the longitudinal changes in upper limb kinematics within the first year after stroke. upper extremity kinematics outcome assessment virtual reality stroke recovery. Therapeutics. Pharmacology Katharina S. Sunnerhagen verfasserin aut Margit Alt Murphy verfasserin aut In Journal of Rehabilitation Medicine Medical Journals Sweden, 2017 53(2021), 3, p jrm00171 (DE-627)333032365 (DE-600)2054931-3 16512081 nnns volume:53 year:2021 number:3, p jrm00171 https://doi.org/10.2340/16501977-2813 kostenfrei https://doaj.org/article/3abb2fcc754e4939bfc1a4def1eb1b6c kostenfrei https://www.medicaljournals.se/jrm/content/html/10.2340/16501977-2813 kostenfrei https://doaj.org/toc/1650-1977 Journal toc kostenfrei https://doaj.org/toc/1651-2081 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_138 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_187 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_647 GBV_ILN_702 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 53 2021 3, p jrm00171
spelling	10.2340/16501977-2813 doi (DE-627)DOAJ087064855 (DE-599)DOAJ3abb2fcc754e4939bfc1a4def1eb1b6c DE-627 ger DE-627 rakwb eng RM1-950 Netha Hussain verfasserin aut Recovery of arm function during acute to chronic stage of stroke quantified by kinematics 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Objective: To quantify the longitudinal changes in upper limb kinematics within the first year after stroke and to identify the factors that are associated with these changes. Methods: A total of 66 individuals with stroke from the Stroke Arm Longitudinal Study at the University of Gothenburg (SALGOT) cohort were included if they were able to perform the target-to-target task. Data from a virtual reality haptic target-to-target task at 6 time-points between 3 days and 12 months after stroke were analysed by linear mixed models, while controlling for the impact of cofactors (stroke severity, age, type and side of stroke, sex and presence of diabetes). Results: Kinematic variables of movement time, mean velocity and number of velocity peaks improved over time and were positively associated with younger age, less severe stroke and ischaemic compared with haemorrhagic stroke. Most of the improvement occurred within 4 weeks after stroke, although movement time and number of velocity peaks also improved between 3 and 6 months after stroke. Conclusion: Kinematic variables of movement time, mean velocity and number of velocity peaks were effective in quantifying the longitudinal changes in upper limb kinematics within the first year after stroke. upper extremity kinematics outcome assessment virtual reality stroke recovery. Therapeutics. Pharmacology Katharina S. Sunnerhagen verfasserin aut Margit Alt Murphy verfasserin aut In Journal of Rehabilitation Medicine Medical Journals Sweden, 2017 53(2021), 3, p jrm00171 (DE-627)333032365 (DE-600)2054931-3 16512081 nnns volume:53 year:2021 number:3, p jrm00171 https://doi.org/10.2340/16501977-2813 kostenfrei https://doaj.org/article/3abb2fcc754e4939bfc1a4def1eb1b6c kostenfrei https://www.medicaljournals.se/jrm/content/html/10.2340/16501977-2813 kostenfrei https://doaj.org/toc/1650-1977 Journal toc kostenfrei https://doaj.org/toc/1651-2081 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_138 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_187 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_647 GBV_ILN_702 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 53 2021 3, p jrm00171
allfields_unstemmed	10.2340/16501977-2813 doi (DE-627)DOAJ087064855 (DE-599)DOAJ3abb2fcc754e4939bfc1a4def1eb1b6c DE-627 ger DE-627 rakwb eng RM1-950 Netha Hussain verfasserin aut Recovery of arm function during acute to chronic stage of stroke quantified by kinematics 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Objective: To quantify the longitudinal changes in upper limb kinematics within the first year after stroke and to identify the factors that are associated with these changes. Methods: A total of 66 individuals with stroke from the Stroke Arm Longitudinal Study at the University of Gothenburg (SALGOT) cohort were included if they were able to perform the target-to-target task. Data from a virtual reality haptic target-to-target task at 6 time-points between 3 days and 12 months after stroke were analysed by linear mixed models, while controlling for the impact of cofactors (stroke severity, age, type and side of stroke, sex and presence of diabetes). Results: Kinematic variables of movement time, mean velocity and number of velocity peaks improved over time and were positively associated with younger age, less severe stroke and ischaemic compared with haemorrhagic stroke. Most of the improvement occurred within 4 weeks after stroke, although movement time and number of velocity peaks also improved between 3 and 6 months after stroke. Conclusion: Kinematic variables of movement time, mean velocity and number of velocity peaks were effective in quantifying the longitudinal changes in upper limb kinematics within the first year after stroke. upper extremity kinematics outcome assessment virtual reality stroke recovery. Therapeutics. Pharmacology Katharina S. Sunnerhagen verfasserin aut Margit Alt Murphy verfasserin aut In Journal of Rehabilitation Medicine Medical Journals Sweden, 2017 53(2021), 3, p jrm00171 (DE-627)333032365 (DE-600)2054931-3 16512081 nnns volume:53 year:2021 number:3, p jrm00171 https://doi.org/10.2340/16501977-2813 kostenfrei https://doaj.org/article/3abb2fcc754e4939bfc1a4def1eb1b6c kostenfrei https://www.medicaljournals.se/jrm/content/html/10.2340/16501977-2813 kostenfrei https://doaj.org/toc/1650-1977 Journal toc kostenfrei https://doaj.org/toc/1651-2081 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_138 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_187 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_647 GBV_ILN_702 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 53 2021 3, p jrm00171
allfieldsGer	10.2340/16501977-2813 doi (DE-627)DOAJ087064855 (DE-599)DOAJ3abb2fcc754e4939bfc1a4def1eb1b6c DE-627 ger DE-627 rakwb eng RM1-950 Netha Hussain verfasserin aut Recovery of arm function during acute to chronic stage of stroke quantified by kinematics 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Objective: To quantify the longitudinal changes in upper limb kinematics within the first year after stroke and to identify the factors that are associated with these changes. Methods: A total of 66 individuals with stroke from the Stroke Arm Longitudinal Study at the University of Gothenburg (SALGOT) cohort were included if they were able to perform the target-to-target task. Data from a virtual reality haptic target-to-target task at 6 time-points between 3 days and 12 months after stroke were analysed by linear mixed models, while controlling for the impact of cofactors (stroke severity, age, type and side of stroke, sex and presence of diabetes). Results: Kinematic variables of movement time, mean velocity and number of velocity peaks improved over time and were positively associated with younger age, less severe stroke and ischaemic compared with haemorrhagic stroke. Most of the improvement occurred within 4 weeks after stroke, although movement time and number of velocity peaks also improved between 3 and 6 months after stroke. Conclusion: Kinematic variables of movement time, mean velocity and number of velocity peaks were effective in quantifying the longitudinal changes in upper limb kinematics within the first year after stroke. upper extremity kinematics outcome assessment virtual reality stroke recovery. Therapeutics. Pharmacology Katharina S. Sunnerhagen verfasserin aut Margit Alt Murphy verfasserin aut In Journal of Rehabilitation Medicine Medical Journals Sweden, 2017 53(2021), 3, p jrm00171 (DE-627)333032365 (DE-600)2054931-3 16512081 nnns volume:53 year:2021 number:3, p jrm00171 https://doi.org/10.2340/16501977-2813 kostenfrei https://doaj.org/article/3abb2fcc754e4939bfc1a4def1eb1b6c kostenfrei https://www.medicaljournals.se/jrm/content/html/10.2340/16501977-2813 kostenfrei https://doaj.org/toc/1650-1977 Journal toc kostenfrei https://doaj.org/toc/1651-2081 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_138 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_187 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_647 GBV_ILN_702 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 53 2021 3, p jrm00171
allfieldsSound	10.2340/16501977-2813 doi (DE-627)DOAJ087064855 (DE-599)DOAJ3abb2fcc754e4939bfc1a4def1eb1b6c DE-627 ger DE-627 rakwb eng RM1-950 Netha Hussain verfasserin aut Recovery of arm function during acute to chronic stage of stroke quantified by kinematics 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Objective: To quantify the longitudinal changes in upper limb kinematics within the first year after stroke and to identify the factors that are associated with these changes. Methods: A total of 66 individuals with stroke from the Stroke Arm Longitudinal Study at the University of Gothenburg (SALGOT) cohort were included if they were able to perform the target-to-target task. Data from a virtual reality haptic target-to-target task at 6 time-points between 3 days and 12 months after stroke were analysed by linear mixed models, while controlling for the impact of cofactors (stroke severity, age, type and side of stroke, sex and presence of diabetes). Results: Kinematic variables of movement time, mean velocity and number of velocity peaks improved over time and were positively associated with younger age, less severe stroke and ischaemic compared with haemorrhagic stroke. Most of the improvement occurred within 4 weeks after stroke, although movement time and number of velocity peaks also improved between 3 and 6 months after stroke. Conclusion: Kinematic variables of movement time, mean velocity and number of velocity peaks were effective in quantifying the longitudinal changes in upper limb kinematics within the first year after stroke. upper extremity kinematics outcome assessment virtual reality stroke recovery. Therapeutics. Pharmacology Katharina S. Sunnerhagen verfasserin aut Margit Alt Murphy verfasserin aut In Journal of Rehabilitation Medicine Medical Journals Sweden, 2017 53(2021), 3, p jrm00171 (DE-627)333032365 (DE-600)2054931-3 16512081 nnns volume:53 year:2021 number:3, p jrm00171 https://doi.org/10.2340/16501977-2813 kostenfrei https://doaj.org/article/3abb2fcc754e4939bfc1a4def1eb1b6c kostenfrei https://www.medicaljournals.se/jrm/content/html/10.2340/16501977-2813 kostenfrei https://doaj.org/toc/1650-1977 Journal toc kostenfrei https://doaj.org/toc/1651-2081 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_138 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_187 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_647 GBV_ILN_702 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 53 2021 3, p jrm00171
language	English
source	In Journal of Rehabilitation Medicine 53(2021), 3, p jrm00171 volume:53 year:2021 number:3, p jrm00171
sourceStr	In Journal of Rehabilitation Medicine 53(2021), 3, p jrm00171 volume:53 year:2021 number:3, p jrm00171
format_phy_str_mv	Article
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topic_facet	upper extremity kinematics outcome assessment virtual reality stroke recovery. Therapeutics. Pharmacology
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container_title	Journal of Rehabilitation Medicine
authorswithroles_txt_mv	Netha Hussain @@aut@@ Katharina S. Sunnerhagen @@aut@@ Margit Alt Murphy @@aut@@
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callnumber-first	R - Medicine
author	Netha Hussain
spellingShingle	Netha Hussain misc RM1-950 misc upper extremity misc kinematics misc outcome assessment misc virtual reality misc stroke recovery. misc Therapeutics. Pharmacology Recovery of arm function during acute to chronic stage of stroke quantified by kinematics
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topic_title	RM1-950 Recovery of arm function during acute to chronic stage of stroke quantified by kinematics upper extremity kinematics outcome assessment virtual reality stroke recovery
topic	misc RM1-950 misc upper extremity misc kinematics misc outcome assessment misc virtual reality misc stroke recovery. misc Therapeutics. Pharmacology
topic_unstemmed	misc RM1-950 misc upper extremity misc kinematics misc outcome assessment misc virtual reality misc stroke recovery. misc Therapeutics. Pharmacology
topic_browse	misc RM1-950 misc upper extremity misc kinematics misc outcome assessment misc virtual reality misc stroke recovery. misc Therapeutics. Pharmacology
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title	Recovery of arm function during acute to chronic stage of stroke quantified by kinematics
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title_full	Recovery of arm function during acute to chronic stage of stroke quantified by kinematics
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author_browse	Netha Hussain Katharina S. Sunnerhagen Margit Alt Murphy
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title_sort	recovery of arm function during acute to chronic stage of stroke quantified by kinematics
callnumber	RM1-950
title_auth	Recovery of arm function during acute to chronic stage of stroke quantified by kinematics
abstract	Objective: To quantify the longitudinal changes in upper limb kinematics within the first year after stroke and to identify the factors that are associated with these changes. Methods: A total of 66 individuals with stroke from the Stroke Arm Longitudinal Study at the University of Gothenburg (SALGOT) cohort were included if they were able to perform the target-to-target task. Data from a virtual reality haptic target-to-target task at 6 time-points between 3 days and 12 months after stroke were analysed by linear mixed models, while controlling for the impact of cofactors (stroke severity, age, type and side of stroke, sex and presence of diabetes). Results: Kinematic variables of movement time, mean velocity and number of velocity peaks improved over time and were positively associated with younger age, less severe stroke and ischaemic compared with haemorrhagic stroke. Most of the improvement occurred within 4 weeks after stroke, although movement time and number of velocity peaks also improved between 3 and 6 months after stroke. Conclusion: Kinematic variables of movement time, mean velocity and number of velocity peaks were effective in quantifying the longitudinal changes in upper limb kinematics within the first year after stroke.
abstractGer	Objective: To quantify the longitudinal changes in upper limb kinematics within the first year after stroke and to identify the factors that are associated with these changes. Methods: A total of 66 individuals with stroke from the Stroke Arm Longitudinal Study at the University of Gothenburg (SALGOT) cohort were included if they were able to perform the target-to-target task. Data from a virtual reality haptic target-to-target task at 6 time-points between 3 days and 12 months after stroke were analysed by linear mixed models, while controlling for the impact of cofactors (stroke severity, age, type and side of stroke, sex and presence of diabetes). Results: Kinematic variables of movement time, mean velocity and number of velocity peaks improved over time and were positively associated with younger age, less severe stroke and ischaemic compared with haemorrhagic stroke. Most of the improvement occurred within 4 weeks after stroke, although movement time and number of velocity peaks also improved between 3 and 6 months after stroke. Conclusion: Kinematic variables of movement time, mean velocity and number of velocity peaks were effective in quantifying the longitudinal changes in upper limb kinematics within the first year after stroke.
abstract_unstemmed	Objective: To quantify the longitudinal changes in upper limb kinematics within the first year after stroke and to identify the factors that are associated with these changes. Methods: A total of 66 individuals with stroke from the Stroke Arm Longitudinal Study at the University of Gothenburg (SALGOT) cohort were included if they were able to perform the target-to-target task. Data from a virtual reality haptic target-to-target task at 6 time-points between 3 days and 12 months after stroke were analysed by linear mixed models, while controlling for the impact of cofactors (stroke severity, age, type and side of stroke, sex and presence of diabetes). Results: Kinematic variables of movement time, mean velocity and number of velocity peaks improved over time and were positively associated with younger age, less severe stroke and ischaemic compared with haemorrhagic stroke. Most of the improvement occurred within 4 weeks after stroke, although movement time and number of velocity peaks also improved between 3 and 6 months after stroke. Conclusion: Kinematic variables of movement time, mean velocity and number of velocity peaks were effective in quantifying the longitudinal changes in upper limb kinematics within the first year after stroke.
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title_short	Recovery of arm function during acute to chronic stage of stroke quantified by kinematics
url	https://doi.org/10.2340/16501977-2813 https://doaj.org/article/3abb2fcc754e4939bfc1a4def1eb1b6c https://www.medicaljournals.se/jrm/content/html/10.2340/16501977-2813 https://doaj.org/toc/1650-1977 https://doaj.org/toc/1651-2081
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author2	Katharina S. Sunnerhagen Margit Alt Murphy
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up_date	2024-07-04T00:05:53.491Z
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Recovery of arm function during acute to chronic stage of stroke quantified by kinematics

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