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Virtual reality based kinematics for assessment of post-stroke upper limb function


Please use this identifier to cite or link to this item: http://hdl.handle.net/2077/63288

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Title: Virtual reality based kinematics for assessment of post-stroke upper limb function
Authors: Hussain, Netha
E-mail: netha.hussain@gu.se
nethahussain@gmail.com
Issue Date: 28-Apr-2020
University: University of Gothenburg. Sahlgrenska Academy
Institution: Institute of Neuroscience and Physiology. Department of Clinical Neuroscience and Rehabilitation
Parts of work: Hussain N, Alt Murphy M, Sunnerhagen KS. Upper limb kinematics in stroke and healthy controls using target-to-target task in virtual reality. Frontiers in Neurology. 2018;9:300.
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Hussain N, Sunnerhagen KS, Alt Murphy M. End-point kinematics using virtual reality explaining upper limb impairment and activity capacity in stroke. Journal of Neuroengineering and Rehabilitation. 2019;16(1):82.
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Hussain N, Sunnerhagen KS, Alt Murphy M. Recovery of arm function from acute to chronic stage of stroke quantified by kinematics (Submitted manuscript)

Hussain N, Alt Murphy M, Lundgren-Nilsson Å. Sunnerhagen KS. Relationship between self-reported and objectively measured manual ability varies during the first year post-stroke. Scientific Reports. 2020;10(1):5093.
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Date of Defence: 2020-05-20
Disputation: Onsdagen den 20 maj 2020, kl. 9.00, Hörsal Arvid Carlsson, Academicum, Medicinaregatan 3, Göteborg
Degree: Doctor of Philosophy (Medicine)
Publication type: Doctoral thesis
Keywords: stroke
motion analysis
upper extremity
arm function
kinematics
virtual reality
outcome assessment
rehabilitation
recovery of function
task performance and analysis
Abstract: The main scope of this thesis was to develop a method for assessing the upper limb sensorimotor function following stroke using virtual reality-based technique. The studies reported in this thesis included 67 individuals extracted from the SALGOT (Stroke Arm Longitudinal Study at the University of Gothenburg) cohort and 43 healthy controls. They performed the target-to-target pointing task in a virtual environment using a haptic stylus that captured kinematic parameters. The kinematic variables... more
ISBN: 978-91-7833-826-9 (PRINT)
978-91-7833-827-6 (PDF)
URI: http://hdl.handle.net/2077/63288
Appears in Collections:Doctoral Theses from Sahlgrenska Academy
Doctoral Theses from University of Gothenburg / Doktorsavhandlingar från Göteborgs universitet
Doctoral Theses / Doktorsavhandlingar Institutionen för neurovetenskap och fysiologi

 

 

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