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

Assessment of upper limb function in individuals with stroke using virtual reality technique

PhD project of netha.hussain@gu.se

Sixty-seven participants with moderate (32–57 points) or mild (58–65 points) stroke impairment as assessed with Fugl-Meyer Assessment for Upper Extremity were included from the Stroke Arm Longitudinal study at the University of Gothenburg—SALGOT cohort of non-selected individuals within the first year of stroke. The stroke groups and 43 healthy controls performed the target-to-target pointing task, where 32 circular targets appear one after the other and disappear when pointed at by the haptic handheld stylus in a three-dimensional VR environment. The kinematic parameters captured by the stylus included movement time, velocities, and smoothness of movement. This repository contains the code for calculating and analysing kinematic data.

##################All work under this project is shared under CC0.#########################


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This project is released into the public domain under the CC0 1.0 Universal (CC0 1.0) Public Domain Dedication.

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Assessment of upper limb function in individuals with stroke using virtual reality technique

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