End-point kinematics using virtual reality explaining upper limb impairment and activity capacity in stroke.
Netha Hussain, Katharina S Sunnerhagen, Margit Alt Murphy
PMID 31262320WHAT IT FOUND
Movement speed and smoothness from a virtual pointing task tracked some upper limb impairment and activity capacity after stroke, but only partly matched standard clinical scores.
Use them as added information, not as a replacement.
Key findings
01Mean velocity and number of velocity peaks together explained 16% of FMA-UE upper limb impairment score.
02Movement time explained 13% and number of velocity peaks explained 10% of ARAT activity capacity score.
03Age, side of the paretic arm, time since stroke and stroke severity did not significantly influence the final models.
STILL TO COME
How it was doneWhat they foundWhat it means for PTsWhat it means for OTs
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What it does not show
Only people with enough arm function to perform the pointing task were included, so the findings do not describe people with severe upper limb impairment. The haptic device could not separate trunk movement from arm movement. The virtual workspace was small compared with the shoulder movements tested by FMA-UE. The pointing task required speed and accuracy, while many FMA-UE and ARAT tasks are self-paced or object-based. The study is observational, so associations do not show that kinematics cause or replace clinical scores. Participants were tested at different times after stroke, and the analysis used only the first available pointing session.
Declared interests
The work was funded by Vetenskapsrådet. The article does not provide an additional conflict of interest declaration.
The easy way to misread this
Do not conclude that a virtual pointing task can replace FMA-UE or ARAT. The kinematic variables explained only part of the clinical scores, and the study included only people with mild to moderate impairment.