Kinect-based assessment of proximal arm non-use after a stroke.
K K A Bakhti, I Laffont, M Muthalib and 2 others
PMID 30428896WHAT IT FOUND
A marker-less Kinect sensor measured proximal arm non-use in stroke survivors with good accuracy compared to a reference system.
It reliably tracked shoulder and elbow movement reserve, offering a low-cost, easy-to-set-up alternative for clinical assessment.
Key findings
01Kinect measurements of proximal arm non-use scores were strongly correlated with the reference system (ICC = 0.96), with a small average underestimation of 0.37.
02The Kinect sensor showed good test-retest reliability for these scores (ICC = 0.76), though scores systematically decreased in the second session, likely due to a practice effect.
03Kinect-derived joint angles indicated that proximal arm non-use was primarily associated with the inability to extend the elbow, not the shoulder.
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
The sample size was small (19 participants). The study only compared the Kinect to one reference system (CMS20s). The participants did not represent the full range of deficits seen after stroke. The task was limited to horizontal forward reaching. Joint angles were only measured by the Kinect, so there was no reference system to validate the accuracy of these specific angle measurements.
Declared interests
Funded by the French Ministère des Affaires Sociales et de la Santé.
The easy way to misread this
Do not assume the Kinect is accurate for all movement metrics. While it measured the PANU score and movement time well, it was poor at tracking the number of velocity peaks (ICC = 0.34), and its joint angle measurements lacked a direct reference comparison.