2013 IEEE 13th International Conference on Rehabilitation Robotics (ICORR) 2013
DOI: 10.1109/icorr.2013.6650494
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Assessment of upper limb motor function in patients with multiple sclerosis using the Virtual Peg Insertion Test: A pilot study

Abstract: Quantifying and tracking upper limb impairment is of key importance to the understanding of disease progress, establishing patient-tailored therapy protocols and for optimal care provision. This paper presents the results of a pilot study on the assessment of upper limb motor function in patients with multiple sclerosis (MS) with the Virtual Peg Insertion Test (VPIT). The test consists in a goal-directed reaching task using a commercial haptic display combined with an instrumented handle and virtual environmen… Show more

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Cited by 31 publications
(26 citation statements)
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“…This hypothesis was evaluated in 30 chronic post-stroke subjects. Twenty-three of these, the ones with mild to moderate sensorimotor impairments and without strong cognitive deficits, were able to successfully complete the goal-directed manipulation task protocol with their most affected body side, thereby confirming previous reports about the feasibility of such tasks in individuals with mild to moderate neurological deficits [30,32,55].…”
Section: Discussionsupporting
confidence: 83%
See 1 more Smart Citation
“…This hypothesis was evaluated in 30 chronic post-stroke subjects. Twenty-three of these, the ones with mild to moderate sensorimotor impairments and without strong cognitive deficits, were able to successfully complete the goal-directed manipulation task protocol with their most affected body side, thereby confirming previous reports about the feasibility of such tasks in individuals with mild to moderate neurological deficits [30,32,55].…”
Section: Discussionsupporting
confidence: 83%
“…FMA-UE scores for the most affected and less affected sides were 49 [32,40,57,61] and 65 [56,63,66,66], respectively. ARAT scores for the most affected and less affected sides were 47 [30,39,55,57] and 57 [45,57,57,57] , respectively. Detailed subject characteristics can be found in Table SM4.…”
Section: Resultsmentioning
confidence: 98%
“…These outcomes are calculated automatically, and gathering such quantitative performance data provides an opportunity to perform indepth post hoc analyses of performance patterns. For example, it is possible to gain insights about whether manual dexterity abnormalities are related to grasping, transporting, or releasing [21]. In a prospective clinical validation study that enrolled 51 patients with MS and 49 healthy individuals, data captured with the MSPT app compared favorably with those captured by technicians, and patients reported a high level of acceptance of the tool [20].…”
Section: Screening and Assessmentmentioning
confidence: 99%
“…The feasibility of the VPIT has been successfully tested in pilot studies with healthy subjects 23 and neurological patients. 22,[24][25][26] However, a computational framework providing a complete and objective assessment of sensorimotor profiles based on kinematic and kinetic data still needs to be defined.…”
Section: Introductionmentioning
confidence: 99%