It's actually vastly more important to fix these impairments than quantify them. Solve the correct problem!
A robot-based interception task to quantify upper limb impairments in proprioceptive and visual feedback after stroke
Journal of NeuroEngineering and Rehabilitation. Volume 20(137)
NARIC Accession Number: J93143. What's this?
Author(s): Park, Kayne, Ritsma, Benjamin R., Dukelow, Sean P., Scott, Stephen H..
Publication Year: 2023.
Abstract: Study developed a novel robotic task to quantify rapid feedback processing in healthy controls and compared this performance with individuals with stroke to (more) efficiently identify impairments in rapid feedback processing. A total of 135 healthy controls and 40 individuals with stroke were evaluated in the Fast Feedback Interception Task (FFIT) using the Kinarm Exoskeleton robot. Participants were instructed to intercept a circular white target moving towards them with their hand represented as a virtual paddle. On some trials, the arm could be physically perturbed, the target or paddle could abruptly change location, or the target could change color requiring the individual to now avoid the target. Most participants with stroke were impaired in reaction time and end-point accuracy in at least one of the task conditions, most commonly with target or paddle shifts. Of note, this impairment was also evident in most individuals with stroke when performing the task using their unaffected arm. Comparison with upper-limb clinical measures identified moderate correlations with the FFIT. The FFIT was able to identify a high proportion of individuals with stroke as impaired in rapid feedback processing using either the affected or unaffected arms. The task allows many different types of feedback responses to be efficiently assessed in a short amount of time.
Descriptor Terms: FEEDBACK, LIMBS, MOTOR SKILLS, REHABILITATION TECHNOLOGY, ROBOTICS, STROKE, TASK ANALYSIS.
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Get this Document: https://jneuroengrehab.biomedcentral.com/articles/10.1186/s12984-023-01262-0(link is external).
Citation: Park, Kayne, Ritsma, Benjamin R., Dukelow, Sean P., Scott, Stephen H.. (2023.) A robot-based interception task to quantify upper limb impairments in proprioceptive and visual feedback after stroke. Journal of NeuroEngineering and Rehabilitation., 20(137) Retrieved 1/30/2024, from REHABDATA database.
NARIC Accession Number: J93143. What's this?
Author(s): Park, Kayne, Ritsma, Benjamin R., Dukelow, Sean P., Scott, Stephen H..
Publication Year: 2023.
Abstract: Study developed a novel robotic task to quantify rapid feedback processing in healthy controls and compared this performance with individuals with stroke to (more) efficiently identify impairments in rapid feedback processing. A total of 135 healthy controls and 40 individuals with stroke were evaluated in the Fast Feedback Interception Task (FFIT) using the Kinarm Exoskeleton robot. Participants were instructed to intercept a circular white target moving towards them with their hand represented as a virtual paddle. On some trials, the arm could be physically perturbed, the target or paddle could abruptly change location, or the target could change color requiring the individual to now avoid the target. Most participants with stroke were impaired in reaction time and end-point accuracy in at least one of the task conditions, most commonly with target or paddle shifts. Of note, this impairment was also evident in most individuals with stroke when performing the task using their unaffected arm. Comparison with upper-limb clinical measures identified moderate correlations with the FFIT. The FFIT was able to identify a high proportion of individuals with stroke as impaired in rapid feedback processing using either the affected or unaffected arms. The task allows many different types of feedback responses to be efficiently assessed in a short amount of time.
Descriptor Terms: FEEDBACK, LIMBS, MOTOR SKILLS, REHABILITATION TECHNOLOGY, ROBOTICS, STROKE, TASK ANALYSIS.
Can this document be ordered through NARIC's document delivery service*?: Request Information.
Get this Document: https://jneuroengrehab.biomedcentral.com/articles/10.1186/s12984-023-01262-0(link is external).
Citation: Park, Kayne, Ritsma, Benjamin R., Dukelow, Sean P., Scott, Stephen H.. (2023.) A robot-based interception task to quantify upper limb impairments in proprioceptive and visual feedback after stroke. Journal of NeuroEngineering and Rehabilitation., 20(137) Retrieved 1/30/2024, from REHABDATA database.
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