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RRG1-16003

​​Wristbot: A Novel Device for Assessment of Proprioceptive Deficits after Stroke
​Research Programmes Precision Rehabilitation​​
​Clinical PI Dr CHUA Sui Geok Karen
Senior Consultant, Rehabilitation Medicine
Tan Tock Seng Hospital
​Technical PI ​A/Prof Domenico CAMPOLO
Associate Professor, School of Medical & Aerospace Engineering
Assistant Chair (Research)


Upper limb impairment after stroke affect the ~66% of survivors and only ~40% regains partial functional dexterity after rehabilitation. Proprioceptive (body awareness) deficits are also in ~37% of subjects negatively impacting therapy efficacy on motor recovery. Robot Aided rehabilitation is a widely accepted method with potential to reduce motor impairments, but sensory assessment has been never considered and targeted. Emerging evidences suggest that assessment of proprioception may improve the rehabilitation efficacy and better target the therapy leading to more tangible results at discharge.

 

WristBot is a robotic system designed to perform objective assessment of sesnory-motor deficits of the wrist. It has been validated in several clinical trials, including chronic stroke patients. Its unique feature employs a newly conceived methodology to achieve intensive, task specific protocols and accurately quantify the proprioceptive impairment.

 

We will test the WristBot to assess proprioception in a sample of 50 acute / subacute strokes with arm motor impairments during inpatient rehabilitation, and determine any correlations between standardised motor, sensory and functional outcomes pre/post inpatient rehabilitation programme and at 1-month post discharge.

 

The hypotheses are that WristBot can safely and quickly objectify sensory deficits on admission and track changes across therapy with higher sensitivities than standardised tools, providing the clinical personnel with an accurate quantification of the sensory motor deficits across the therapy.

 

Study methodology uses a prospective, clinical trial on stroke patients, with clinical, functional and WristBot measurements taken at 3 fixed time points: results will be used to improve the platform and the proposed methodology.​

 

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