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An exploratory clinical study on a Variable Speed and Sensing Treadmill system(VASST) for hemiparetic gait rehabilitation after stroke.
Building upon the positive results of VASST I conducted in 2012, VASST II will be an open label pilot trial of 11 subjects screened for eligibility by TTSH medical and rehabilitation team Study hypotheses : Training on VASST may result in a gain of +40% - 50% for distance walked and +10-20% of gait speed compared to baseline and response rate of 85% and serious adverse event rate of <10%.
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A recent collaboration with Ngee Ann Polytechnic's team from the Biomedical Engineering Centre, Electronic & Computer Engineering Division, School Of Engineering Singapore yielded the VASST I; an innovative product, the result of co development between NP and TTSH rehabilitation centre's CART (Centre for Advanced Rehabilitation Therapeutics) was supported by a competitive grant. (EMBC paper ref, SIRF)
VASST I incorporates the following features which enhance manual treadmill training:
A recently completed proof of concept trial in June 2013 yielded encouraging results in 10 chronic poststroke hemiplegic subjects. All subjects completed the trial without any adverse events. The clinical team was able to smoothly test-bed VASST in 10 subjects with good subjective feedback. Following 12 hour - long supervised training sessions over 4 weeks, there were significant gains from baseline for measures of gait quantity (+30.1%) and gait speed (+8.7%). These gains were maintained for up to 4 weeks after training ceased. The response rate was 80% and positive feedback was obtained in 80% of subjects. Objective measurements were obtained using independent kinematic gait analysis using the Gaitrite system.
With these encouraging results, the combined TTSH and Ngee Ann medical and bioengineering teams have brought the co-development to a deeper level, leading to VASST II which is conceptualized as a pre-commercialisation prototype.
Additional technological improvements include:
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11 participants in 1 patient group
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Data sourced from clinicaltrials.gov
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