Med Biol Eng Comput - Quantitative evaluation of upper-limb motor control in robot-aided rehabilitation.


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This paper is focused on the multimodal analysis of patient performance, carried out by means of robotic technology and wearable sensors, and aims at providing quantitative measure of biomechanical and motion planning features of arm motor control following rehabilitation. Upper-limb robotic therapy was administered to 24 community-dwelling persons with chronic stroke. Performance indices on patient motor performance were computed from data recorded with the InMotion2 robotic machine and a magneto-inertial sensor. Motor planning issues were investigated by means of techniques of motion decomposition into submovements. A linear regression analysis was carried out to study correlation with clinical scales. Robotic outcome measures showed a significant improvement of kinematic motor performance; improvement of dynamic components was more significant in resistive motion and highly correlated with MP. The analysis of motion decomposition into submovements showed an important change with recovery of submovement number, amplitude and order, tending to patterns measured in healthy subjects. Preliminary results showed that arm biomechanical functions can be objectively measured by means of the proposed set of performance indices. Correlation with MP is high, while correlation with FM is moderate. Features related to motion planning strategies can be extracted from submovement analysis.

Resumo Limpo

paper focus multimod analysi patient perform carri mean robot technolog wearabl sensor aim provid quantit measur biomechan motion plan featur arm motor control follow rehabilit upperlimb robot therapi administ communitydwel person chronic stroke perform indic patient motor perform comput data record inmot robot machin magnetoinerti sensor motor plan issu investig mean techniqu motion decomposit submov linear regress analysi carri studi correl clinic scale robot outcom measur show signific improv kinemat motor perform improv dynam compon signific resist motion high correl mp analysi motion decomposit submov show import chang recoveri submov number amplitud order tend pattern measur healthi subject preliminari result show arm biomechan function can object measur mean propos set perform indic correl mp high correl fm moder featur relat motion plan strategi can extract submov analysi

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