首页|Data on Robotics Reported by Andrzej Michnik and Colleagues (Multivariate analys is of the kinematics of an upper limb rehabilitation robot)
Data on Robotics Reported by Andrzej Michnik and Colleagues (Multivariate analys is of the kinematics of an upper limb rehabilitation robot)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Robotics is the subjec t of a report. According to news reporting out of Zabrze, Poland, by NewsRx edit ors, research stated, “The purpose of this work is to present a multivariate ana lysis of the kinematics of an upper limb rehabilitation robot. Comparing multipl e concepts of kinematic chains makes it possible to identify advantages and disa dvantages and, as a consequence, choosing the optimal solution to create a physi cal device.” Our news journalists obtained a quote from the research, “Such actions shall con tribute towards automation of the rehabilitation process, bringing benefits to b oth therapists and patients in comparison with conventional rehabilitation. Mult ivariate analysis of kinematics was performed on the basis of three concepts of the kinematic chain of an exoskeleton, enabling the rehabilitation of both right and left upper limb within the area of the shoulder joint, elbow joint and wris t. The kinematic chain allows the performance of simple and complex movements. T he results of the conducted multivariate kinematic analysis define specific move ments and angular ranges, which may be performed while applying one of the propo sed concepts of the robot design. The results made it possible to determine the optimum solution to the kinematic diagram and construction design, which best sa tisfy the expectations for effective rehabilitation. The analysis of the kinemat ic diagram concept of the exoskeleton should be done in relation to its design ( construction form). Considering the obtained parameters, it is necessary to find an optimum concept and wisely manoeuvre the values, in order to avoid a situati on in which one significant parameter influences another, equally important one. ”
ZabrzePolandEuropeEmerging Technol ogiesHealth and MedicineKinematic ChainsMachine LearningRehabilitationRobotRobotics
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