Saturday, July 26, 2014

Kinematic Analysis of a Novel Exoskeleton Finger Rehabilitation Robot for Stroke Patients

Since fingers are one of the hardest things to recover you will have to insist your doctor analyzes this with the therapists to come up with a stroke protocol for your hand recovery. You will have to hope that out of the thousands of doctors doing this that your doctor is the one intelligent enough to figure out the exact correct protocol on the first try. Good luck with that.

It is only 6 pages long and has names and email addresses for easy communication with the writers.

Kinematic Analysis of a Novel Exoskeleton Finger Rehabilitation Robot for Stroke Patients

Abstract

–The exoskeleton robot technology is more and
more used in the assisting stroke patients in implementing
rehabilitation training. In this paper, a novel exoskeleton finger
robot has been described to aim at helping varieties of
hemiparalysis patients recover motor function. The robot system
adopts the EEG control and mainly consists of exoskeleton finger
robot, EEG system, HMI system, motor controllers unit, some
sensors and a workstation. And the hand exoskeleton mechanism
is portable, wearable and adjustable for patients doing home
rehabilitation training. Base on the Denavit-Hartenberg (DH)
parameters method, the kinematic model of finger has built to be
used in designing the robot. Through the simulation software
ADAMS (Automatic Dynamic Analysis of Mechanical Systems),
the parameters of position, velocity and acceleration (PVA) in
each joint are simulated. From the result, it can view that the
robot has high movement ability to finish the Continuous Passive
Motion (CPM). Besides, a comparison test is done to study
whether there are some motion blocks in wearing exoskeleton
robot. Form the curve figure, in the two situations, the angle
range of the MCP (metacarpaophalangeal) joint is equal, which
verifies the interference of robot is small. These experiments
demonstrate the exoskeleton can provide high efficiency
movement ability for stroke doing the rehabilitation. In the
future, with the optimization design, the robot will improvement
and has a bright application prospect in the rehabilitation field. 


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