Use the labels in the right column to find what you want. Or you can go thru them one by one, there are only 29,294 posts. Searching is done in the search box in upper left corner. I blog on anything to do with stroke. DO NOT DO ANYTHING SUGGESTED HERE AS I AM NOT MEDICALLY TRAINED, YOUR DOCTOR IS, LISTEN TO THEM. BUT I BET THEY DON'T KNOW HOW TO GET YOU 100% RECOVERED. I DON'T EITHER BUT HAVE PLENTY OF QUESTIONS FOR YOUR DOCTOR TO ANSWER.
Changing stroke rehab and research worldwide now.Time is Brain!trillions and trillions of neuronsthatDIEeach day because there areNOeffective hyperacute therapies besides tPA(only 12% effective). I have 523 posts on hyperacute therapy, enough for researchers to spend decades proving them out. These are my personal ideas and blog on stroke rehabilitation and stroke research. Do not attempt any of these without checking with your medical provider. Unless you join me in agitating, when you need these therapies they won't be there.
What this blog is for:
My blog is not to help survivors recover, it is to have the 10 million yearly stroke survivors light fires underneath their doctors, stroke hospitals and stroke researchers to get stroke solved. 100% recovery. The stroke medical world is completely failing at that goal, they don't even have it as a goal. Shortly after getting out of the hospital and getting NO information on the process or protocols of stroke rehabilitation and recovery I started searching on the internet and found that no other survivor received useful information. This is an attempt to cover all stroke rehabilitation information that should be readily available to survivors so they can talk with informed knowledge to their medical staff. It lays out what needs to be done to get stroke survivors closer to 100% recovery. It's quite disgusting that this information is not available from every stroke association and doctors group.
Wednesday, August 19, 2015
Limb Rehabilitation Robot Successfully Tested with Maplesoft Simulation
Robotic
rehabilitation machines are often used in clinical settings to help
exercise patients’ limbs after damaging experiences such as stroke. One
of the hardest things to test when building a rehabilitation robot,
though, is how it will most effectively interact with a patient.
Researchers at the University of Waterloo created a musculoskeletal
model of the humaA 2D rendition of the arm model used to test the University of Waterloo's rehabilitation robot. Image credit: Maplesoftn
arm that can replicate the human action experienced by an upper limb
rehabilitation robot, allowing the people designing and developing the
robot to take human interaction into account.
Researchers Boma Ghannadi and Dr. John McPhee modeled an end-effector
based planar robot using Maplesoft’s MapleSim. The robot performs
reaching movements in the horizontal plane, replicating the type of
movements a human patient would be asked to perform during therapy of
the shoulder and elbow. The arm model replicates a simplified planar 2D
musculoskeletal arm model with two hinged links and six muscles, and
assumes no tendon compliance. Using an impedance controller, the
simulated model can adjust itself to replicate either a healthy arm or
the variable levels of movement disorders that may affect rehab
patients.
The two modes which stimulated a healthy arm were used to calibrate
and tune the controller, while the two modes which replicated a
post-stroke patient’s arm were used to evaluate its performance.
Hand position error and muscle activation levels were measured during
the simulation. Thanks to the positive results, the team demonstrated
that it was possible to evaluate the planar robot using musculoskeletal
arm models.
The team chose between several simulation tools from multiple vendors before deciding to use MapleSim.
“Taking into account simulation times and quality of results,
MapleSim, because of its symbolic computation technology together with
optimized code generation, performed better than the other software
platforms,” said McPhee.
Next, the researchers will build a working 3D musculoskeletal arm model with integrated muscle wrapping.
The robot is tested in partnership with Toronto Rehabilitation Institute (TRI) and Quanser Inc.
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