Changing stroke rehab and research worldwide now.Time is Brain! trillions and trillions of neurons that DIE each day because there are NO effective 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.

Monday, May 9, 2016

Robotics-based intelligent therapy for stroke victims

2nd year Ph.D students doing more than all the stroke association employees combined. And you wonder why stroke survivors think stroke associations are complete pieces of shit.
http://medicalxpress.com/news/2016-05-robotics-based-intelligent-therapy-victims.html
Rana Soltani and Amin Zeiaee, both second-year Ph.D. students in the Department of Mechanical Engineering at Texas A&M University, are developing an intelligent rehabilitation device that will provide automated therapy to stroke patients to expedite their recovery. Sungtae Shin, a fifth-year Ph.D. candidate in the same research group, is working on using biosignals to recognize human hand gestures. This technology has various applications in entertainment systems, robotics and rehabilitation devices.
Soltani and Zeiaee recognize that treatment for stroke victims or others with limited mobility is very expensive and inadequate due to limited number of therapists and short therapy sessions. Also, treatment is only available outside of the home at a medical or rehabilitation facility.
"Therapy must be very repetitive and intensive to be effective and we want to develop a robot that can improve the quality of training for patients and assist the therapists," said Zeiaee.
The device would train the arm for activities of daily living, such as brushing one's teeth, eating, brushing hair, cleaning a surface and more.
"As motor abilities of a patient improve, the robot adaptively adjusts the provided support," said Soltani. "It will be a robot collaborating with a human."
The two also intend to involve virtual reality and gaming into a patient's utilization of the device, making therapy a more engaging and pleasant activity.
A year-out, early project goals include fabrication of the device, obtaining patents and testing the device on stroke patients in Qatar clinics.
Device ergonomics and intelligence are expected to rival any competition. With the ultimate goal of making this an in-home system that is affordable to anyone, the team is searching ways to make the device more compact and lightweight.
A future goal of the team is the incorporation of intention detection methods into the . Shin's current research on processing biosignals is a possibility for this goal. To demonstrate the viability of using biosignals for the control of robots, Shin has developed a system.
"Collected biosignals and orientation information of the forearm—from the MyoTM armband—are used to manipulate the robot arm. Moreover, hand gestures such as finger snapping can be recognized by interpreting the biosignals and can then be used to control a arm," said Shin, while performing a demonstration with the apparatus he has developed.
Provided by: Texas A&M University search and more info

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