Deans' stroke musings

Changing stroke rehab and research worldwide now.Time is Brain!Just think of all the trillions and trillions of neurons that DIE each day because there are NO effective hyperacute therapies besides tPA(only 12% effective). I have 493 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:

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's quite disgusting that this information is not available from every stroke association and doctors group.
My back ground story is here:

Wednesday, July 19, 2017

A personalized rehabilitation algorithm helps stroke patients walk again

While great I can only see this being purchased by large stroke hospitals. How will your small hospital replicate this for you? I hate it when they use normal people to demonstrate tech for stroke survivors.
Credit: Mignardot et al., Science Translational Medicine (2017)
Scientists have developed an algorithm for a robot-assistive rehabilitation approach that helps people learn to walk again after neurological injuries. Their method is now under investigation in a clinical trial, and may offer better outcomes for patients undergoing rehabilitation. Rehabilitation programs for spinal cord injuries or strokes usually involves many hours of supported walking on treadmills at steady pre-defined paces, but everyday life requires individuals to move around in all directions and vary their gaits. Seeking an alternative to current support systems for the upper torso that merely act as rigid upward props, Jean-Baptiste Mignardot and colleagues used a robotic harness that helped resist the downward force of gravity while also allowing subjects to walk forwards, backwards, and side-to-side, coupled with an algorithm that provided personalized support to address patient-specific motor defects. The system was controlled by an artificial neural network that varied the amount of upward and forward force through a cable harness based on information about 120 different variables related to body movement. Wearing the harness allowed 26 participants recovering from spinal cord injuries or strokes to walk with motor abilities comparable to healthy individuals. What's more, one hour of overground training with the harness and algorithm led to significant improvements in unsupported walking ability for five patients with spinal cord injury, whereas the same amount of time on a treadmill actually impaired locomotion in one subject. The authors say their results establish a practical framework to apply these concepts in clinical routines.

video at link.

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