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.

Saturday, September 14, 2024

Using large-scale sensor data to test factors predictive of perseverance in home movement rehabilitation: Early exercise frequency and schedule consistency

My conclusion is you don't understand ONE GODDAMN THING ABOUT SURVIVOR MOTIVATION, DO YOU? You create EXACT 100% recovery protocols and your survivor will be motivated to do the millions of reps needed because they are looking forward to 100% recovery. GET THERE!

There would be no need for useless research on perseverance!

 Using large-scale sensor data to test factors predictive of perseverance in home movement rehabilitation: Early exercise frequency and schedule consistency

IEEE Transactions on Neural Systems and Rehabilitation Engineering.

NARIC Accession Number: J94137. What's this?
Author(s): Kim, Sangjoon J., Swanson, Veronica A., Collier, George H., Rabinowitz, Amanda R., Zondervan, Daniel K., Reinkensmeyer, David J..
Publication Year: 2024.
Abstract: Study investigated whether weekly exercise frequency and schedule consistency (in terms of which days of the week exercises are performed) predict home exercise perseverance after stroke. Data were collected from 2,583 users of a sensor-based home rehabilitation system designed specifically for individuals with a stroke to motivate movement exercises at home. Researchers grouped users based on their early exercise frequency (defined across the initial 6 weeks of use) and calculated the evolution of habit score (defined as exercise frequency multiplied by exercise duration) across 6 months. Results showed that habit score decayed exponentially over time but with a slower decay constant for individuals with higher early frequency. Only the group with an early exercise frequency of 4 or more days per week had non-zero habit score at six months. Within each frequency group, dividing individuals into higher and lower consistency subgroups revealed that the higher consistency subgroups had significantly higher habit scores. These results are consistent with previous studies on habit formation in exercise and may help in designing effective home rehabilitation programs after stroke.
Descriptor Terms: BEHAVIOR, BODY MOVEMENT, COMPLIANCE, ELECTRONICS, EXERCISE, HOME BASED, MOBILITY, MOTOR SKILLS, STROKE.


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Citation: Kim, Sangjoon J., Swanson, Veronica A., Collier, George H., Rabinowitz, Amanda R., Zondervan, Daniel K., Reinkensmeyer, David J.. (2024.) Using large-scale sensor data to test factors predictive of perseverance in home movement rehabilitation: Early exercise frequency and schedule consistency. IEEE Transactions on Neural Systems and Rehabilitation Engineering. Retrieved 9/14/2024, from REHABDATA database.

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