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.

Sunday, September 3, 2017

A Novel Nonlinear Dynamic Method for Stroke Rehabilitation Effect Evaluation using EEG

I can see nothing here that will help survivors get to 100% recovery.  Useless.
http://ieeexplore.ieee.org/abstract/document/8016662/?reload=true
Hong Zeng ; Guojun Dai ; Wanzeng Kong ; Fangyue Chen ; Luyun Wang
Abstract:
Evaluating the effect of stroke rehabilitation based on electroencephalogram (EEG) is still a challenging problem. This paper presents a novel nonlinear dynamic complexity method for the evaluation of stroke rehabilitation effect from EEG signal. Our method calculates the nonlinearly separable degree (NLSD) of EEG signal, and then employs an indicator, called Mean Nonlinearly Separable complexity Degree (Mean_NLSD), to efficiently and accurately evaluate therapy effect of stroke patients. Our study under twelve stimuli conditions on eleven patients and eleven control subjects indicates that in general Mean_NLSD is smaller at the lesion regions and that the Mean_NLSD of the control subjects is stochastic. Compared with conventional spectral methods such as mean Power Spectral Density (PSD), Mean_NLSD is more sensitive and robust. Overall Mean_NLSD may offer a promising approach to facilitate the evaluation of stroke rehabilitation effect.
Published in: IEEE Transactions on Neural Systems and Rehabilitation Engineering ( Volume: PP, Issue: 99 )
Page(s): 1 - 1
Date of Publication: 25 August 2017
ISSN Information:
DOI: 10.1109/TNSRE.2017.2744664
Publisher: IEEE
Sponsored by: IEEE Engineering in Medicine and Biology Society
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