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, December 13, 2015

Detecting intention to walk in stroke patients from pre-movement EEG correlates

I'm sure our fucking failures of stroke associations will not match up BCIs already out there to see what stroke protocol should be created. You had better be rich so you can hire your own team of researchers to figure out how to use this in stroke rehab. NOONE is going to do this for you. You're screwed, your children are screwed, your grandchildren are screwed, unless YOU pay it foward by repurposing stroke associations for survivors.
http://jneuroengrehab.biomedcentral.com/articles/10.1186/s12984-015-0087-4
  • Andreea Ioana SburleaEmail author,
  • Luis Montesano,
  • Roberto Cano de la Cuerda,
  • Isabel Maria Alguacil Diego,
  • Juan Carlos Miangolarra-Page and
  • Javier Minguez
Journal of NeuroEngineering and Rehabilitation201512:113
DOI: 10.1186/s12984-015-0087-4
©  Sburlea et al. 2015
Received: 29 April 2015
Accepted: 23 October 2015
Published: 12 December 2015


Abstract

Background

Most studies in the field of brain-computer interfacing (BCI) for lower limbs rehabilitation are carried out with healthy subjects, even though insights gained from healthy populations may not generalize to patients in need of a BCI.

Methods

We investigate the ability of a BCI to detect the intention to walk in stroke patients from pre-movement EEG correlates. Moreover, we also investigated how the motivation of the patients to execute a task related to the rehabilitation therapy affects the BCI accuracy. Nine chronic stroke patients performed a self-initiated walking task during three sessions, with an intersession interval of one week.

Results

Using a decoder that combines temporal and spectral sparse classifiers we detected pre-movement state with an accuracy of 64 % in a range between 18 % and 85.2 %, with the chance level at 4 %. Furthermore, we found a significantly strong positive correlation (r = 0.561, p = 0.048) between the motivation of the patients to perform the rehabilitation related task and the accuracy of the BCI detector of their intention to walk.

Conclusions

We show that a detector based on temporal and spectral features can be used to classify pre-movement state in stroke patients. Additionally, we found that patients’ motivation to perform the task showed a strong correlation to the attained detection rate of their walking intention.
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