Deans' stroke musings: Influence of skill and exercise training parameters on locomotor recover during stroke rehabilitation

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.

Friday, March 10, 2017

Influence of skill and exercise training parameters on locomotor recover during stroke rehabilitation

Basically saying we don't know what the fuck we are doing to get you recovered.
http://search.naric.com/research/rehab/redesign_record.cfm?search=2&type=all&criteria=J75314&phrase=no&rec=132743&article_source=Rehab&international=0&international_language=&international_location=
Current Opinion in Neurology , Volume 29(6) , Pgs. 677-683.

NARIC Accession Number: J75314. What's this?
Author(s): Hornby, T. George; Moore, Jennifer L.; Lovell, Linda; Roth, Elliot J..
Project Number: H133B031127.
Publication Year: 2016.
Number of Pages: 7.
Abstract: This review details the rationale for some specific training parameters that can be manipulated during physical rehabilitation and their application in selected intervention studies focused on improving walking function in patients with stroke. Basic and applied studies from the fields of motor learning and exercise physiology have shown that the amount, intensity, and variability of specific task practice applied during rehabilitation interventions can affect recovery of walking poststroke. Many studies detailing the effects of conventional, therapist, and mechanically assisted interventions may incorporate some of these training parameters but minimize others, and their relative contributions may influence walking outcomes. Specific patient factors, such as the stroke acuity and degree of impairments, appear to influence the relative contributions of these training variables, and different patient subgroups may benefit from greater emphasis on specific parameters. The findings suggest these training parameters should be considered when evaluating or implementing physical interventions directed toward improving locomotor function following stroke. More work is needed to understand their optimal combinations to maximize walking outcomes in patients with different levels of poststroke impairment.
Descriptor Terms: AMBULATION, EXERCISE, HEALTH PROMOTION, INTERVENTION, MOBILITY TRAINING, MOTOR SKILLS, PHYSICAL THERAPY, SERVICE DELIVERY, STROKE.

Can this document be ordered through NARIC's document delivery service*?: Y.

Citation: Hornby, T. George, Moore, Jennifer L., Lovell, Linda, Roth, Elliot J.. (2016). Influence of skill and exercise training parameters on locomotor recover during stroke rehabilitation. Current Opinion in Neurology , 29(6), Pgs. 677-683. Retrieved 3/10/2017, from REHABDATA database.