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 7, 2025

Predicting Gait Outcomes in Stroke Rehabilitation: The Contribution of Balance Control

 

Are you that blitheringly stupid? Survivors don't want predictions; they want EXACT RECOVERY PROTOCOLS! Right now, stroke rehab is a complete failure; 10% full recovery! Why aren't you solving that problem? Predictions are fucking lazy crapola; YOU'RE FIRED!

Predicting Gait Outcomes in Stroke Rehabilitation: The Contribution of Balance Control


https://doi.org/10.1016/j.gaitpost.2025.07.165Get rights and content

Introduction

Chronic stroke survivors often experience gait impairments due to residual motor deficits, affecting their functional mobility and independence. Balance, as measured by the Berg Balance Scale (BBS), plays a critical role in walking ability. Gait dysfunction in stroke survivors is commonly characterized by reduced walking speed, asymmetrical step patterns, and altered temporal parameters, which can hinder community ambulation. Understanding the interplay between balance and gait parameters is essential for optimizing rehabilitation strategies aimed at enhancing stroke mobility. Several studies have explored the relationship between BBS scores and various gait parameters in stroke, consistently showing associations between balance and walking performance. However, despite these associations, there is a lack of research investigating whether BBS can predict specific spatiotemporal gait parameters. This study aims to examine the extend to which balance, as measured by BBS, predict key spatiotemporal gait parameters, including step length, step width, step time, cadence, gait speed, and gait symmetry, in chronic stroke survivors.

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