Deans' stroke musings: Quantification of Upper-Limb Motor Function for Stroke Rehabilitation Through Manifold Similarity of Muscle Synergy

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, January 12, 2024

Quantification of Upper-Limb Motor Function for Stroke Rehabilitation Through Manifold Similarity of Muscle Synergy

I have no clue. Ask your competent? doctor how this is going to get you 100% recovered. I consider assessments worthless unless they point directly to the EXACT STROKE REHAB PROTOCOLS that get you recovered!

Quantification of Upper-Limb Motor Function for Stroke Rehabilitation Through Manifold Similarity of Muscle Synergy

Abstract:

Quantifying post-stroke patient motor function is important for assessing rehabilitation progress and optimizing the behavior of adaptive rehabilitation robots. To this end, researchers have increasing turned to the concept of muscle synergies, which encodes the simplified neuromuscular control strategy employed by the central nervous system in response to post-stroke impairment. In essence, the assessment metrics should possess two key attributes: the ability to differentiate between individuals in the pathological and healthy groups, and the capacity to yield consistent measurements within the same individual, thereby facilitating the refinement of adaptive control algorithms. Recent findings have indicated that employing manifold similarity measurements can enhance the class separability and intra-class compactness for the classification/clustering algorithm. Consequently, we hypothesize that evaluating synergy and synergy activation similarities, while considering the underlying manifold structure, will render a more sensitive and reliable approach for quantifying motor function in post-stroke patients. To validate our hypothesis, we conducted a study involving twenty healthy subjects and ten post-stroke patients. Our results demonstrate that the utilization of manifold similarities leads to superior outcomes compared to conventional metrics based on muscle synergy. Specifically, we observed higher sensitivity ( gw v.s. Sw , 0.0457 v.s. 0.0030 ), greater intra-subject reliability ( gc v.s. Sc , 0.6060 v.s. 0.1081 ), and stronger correlations with clinical scores ( gw v.s. Sw , 0.7588 v.s. 0.6249 ) than conventional metrics. Therefore, the proposed similarity metrics may be promising for transferring to adaptive control of rehabilitation robots.

Published in: IEEE Robotics and Automation Letters ( Early Access )