Deans' stroke musings: Computer-Assisted Assessment of Rehabilitation Progress in Stroke Patients: A Fuzzy Cognitive Map-Based Approach

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.

Wednesday, March 18, 2026

Computer-Assisted Assessment of Rehabilitation Progress in Stroke Patients: A Fuzzy Cognitive Map-Based Approach

What will it take to get thru your thick skulls that 'assessments' do nothing for recovery unless THEY POINT DIRECTLY TO EXACT RECOVERY PROTOCOLS?

This did nothing towards that, so useless!

Computer-Assisted Assessment of Rehabilitation Progress in Stroke Patients: A Fuzzy Cognitive Map-Based Approach

Fernández Gregorio,

Montané-Jiménez, Luis Alberto Morales Rosales 51Pages https://doi.org/10.1134/S0361768825700495 Published: Publication History

Abstract

This paper proposes a computational model to assess the rehabilitation progress of stroke patients based on fuzzy cognitive maps (FCM). The proposed model addresses the challenges of integrating multidisciplinary clinical variables, patient activities, and collaborative medical activities, which are crucial for effective stroke rehabilitation. Through the development of the FCM, we represent the dynamic interactions between clinical indicators, patient treatment adherence, and collaborative workflows, enabling continuous monitoring and informed decision-making. Our FCM was calibrated using particle swarm optimization (PSO) by using synthetic data, achieving an accuracy of 95% and a Kappa coefficient of 0.92. Additionally, we developed an automated interpreter to translate the FCM results, focusing on a textual description and graphical semaphore, which facilitates clinical decision-making for physicians. Our proposal presents a new approach to assess the rehabilitation progress of stroke patients, integrating soft computing into clinical contexts and collaborative work.