Deans' stroke musings: Finger State Progress Model for Virtual Fine Motor 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.

Monday, November 16, 2020

Finger State Progress Model for Virtual Fine Motor Stroke Rehabilitation

Wow, using motion sensors to capture objective movement problems. When will your stroke hospital move into the 21st century? 50 years from now?

Finger State Progress Model for Virtual Fine Motor Stroke Rehabilitation

Mohd Amir Idzham Iberahim1
, Syadiah Nor Wan Shamsuddin1
, Mokhairi Makhtar1
,
Mohd Nordin Abdul Rahman1
, Nordin Simbak2
1Faculty of Informatics and Computing, University of Sultan Zainal Abidin, Malaysia
2Faculty of Medicine, University of Sultan Zainal Abidin, Malaysia

ABSTRACT

Manual observation in measuring and assessing stroke patient progress in fine motor rehabilitation will lead to inconsistencies especially when the patient is evaluated by different therapists or attends different rehabilitation facilities. In addition, it also increases therapist workload if they need to supervise many patients at the same time. Thus, a model was proposed to capture finger data from motion sensor device usingTime-Based Simplified Denavit-Heartenberg (TS-DH)and the Finger State progress (FSP) model. Actual finger movement was compared with patterns of finger state for real-time evaluation of finger movement progress. The model will assist therapists in real-time or post-exercise evaluation of patient progress and analysis can be done during stroke rehabilitation exercise. As a conclusion, the model can be used efficiently in virtual stroke rehabilitation as real-time indicator or as a long term analysis to compare prior progress.