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 13, 2026

A reduced sensor configuration for upper extremity monitoring after stroke

 Survivors don't give a flying fuck about monitoring; WHERE ARE THE EXACT RECOVERY PROTOCOLS?

Not solving stroke is the absolute stupidity out there!  You're all fired! Your comeuppance/screaming when you are the 1 in 4 per WHO that has a stroke  will be soul satisfying. 

A reduced sensor configuration for upper extremity monitoring after stroke

    We’re sharing this article early to provide faster access to peer-reviewed, accepted research. It is citable and carries a permanent DOI. This version is subject to further edits and will be replaced automatically by the final Version of Record. All legal disclaimers apply.

    Abstract

    Background

    Home rehabilitation for stroke survivors is crucial for promoting upper extremity (UE) movements, improving functional ability, and enhancing independence and quality of life.

    (100% recovery protocols would accomplish all this and deliver what the survivors want; 100% recovery! And you're too fucking stupid to see this?) Wearable sensors enable monitoring of movement trends and progress during home rehabilitation. The feasibility of using sensors in the homes of stroke survivors depends both on user acceptability and the accuracy of the sensors in capturing the complexity of movement. The aim of this study was to identify a reduced and more practical sensor configuration that preserves the ability to capture movement complexity for monitoring UE movements in stroke survivors during daily activities at home. This was informed by aligning user acceptability data with movement complexity measures derived from a nine-sensor reference configuration in a home-like environment.

    Methods

    Eleven chronic stroke survivors were observed in a natural or simulated home environment while attempting to attach and detach sensors and wearing them while performing self-chosen activities of daily living. Nine inertial measurement unit sensors were placed on the participants’ UEs and sternum. Acceptability was assessed with a custom-made questionnaire consisting of 14 items scored on a 1–5 Likert scale, and five open-ended questions. Furthermore, information entropy was calculated to determine the minimal number of sensors needed to capture movement complexity.

    Results

    Total acceptability of wearing the 9 sensors was high, with a median score of 57 out of 70 (81%; IQR = 11), whereas usability was moderate, with a median score of 11 out of 20 (55%; IQR = 5.5). The usability challenges were related mostly to attaching and detaching sensors on the hands and non-affected UE. The minimal sensor configuration to capture behavior complexity consisted of three-to-four sensors, placed on the sternum, non-affected and affected forearms, with or without affected upper arm.

    Conclusions

    The 9-sensor configuration had high acceptability, but lower usability. A reduced configuration with three-to-four sensors was sufficient to maintain the accuracy of the sensors, while potentially increasing stroke survivors’ usability. In turn, this may increase the feasibility of wearing sensors at home for stroke survivors.

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