Deans' stroke musings

Changing stroke rehab and research worldwide now.Time is Brain!Just think of all the trillions and trillions of neurons that DIE each day because there are NO effective hyperacute therapies besides tPA(only 12% effective). I have 493 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:

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's quite disgusting that this information is not available from every stroke association and doctors group.
My back ground story is here:

Sunday, May 14, 2017

Apple Watch can detect early signs of a stroke using AI

I bet your doctor doesn't suggest you use this to detect atrial fibrillation. So don't diagnose yourself with AF before your doctor does. Wrong title, it might detect signs of a risk for stroke. The president of our great stroke association would be contacting the reporter on this and getting the headline corrected.

The Apple Watch could save lives by spotting early signs of a stroke, according to new research.
When paired with AI algorithms, the smartwatch can detect atrial fibrillation – the most common form of an irregular heartbeat – 97 per cent of the time, according to a study from app maker Cardiogram and UCSF Health lab.
Atrial fibrillation is the cause of one in four strokes, so it’s hoped that the smartwatch software could eventually help to prevent strokes happening in the first place.
The Cardiogram app could eventually be used to spot early signs of a stroke (Cardiogram)
In the study, data from 6,158 users of the Apple Watch Cardiogram app, including 200 participants with atrial fibrillation, was used to train a neural network on the watch’s heart rate readings, .
The software was trained to tell the difference between those with the heart condition and those without.

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