Apple Watch is a great gadget to monitor some aspects of our health and fitness - this is, by the way, Assignment writing service the main selling point of the product. But when things are not so good with the user and your heart rate is out of order, can the Watch help? We already know that the heart rate monitor from Apple's watch is reliable since tests have proven their fidelity when compared to a professional measuring device.
This time, a new study showed that Watch has 97% accuracy in detecting abnormalities in a user's heart rate. The study was conducted by the University of California, San Francisco, along with the team behind the Cardiogam application. Hire someone to write a research paper Through the app for Apple Watch, 6,158 participants were recruited, most of whom obtained regular, normal beating results; already 200 of them suffered from "paroxysmal atrial fibrillation", an abnormal heart beat.
From the participants' data and information taken from Cardiogram users, they were able to create a "neural network" that could recognize abnormal, unbalanced heartbeat, only with data collected by Apple Watch.
Cardiogram, which is a startup, managed to raise about $ 2 million last year for this study and now those responsible say that its algorithm can almost always determine successfully when a patient is in atrial fibrillation. The app can already detect when a user is about to suffer a stroke, as they often have an abnormal heart rhythm. Still, work will continue to refine more and more the detection of various cardiac abnormalities, only then to provide app users with reports on arrhythmias.
This time, a new study showed that Watch has 97% accuracy in detecting abnormalities in a user's heart rate. The study was conducted by the University of California, San Francisco, along with the team behind the Cardiogam application. Hire someone to write a research paper Through the app for Apple Watch, 6,158 participants were recruited, most of whom obtained regular, normal beating results; already 200 of them suffered from "paroxysmal atrial fibrillation", an abnormal heart beat.
From the participants' data and information taken from Cardiogram users, they were able to create a "neural network" that could recognize abnormal, unbalanced heartbeat, only with data collected by Apple Watch.
Cardiogram, which is a startup, managed to raise about $ 2 million last year for this study and now those responsible say that its algorithm can almost always determine successfully when a patient is in atrial fibrillation. The app can already detect when a user is about to suffer a stroke, as they often have an abnormal heart rhythm. Still, work will continue to refine more and more the detection of various cardiac abnormalities, only then to provide app users with reports on arrhythmias.
Apple Watch can detect cardiac abnormalities with 97% accuracy
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November 16, 2017
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