A heart rate tracking sensor has become a common feature of today’s smartwatches, and it looks like accuracy has improved so much lately that they can detect abnormal heart rhythms and contribute to diagnosing atrial fibrillation in conjunction with deep neural networks.
A study conducted by the developing team of Cardiogram app for the Apple Watch and researchers at the University of California revealed that smartwatches like Apple’s own device, Garmin, or LG models, can collect data, which when analyzed by advanced tech like neural networks, can diagnose heart diseases with an accuracy of 97 percent.
As part of the study, smartwatches collected heart rate data which was then inspected by DeepHeart, Cardiogram’s deep neural network, to look for possible atrial fibrillation signs, which in their turn can lead to fatal conditions like heart failures or strokes.
“Thi… (read more)
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