A comparison of studies developed for the detection of cardiovascular diseases from signals obtained from wearable devices with machine learning methods.

A comparison of studies developed for the detection of cardiovascular diseases from signals obtained from wearable devices with machine learning methods.

<p>A comparison of studies developed for the detection of cardiovascular diseases from signals obtained from wearable devices with machine learning methods.</p>

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Bibliographic Details
Main Author:	Miray Gunay Bulut (20714911) (author)
Other Authors:	Sencer Unal (20714914) (author), Mohamed Hammad (10431225) (author), Paweł Pławiak (17328063) (author)
Published:	2025
Subjects:	Medicine Cell Biology Physiology Cancer Space Science Biological Sciences not elsewhere classified provide earlier diagnoses premature atrial contractions massachusetts medical center like atrial fibrillation ppg signal data div >< p cardiac rhythm disorders proposed model achieved raw ppg signals ppg signals using 1d cnn model rhythm disorders cnn model ppg signals ventricular fibrillation deep cnn wearable devices vf ), various ways sudden death significant role second segments recent years holter monitors heart rate health status extrasystole ). different areas continuously monitor bandpass filter balanced circulation allow doctors accuracy values accuracy rate
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Summary:	<p>A comparison of studies developed for the detection of cardiovascular diseases from signals obtained from wearable devices with machine learning methods.</p>

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