One seismometer is often not enough to reliably detect earthquakes or human activity such as underground nuclear tests.
EchoNext examines the electrical signals captured during a routine ECG. Although these signals may appear normal to the human ...
Machine learning models that use electronic health record data to predict obstructive sleep apnea had greater performance than two screening questionnaires, according to a poster presented at SLEEP ...
Abstract: Sleep monitoring typically requires the uncomfortable and expensive polysomnography (PSG) test to determine the sleep stages. Body movement and cardiopulmonary signals provide an alternative ...
Cardiovascular diseases remain a leading cause of mortality globally, driving the need for more precise diagnostic and predictive tools. Traditional ...
UC Berkeley researchers say a new AI model found a hidden ECG signal that could help doctors identify more people at risk ...
Siamese Convolutional Neural Network for Heartbeat Classification Using Limited 12-Lead ECG Datasets
Abstract: The Electrocardiogram (ECG) is a low-cost exam commonly used to diagnose abnormalities in the cardiac cycle. Over the years, the scientific community has investigated the automatic ...
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