EchoNext examines the electrical signals captured during a routine ECG. Although these signals may appear normal to the human ...

One seismometer is often not enough to reliably detect earthquakes or human activity such as underground nuclear tests.

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: In this paper, we develop a general framework of a granular representation of ECG signals. The crux of the approach lies in the development and ongoing processing realized in the setting of ...

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 ...