- About 59 million people globally had atrial fibrillation (AFib) in 2019.
- AFib is not usually life threatening, but earlier detection is tied to better health outcomes.
- Researchers developed new technology to predict cardiac arrhythmia 30 minutes before it occurs.
- AFib was detected early with artificial intelligence and electrocardiogram information gathered by wearable devices.
About
While AFib itself is not usually life threatening, it is a serious condition that may increase a person’s risk of mortality from cardiovascular conditions such as
People with AFib may also have a higher chance of developing diseases such as
The earlier a person receives an AFib diagnosis the better their
To help provide earlier interventions for AFib, scientists from the University of Luxembourg have developed a way to predict cardiac arrhythmia about 30 minutes before it occurs by using
The study was recently published in the journal
For this study, researchers developed an AI model called WARN (Warning of Atrial fibRillatioN) to help predict AFib.
“WARN consists of a deep learning model that inputs short segments of 30 seconds of heart rate and outputs the probability of an imminent switch to AFib,” Jorge Gonçalves, PhD, professor at the Luxembourg Centre for Systems Biomedicine at the University of Luxembourg and lead author of this study explained to Medical News Today.
“The higher this probability of danger, the higher the chance to transition to AFib. This is repeated every 15 seconds. When this probability crosses a specific threshold, it triggers a warning,” Gonçalves said.
The WARN system was trained…
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