NEW DELHI: Researchers have developed a new AI-based model that can predict irregular heartbeat, or cardiac arrhythmia, about 30 minutes before its onset.
The researchers found that the model proved to be 80 per cent accurate in predicting the transition from a normal cardiac rhythm to atrial fibrillation, the most common type of cardiac arrhythmia in which the heart’s upper chambers (atria) beat irregularly and are out of sync with the lower ones (ventricles).
The team, including researchers at the University of Luxembourg, said that their AI-model, which gives early warnings, could be easily installed in smartphones to process the data recorded on smartwatches. The warnings could allow patients to take preventive measures to keep their cardiac rhythm stable, they said. The study is published in the journal Patterns.
