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AI-model developed to predict irregular heartbeat 30 minutes before onset in new study

AI-model developed to predict irregular heartbeat 30 minutes before onset in new study
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New delhiArthur montanariJorge goncalvesLuxembourg centre for systems biomedicineUniversity of luxembourgTongji hospitalLuxembourg centreSystems biomedicineWhatsapp channel

Smartwatch AI predicts atrial fibrillation 30 minutes before it arrives

Trained on simple heart rate data, an AI model can predict an episode of atrial fibrillation 30 minutes in advance. With plans incorporate it into a smartphone so it can analyze data from a smartwatch, the model would act as an early warning system.

Marino gavidiaJorge goncalvesUniversity of luxembourgLuxembourg centerSystems biomedicineSystems controlTongji hospital

Breakthrough AI Predicts Heart Irregularities Half An Hour In Advance

Their study revealed that the model demonstrated an impressive 80 percent accuracy rate in anticipating the shift from a regular heart rhythm to atrial fibrillation, the prevalent form of cardiac arrhythmia characterized by erratic beating of the heart’s upper chambers - Newsx

Jorge goncalvesArthur montanariLuxembourg centre for systems biomedicineUniversity of luxembourgTongji hospitalLuxembourg centreSystems biomedicineAtrial fibrilationCardiac arrhythmiaDeep learning

AI-model developed to predict irregular heartbeat 30 minutes before onset in new study, ET HealthWorld

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.

New delhiArthur montanariJorge goncalvesUniversity of luxembourgLuxembourg centre for systems biomedicineTongji hospitalLuxembourg centreSystems biomedicine

Deep learning predicts heart arrhrythmia 30 minutes in advance

Atrial fibrillation is the most common cardiac arrhythmia worldwide with around 59 million people concerned in 2019. This irregular heartbeat is associated with increased risks of heart failure, dementia and stroke.

Arthur montanariJorge goncalvesMarino gavidiaLuxembourg centre for systems biomedicineUniversity of luxembourgLuxembourg centreSystems biomedicineSystems controlTongji hospitalDoctoral training unitFb from the luxembourg centre for systems biomedicine lcsb of university