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.
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.
Predicting cardiac arrhythmia 30 minutes before it happens sciencedaily.com - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from sciencedaily.com Daily Mail and Mail on Sunday newspapers.
Researchers develop deep-learning model capable of predicting cardiac arrhythmia 30 minutes before it happens medicalxpress.com - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from medicalxpress.com Daily Mail and Mail on Sunday newspapers.