Download Our DHN Survey Result 2024
scalehealthtech Realize your Healthcare’s Digital Transformation journey with ScaleHealthTech Learn More

LUX Researchers’ New AI Model Claims 80% Accuracy in Predicting Irregular Heartbeat 30 Mns Advance

Written by : Nikita Saha

April 24, 2024

Category Img

The AI tool WARN offers early warnings and can be seamlessly integrated into smartphones for data processing from smartwatches.

Researchers from the University of Luxembourg have developed an AI-based model that can predict irregular heartbeat, known as cardiac arrhythmia, approximately 30 minutes before its onset.

The AI tool named WARN (Warning of Atrial fibRillatioN) offers early warnings and can be seamlessly integrated into smartphones for data processing from smartwatches.

Reportedly, the model has demonstrated an impressive 80% accuracy in predicting the transition from a normal cardiac rhythm to atrial fibrillation, the most prevalent form of cardiac arrhythmia characterized by irregular beating in the heart's upper chambers.

Key Functionalities

The WARN is a deep-learning model that can recognize different phases – sinus rhythm, pre-atrial fibrillation, and atrial fibrillation – and calculate a ‘probability of danger’ that the patient will have an imminent episode.

WARN gives early warnings, on average 30 minutes before the start of atrial fibrillation, and is the first method to provide a warning far from the onset, stated the researchers.

The development of the model involved training it on 24-hour recordings obtained from 350 patients at Tongji Hospital in Wuhan, China.

Further, the model is trained using heart rate data, specifically R-to-R intervals, which can be acquired from easy-to-wear and affordable pulse signal recorders such as smartwatches.

Per the researchers, the AI tool has multiple layers in its decision-making process. This allows for the development of real-time monitoring and early warnings from wearable devices.

On the development, Jorge Goncalves, Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, and the study's corresponding author, said, “When approaching atrial fibrillation, the probability increases until it crosses a specific threshold, providing an early warning. Being of low computational cost, the AI-model is "ideal for integration into wearable technologies."

With this move, the Luxembourg researchers aim to develop personalized models that continuously refine and retrain based on an individual’s heart dynamics, leading to enhanced performance and even earlier warnings.

This approach could potentially lead to new clinical trials and innovative therapeutic interventions.

“These devices can be used by patients on a daily basis, so our results open possibilities for the development of real-time monitoring and early warnings from comfortable wearable devices," study author Arthur Montanari, an LCSB researcher, said.

The study was published in the journal Patterns. This journal features innovative research in various fields of science and technology.

AI Advancing Healthcare Delivery

In a recent study, researchers at the National Institutes of Health (NIH) unveiled an AI tool capable of predicting cancer drug responses using data from individual cells within tumors. This technology offers insights into the genetic profiles of different cell clones within tumors, potentially leading to more effective drug targeting.

Further, days back, Global Medical Technical giant GE Healthcare unveiled the Voluson Signature 20 and 18 ultrasound systems, for women's healthcare diagnostics.

These latest systems are powered by AI, advanced technological tools, and ergonomic design which will enable faster examination for clinicians and deliver clear insights into various conditions affecting women's health.

The ultrasound system is designed for precision imaging of complex healthcare issues faced particularly by women in pregnancy-related complications and reproductive system disorders.


Digital Health News ( DHN) is India’s first dedicated digital health news platform launched by Industry recognized HealthTech Leaders. DHN Is Industry’s Leading Source Of HealthTech Business, Insights, Trends And Policy News.

DHN Provides In-Depth Data Analysis And Covers Most Impactful News As They Happen Across Entire Ecosystem Including Emerging Technology Trends And Innovations, Digital Health Startups, Hospitals, Health Insurance, Govt. Agencies & Policies, Pharmaceuticals And Biotech.


© Digital Health News 2024