HeartBeam's Deep Learning Algorithms Demonstrate High Accuracy in Arrhythmia Detection

HeartBeam's deep learning algorithms have demonstrated high accuracy rates for detecting atrial fibrillation, atrial flutter, and sinus rhythm. The algorithms performed equally well on both the HeartBeam System and standard 12-lead ECGs, with no significant differences in accuracy measures. The study also found high accuracy rates for detecting arrhythmias in both groups (94.5% HeartBeam vs. 95.5% standard 12-lead ECG). This technology has the potential to transform cardiac care by making advanced monitoring more user-friendly and widespread.

HeartBeam's deep learning algorithms have demonstrated high accuracy rates in detecting atrial fibrillation, atrial flutter, and sinus rhythm, according to a recent study presented at HRX Live 2025. The algorithms performed equally well on both the HeartBeam System and standard 12-lead ECGs, with no significant differences in accuracy measures [2].

The study, conducted by HeartBeam, Inc. (NASDAQ: BEAT), found high accuracy rates for detecting arrhythmias in both groups. The HeartBeam System achieved a 94.5% accuracy rate, while standard 12-lead ECGs reached 95.5% accuracy. The findings indicate that the HeartBeam System, which captures the heart’s electrical signals from three distinct directions, can provide comparable diagnostic performance to traditional 12-lead ECG systems [2].

This technology has the potential to transform cardiac care by making advanced monitoring more user-friendly and widespread. The comparable performance of the HeartBeam System and standard 12-lead ECGs opens new avenues for patient care, particularly in settings where a full standard 12-lead ECG might be impractical [2].

HeartBeam plans to use data from its deep learning algorithms, including the results of this study, to support future FDA submissions. This could enhance forthcoming product offerings and further validate the company's innovative approach to cardiac monitoring [2].

References:

[1] https://medicalxpress.com/news/2025-09-ai-accurately-atrial-fibrillation-patients.html

[2] https://www.stocktitan.net/news/BEAT/heart-beam-s-deep-learning-algorithms-demonstrate-high-rates-of-3mnqc37qd7fb.html