Atrial fibrillation detection using beat-to-beat RR intervals and deep learning in large databases

Biomedical Signal Processing and Control · Published 2026-07-29 · DOI 10.1016/j.bspc.2026.111118

Authors (7)

Pedro Henrique Gianjoppe dos Santos, João Pedro Walsh Crema, Paloma Rodrigues Rocha, Diego Munduruca Domingues, Sara Quaglia de Campos Giampá, César José Gruppi, Geraldo Lorenzi-Filho

Abstract

PubPorta does not have an abstract for this article yet.

Read the article at the publisher →

Publication details

Year

2026

Citation

Santos, P., Crema, J., Rocha, P., et al. (2026). Atrial fibrillation detection using beat-to-beat RR intervals and deep learning in large databases. Biomedical Signal Processing and Control. https://doi.org/10.1016/j.bspc.2026.111118

Related articles

• Physical PPG signal synthesis via reinforcement learning-based LED control · Biomedical Signal Processing and Control · 2026 · Same journal
• HTST-Net: A hierarchical time-distributed network with spatial–temporal feature gated fusion for genomic insertion variant calling · Biomedical Signal Processing and Control · 2026 · Same journal
• PRISM-FedSeg: enhancing medical image segmentation through self-supervised federated learning with privacy preservation · Biomedical Signal Processing and Control · 2026 · Same journal
• Desynchronization Index: A new connectivity approach for exploring epileptogenic networks · Biomedical Signal Processing and Control · 2026 · Same journal
• Principal time–frequency component analysis for interpretable motor imagery BCIs · Biomedical Signal Processing and Control · 2026 · Same journal
• A unified framework for integrated prediction and personalized management of hormonal and mental health disorders · Biomedical Signal Processing and Control · 2026 · Same journal
• SHHN: A Sequential Hierarchy Hybrid Network for multimodal cancer survival prediction · Biomedical Signal Processing and Control · 2026 · Same journal
• EMG-derived chaotic feature-based induced pain assessment technique using CNN architecture · Biomedical Signal Processing and Control · 2026 · Same journal
• A hybrid convolutional neural-transformer framework with center-based separation index pruning for depression detection from electroencephalography signals · Biomedical Signal Processing and Control · 2026 · Same journal
• J-RAS: Mutual adaptation for medical image segmentation via contrastive retrieval-augmented joint optimization · Biomedical Signal Processing and Control · 2026 · Same journal