Latest Research in ECG Monitoring and Analysis

Top Research Topics in ECG Monitoring and Analysis

• ECG Monitoring and Analysis — 30 papers
• Machine Learning — 14 papers
• Signal Processing — 7 papers
• Phonocardiography and Auscultation Techniques — 6 papers
• Neonatal and fetal brain pathology — 2 papers
• Artificial Intelligence — 2 papers
• Machine Learning in Healthcare — 1 papers
• Cryptography and Data Security — 1 papers
• Wireless Body Area Networks — 1 papers
• Image and Signal Denoising Methods — 1 papers

Highest-Cited Papers

1. Data distribution impacts the performance and generalisability of contrastive learning-based foundation models of electrocardiograms (1 citations)
2. BenchECG and xECG: a benchmark and baseline for ECG foundation models (1 citations)
3. Adaptive ultra-lightweight 12-lead ECG reconstruction from limited leads via a vectorcardiogram-mediated cascade framework
4. Physiologically-aware data generation: A differentiable HMM and frequency-domain Transformer GAN approach
5. Machine Intelligence on the Edge: Interpretable Cardiac Pattern Localization Using Reinforcement Learning
6. Congenital heart disease classification using phonocardiograms: a scalable screening tool for diverse environments
7. FOCAL: Fine-Grained Optimal-Transport-Driven Contrastive Alignment of Language and ECGs with Waveform Enhancement
8. Evaluation of diagnostic performance and quantitative physiologic saliency alignment of time-series foundation models for electrocardiogram
9. SCD-FuseNet: spectral common-difference decoupling and lightweight cross-attention fusion for multi-lead ECG arrhythmia recognition
10. DiSR-ECG: Residual Shifting Conditional Diffusion for Robust ECG Super-Resolution
11. Decoder Design Matters for ECG Delineation
12. An interpretable multi-scale hybrid attention network (MSHAN) for explainable ECG arrhythmia classification
13. Training and validation of a 12-lead ECG-based deep-learning model for myocardial infarction subtypes
14. On the role of the tokenizer in ECG transformer models
15. Same path, different: a mechanistic comparison of looped and stacked transformer encoders on 12-lead ECG
16. Representing Clinical Conditions on Vital Signs from Healthy Individuals using Latent Modeling
17. Robust multi-label ECG classification: a deep learning framework for concurrent arrhythmias with clinical generalizability
18. A minimalist 1-lead ECG beat classification without handcrafted morphological feature extraction for inter-patient, edge-oriented diagnosis
19. Beyond full fine-tuning: towards enhanced generalizability in downstream ECG foundation model adaptation
20. Differentially private and explainable machine learning for vasovagal syncope detection: a feasibility study of homomorphic encryption for secure inference