Electrocardiography (ECG)

Benchmarks archive 2025-07-28

No benchmark for this task in the archive.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

2 datasets whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

13 subtasks in the archive's task tree.

Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

30 shown of 45 papers with code (117 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• ECG Heartbeat Classification: A Deep Transferable Representation
  19 Apr 2018 13 repositories listed Syntology ran 0 of 2 samples · 2 unverified
  Electrocardiogram (ECG) can be reliably used as a measure to monitor the functionality of the cardiovascular system.
• ECG arrhythmia classification using a 2-D convolutional neural network
  18 Apr 2018 11 repositories listed Syntology ran 2 of 9 samples · 7 unverified · 2 pointer-only (licence)
  In this paper, we propose an effective electrocardiogram (ECG) arrhythmia classification method using a deep two-dimensional convolutional neural network (CNN) which recently shows outstanding performance in the field…
• Cardiologist-Level Arrhythmia Detection with Convolutional Neural Networks
  6 Jul 2017 7 repositories listed Syntology ran 1 of 1 samples · 0 unverified · 1 pointer-only (licence)
  We develop an algorithm which exceeds the performance of board certified cardiologists in detecting a wide range of heart arrhythmias from electrocardiograms recorded with a single-lead wearable monitor.
• CE-SSL: Computation-Efficient Semi-Supervised Learning for ECG-based Cardiovascular Diseases Detection
  20 Jun 2024 2 repositories listed
  It enables a robust adaptation of pre-trained models on downstream datasets with limited supervision and high computational efficiency.
• Medformer: A Multi-Granularity Patching Transformer for Medical Time-Series Classification
  24 May 2024 2 repositories listed Syntology ran 6 of 8 samples · 2 unverified
  Medical time series (MedTS) data, such as Electroencephalography (EEG) and Electrocardiography (ECG), play a crucial role in healthcare, such as diagnosing brain and heart diseases.
• Blind ECG Restoration by Operational Cycle-GANs
  29 Jan 2022 2 repositories listed
  Usually, a set of such artifacts occur on the same ECG signal with varying severity and duration, and this makes an accurate diagnosis by machines or medical doctors extremely difficult.
• ECG-Based Heart Arrhythmia Diagnosis Through Attentional Convolutional Neural Networks
  18 Aug 2021 2 repositories listed
  Electrocardiography (ECG) signal is a highly applied measurement for individual heart condition, and much effort have been endeavored towards automatic heart arrhythmia diagnosis based on machine learning.
• Anomaly Detection in Time Series with Triadic Motif Fields and Application in Atrial Fibrillation ECG Classification
  9 Dec 2020 2 repositories listed
  Considering the quasi-periodic characteristics of ECG signals, the dynamic features can be extracted from the TMF images with the transfer learning pre-trained convolutional neural network (CNN) models.
• Towards understanding ECG rhythm classification using convolutional neural networks and attention mappings
  17 Aug 2018 2 repositories listed
  Access to electronic health record (EHR) data has motivated computational advances in medical research.
• Long-term Blood Pressure Prediction with Deep Recurrent Neural Networks
  12 May 2017 2 repositories listed
  Existing methods for arterial blood pressure (BP) estimation directly map the input physiological signals to output BP values without explicitly modeling the underlying temporal dependencies in BP dynamics.
• Deep Learning for ECG Classification
  1 Jan 2017 2 repositories listed
  The importance of ECG classification is very high now due to many current medical applications where this problem can be stated.
• An Open-source Toolbox for Analysing and Processing PhysioNet Databases in MATLAB and Octave
  24 Sep 2014 2 repositories listed
  The WaveForm DataBase (WFDB) Toolbox for MATLAB/Octave enables integrated access to PhysioNet's software and databases.
• Diffusion-Based Electrocardiography Noise Quantification via Anomaly Detection
  13 Jun 2025 1 repository listed
  The proposed method enhances clinical decision-making, diagnostic accuracy, and real-time ECG monitoring capabilities, supporting future advancements in clinical and wearable ECG applications.
• Mitigating Adversarial Attacks on ECG Classification in Federated Learning via Adversarial Training
  1 May 2025 1 repository listed
  In the analysis of healthcare data, such as electrocardiography (ECG), FL enables local processing of data while preserving privacy.
• Are ECGs enough? Deep learning classification of cardiac anomalies using only electrocardiograms
  11 Mar 2025 1 repository listed
  Electrocardiography (ECG) is an essential tool for diagnosing multiple cardiac anomalies: it provides valuable clinical insights, while being affordable, fast and available in many settings.
• MedGNN: Towards Multi-resolution Spatiotemporal Graph Learning for Medical Time Series Classification
  6 Feb 2025 1 repository listed
  To address these limitations, we propose a Multi-resolution Spatiotemporal Graph Learning framework, MedGNN, for medical time series classification.
• Electrocardiogram-based diagnosis of liver diseases: an externally validated and explainable machine learning approach
  4 Dec 2024 1 repository listed
  To improve interpretability, we applied explainability methods to identify key predictive features.
• Translating Electrocardiograms to Cardiac Magnetic Resonance Imaging Useful for Cardiac Assessment and Disease Screening: A Multi-Center Study AI for ECG to CMR Translation Study
  19 Nov 2024 1 repository listed
  Trained on 159, 819 samples from five cohorts, including the UK Biobank (n=42, 483) and MIMIC-IV-ECG (n=164, 550), and externally validated on independent clinical datasets (n=3, 767), CardioNets achieved strong…
• Learning General Representation of 12-Lead Electrocardiogram with a Joint-Embedding Predictive Architecture
  11 Oct 2024 1 repository listed Syntology ran 1 of 1 samples · 0 unverified
  Electrocardiogram (ECG) captures the heart's electrical signals, offering valuable information for diagnosing cardiac conditions.
• Flexible framework for generating synthetic electrocardiograms and photoplethysmograms
  29 Aug 2024 1 repository listed
  For example, we trained an LSTM to detect ECG R-peaks using both real ECG signals from the MIT-BIH arrythmia set and our new generator.
• Interpretable Pre-Trained Transformers for Heart Time-Series Data
  30 Jul 2024 1 repository listed
  It is also demonstrated that these pre-trained models are straightforward to fine-tune for tasks such as classification of atrial fibrillation (AF), and beat detection in photoplethysmography.
• SQUWA: Signal Quality Aware DNN Architecture for Enhanced Accuracy in Atrial Fibrillation Detection from Noisy PPG Signals
  15 Apr 2024 1 repository listed
  Atrial fibrillation (AF), a common cardiac arrhythmia, significantly increases the risk of stroke, heart disease, and mortality.
• Guiding Masked Representation Learning to Capture Spatio-Temporal Relationship of Electrocardiogram
  2 Feb 2024 1 repository listed Syntology ran 9 of 12 samples · 3 unverified · 12 pointer-only (licence)
  However, adapting to the application of screening disease is challenging in that labeled ECG data are limited.
• MELEP: A Novel Predictive Measure of Transferability in Multi-Label ECG Diagnosis
  27 Oct 2023 1 repository listed
  In practical electrocardiography (ECG) interpretation, the scarcity of well-annotated data is a common challenge.
• Region-Disentangled Diffusion Model for High-Fidelity PPG-to-ECG Translation
  25 Aug 2023 1 repository listed Syntology ran 6 of 6 samples · 0 unverified
  In this work, we introduce Region-Disentangled Diffusion Model (RDDM), a novel diffusion model designed to capture the complex temporal dynamics of ECG.
• Towards Domain Generalization for ECG and EEG Classification: Algorithms and Benchmarks
  20 Mar 2023 1 repository listed
  Our objective in this work is to propose a benchmark for evaluating DG algorithms, in addition to introducing a novel architecture for tackling DG in biosignal classification.
• Spectral Cross-Domain Neural Network with Soft-adaptive Threshold Spectral Enhancement
  10 Jan 2023 1 repository listed
  The robust performance of SCDNN provides a new perspective to exploit knowledge across deep learning models from time and spectral domains.
• HKF: Hierarchical Kalman Filtering with Online Learned Evolution Priors for Adaptive ECG Denoising
  23 Oct 2022 1 repository listed
  This paper introduces HKF, a hierarchical and adaptive Kalman filter, which uses a proprietary state space model to effectively capture both intra- and inter-heartbeat dynamics for ECG signal denoising.
• Investigating Deep Learning Benchmarks for Electrocardiography Signal Processing
  9 Apr 2022 1 repository listed
  In recent years, deep learning has witnessed its blossom in the field of Electrocardiography (ECG) processing, outperforming traditional signal processing methods in various tasks, for example, classification, QRS…
• MAUS: A Dataset for Mental Workload Assessmenton N-back Task Using Wearable Sensor
  3 Nov 2021 1 repository listed
  Besides, we also presents a reproducible baseline system as a preliminary benchmark (The code of the baseline system on MAUS dataset is available on Github: https://github.

Syntology lines on 7 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.