ECG Classification

Benchmarks archive 2025-07-28

5 leaderboard tables shown for this task, 5 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.

Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.

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

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

Subtasks archive 2025-07-28

1 subtask in the archive's task tree.

Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

30 shown of 49 papers with code (116 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.

• Voice2Series: Reprogramming Acoustic Models for Time Series Classification
  17 Jun 2021 3 repositories listed Syntology ran 1 of 7 samples · 6 unverified · 3 pointer-only (licence)
  Learning to classify time series with limited data is a practical yet challenging problem.
• Zero-Shot ECG Classification with Multimodal Learning and Test-time Clinical Knowledge Enhancement
  11 Mar 2024 2 repositories listed Syntology ran 8 of 12 samples · 4 unverified
  Through multimodal learning on ECG records and associated reports, MERL is capable of performing zero-shot ECG classification with text prompts, eliminating the need for training data in downstream tasks.
• 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.
• Deep Learning for ECG Analysis: Benchmarks and Insights from PTB-XL
  28 Apr 2020 2 repositories listed
  Electrocardiography is a very common, non-invasive diagnostic procedure and its interpretation is increasingly supported by automatic interpretation algorithms.
• 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.
• 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.
• Cardioformer: Advancing AI in ECG Analysis with Multi-Granularity Patching and ResNet
  8 May 2025 1 repository listed
  Electrocardiogram (ECG) classification is crucial for automated cardiac disease diagnosis, yet existing methods often struggle to capture local morphological details and long-range temporal dependencies simultaneously.
• 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.
• ProtoECGNet: Case-Based Interpretable Deep Learning for Multi-Label ECG Classification with Contrastive Learning
  11 Apr 2025 1 repository listed
  Deep learning-based electrocardiogram (ECG) classification has shown impressive performance but clinical adoption has been slowed by the lack of transparent and faithful explanations.
• DCentNet: Decentralized Multistage Biomedical Signal Classification using Early Exits
  31 Jan 2025 1 repository listed
  If an input is confidently classified at an EEP, processing stops early, optimizing efficiency.
• GAF-FusionNet: Multimodal ECG Analysis via Gramian Angular Fields and Split Attention
  7 Dec 2024 1 repository listed
  Electrocardiogram (ECG) analysis plays a crucial role in diagnosing cardiovascular diseases, but accurate interpretation of these complex signals remains challenging.
• 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.
• Heartbeat classification using various machine learning models: A comparative study
  3 Sep 2024 1 repository listed
  An average precision of 0.
• Open-World Electrocardiogram Classification via Domain Knowledge-Driven Contrastive Learning
  17 Jul 2024 1 repository listed
  Overall, the investigated problem (i.
• A Multi-Resolution Mutual Learning Network for Multi-Label ECG Classification
  12 Jun 2024 1 repository listed
  MRM-Net includes a dual-resolution attention architecture and a feature complementary mechanism.
• Federated Learning and Differential Privacy Techniques on Multi-hospital Population-scale Electrocardiogram Data
  26 Apr 2024 1 repository listed
  Our results show that the performance achieved using our implementation of the FL approach is comparable to that of the pooled approach, where the model is trained over the aggregating data from all hospitals.
• Empirical investigation of multi-source cross-validation in clinical ECG classification
  22 Mar 2024 1 repository listed
  However, such estimates tend to be highly overoptimistic when compared to accuracy obtained from deploying models to sources not represented in the dataset, such as a new hospital.
• Transfer Learning in ECG Diagnosis: Is It Effective?
  3 Feb 2024 1 repository listed
  The adoption of deep learning in ECG diagnosis is often hindered by the scarcity of large, well-labeled datasets in real-world scenarios, leading to the use of transfer learning to leverage features learned from larger…
• 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.
• Reading Between the Leads: Local Lead-Attention Based Classification of Electrocardiogram Signals
  26 Dec 2023 1 repository listed
  Self-attention models have emerged as powerful tools in both computer vision and Natural Language Processing (NLP) domains.
• Automatic ECG classification using discrete wavelet transform and one-dimensional convolutional neural network
  23 Dec 2023 1 repository listed
  We present an approach to the analysis of electrocardiogram signals based on the convolutional neural network, discrete wavelet transformation with db2 mother wavelet, and synthetic minority over-sampling technique…
• MPCNN: A Novel Matrix Profile Approach for CNN-based Sleep Apnea Classification
  25 Nov 2023 1 repository listed
  Sleep apnea (SA) is a significant respiratory condition that poses a major global health challenge.
• 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.
• Arrhythmia Classifier Based on Ultra-Lightweight Binary Neural Network
  4 Apr 2023 1 repository listed
  With the development of deep learning, numerous ECG classification algorithms based on deep learning have emerged.
• ECG Classification System for Arrhythmia Detection Using Convolutional Neural Networks
  7 Mar 2023 1 repository listed
  Arrhythmia is just one of the many cardiovascular illnesses that have been extensively studied throughout the years.
• Advancing the State-of-the-Art for ECG Analysis through Structured State Space Models
  14 Nov 2022 1 repository listed
  The field of deep-learning-based ECG analysis has been largely dominated by convolutional architectures.
• Multimodality Multi-Lead ECG Arrhythmia Classification using Self-Supervised Learning
  30 Sep 2022 1 repository listed
  Electrocardiogram (ECG) signal is one of the most effective sources of information mainly employed for the diagnosis and prediction of cardiovascular diseases (CVDs) connected with the abnormalities in heart rhythm.
• Enhancing Deep Learning-based 3-lead ECG Classification with Heartbeat Counting and Demographic Data Integration
  15 Aug 2022 1 repository listed
  Nowadays, an increasing number of people are being diagnosed with cardiovascular diseases (CVDs), the leading cause of death globally.
• LightX3ECG: A Lightweight and eXplainable Deep Learning System for 3-lead Electrocardiogram Classification
  25 Jul 2022 1 repository listed
  In clinical practices and most of the current research, standard 12-lead ECG is mainly used.
• Decorrelative Network Architecture for Robust Electrocardiogram Classification
  19 Jul 2022 1 repository listed
  We propose a novel ensemble approach based on feature decorrelation and Fourier partitioning for teaching networks diverse complementary features, reducing the chance of perturbation-based fooling.

Syntology lines on 4 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.