Arrhythmia Detection

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 2026-09-25.

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

No subtask under this task in the archive's task tree.

Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

30 shown of 30 papers with code (86 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.
• Inter- and intra- patient ECG heartbeat classification for arrhythmia detection: a sequence to sequence deep learning approach
  9 Dec 2018 3 repositories listed
  Electrocardiogram (ECG) signal is a common and powerful tool to study heart function and diagnose several abnormal arrhythmia.
• Leveraging Visibility Graphs for Enhanced Arrhythmia Classification with Graph Convolutional Networks
  19 Apr 2024 2 repositories listed
  Arrhythmias, detectable through electrocardiograms (ECGs), pose significant health risks, underscoring the need for accurate and efficient automated detection techniques.
• 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.
• 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.
• 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.
• Enhancing Visual Inspection Capability of Multi-Modal Large Language Models on Medical Time Series with Supportive Conformalized and Interpretable Small Specialized Models
  27 Jan 2025 1 repository listed
  Large language models (LLMs) exhibit remarkable capabilities in visual inspection of medical time-series data, achieving proficiency comparable to human clinicians.
• Finding "Good Views" of Electrocardiogram Signals for Inferring Abnormalities in Cardiac Condition
  11 Nov 2024 1 repository listed
  In this project, we investigate several ways to define positive samples, and assess which approach yields the best performance in a downstream task of classifying arrhythmia.
• Heartbeat classification using various machine learning models: A comparative study
  3 Sep 2024 1 repository listed
  An average precision of 0.
• ECG signal processing and feature extraction to validate feature significance for arrythmia detection
  4 Jul 2024 1 repository listed
  Arrhythmias, such as tachycardia and bradycardia, are prevalent in postoperative patients, especially within the first week after surgery.
• ECG Semantic Integrator (ESI): A Foundation ECG Model Pretrained with LLM-Enhanced Cardiological Text
  26 May 2024 1 repository listed Syntology ran 11 of 14 samples · 3 unverified · 14 pointer-only (licence)
  The utilization of deep learning on electrocardiogram (ECG) analysis has brought the advanced accuracy and efficiency of cardiac healthcare diagnostics.
• Improving deep learning in arrhythmia Detection: The application of modular quality and quantity controllers in data augmentation
  10 May 2024 1 repository listed
  To achieve this, we have instituted the Modular Distribution and Volume Controller method, abbreviated as MDVC.
• Alternative Telescopic Displacement: An Efficient Multimodal Alignment Method
  29 Jun 2023 1 repository listed
  In the realm of multimodal data integration, feature alignment plays a pivotal role.
• Ensemble classifier fostered detection of arrhythmia using ECG data
  5 May 2023 1 repository listed
  In this work, an Ensemble classifier is proposed for accurate arrhythmia detection using ECG Signal.
• 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.
• Evaluating Feature Attribution Methods for Electrocardiogram
  23 Nov 2022 1 repository listed
  The performance of cardiac arrhythmia detection with electrocardiograms(ECGs) has been considerably improved since the introduction of deep learning models.
• Pan-Tompkins++: A Robust Approach to Detect R-peaks in ECG Signals
  6 Nov 2022 1 repository listed
  We achieve 2.
• A Personalized Zero-Shot ECG Arrhythmia Monitoring System: From Sparse Representation Based Domain Adaption to Energy Efficient Abnormal Beat Detection for Practical ECG Surveillance
  14 Jul 2022 1 repository listed
  An extensive set of experiments performed on the benchmark MIT-BIH ECG dataset shows that when this domain adaptation-based training data generator is used with a simple 1-D CNN classifier, the method outperforms the…
• Arrhythmia Classifier Using Convolutional Neural Network with Adaptive Loss-aware Multi-bit Networks Quantization
  27 Feb 2022 1 repository listed
  In order to adapt to our compression method, we need a smaller and simpler network.
• Arrhythmia Classification using CGAN-augmented ECG Signals
  26 Jan 2022 1 repository listed
  We employed two models for ECG generation: (i) unconditional GAN; Wasserstein GAN with gradient penalty (WGAN-GP) is trained on each class individually; (ii) conditional GAN; one Auxiliary Classifier WGAN-GP…
• End-to-End Optimized Arrhythmia Detection Pipeline using Machine Learning for Ultra-Edge Devices
  23 Nov 2021 1 repository listed
  The feature engineering employed in this research catered to optimizing the resource-efficient classifier used in the proposed pipeline, which was able to outperform the best performing standard ML model by 10⁵× in…
• ECG-ATK-GAN: Robustness against Adversarial Attacks on ECGs using Conditional Generative Adversarial Networks
  17 Oct 2021 1 repository listed
  The experiment confirms that our model is more robust against such adversarial attacks for classifying arrhythmia with high accuracy.
• ECG-TCN: Wearable Cardiac Arrhythmia Detection with a Temporal Convolutional Network
  25 Mar 2021 1 repository listed
  With 9.
• Detection and Classification of Cardiac Arrhythmias by a Challenge-Best Deep Learning Neural Network Model
  4 Feb 2020 1 repository listed
  Electrocardiograms (ECGs) are widely used to clinically detect cardiac arrhythmias (CAs).
• Arrhythmia Detection Using Deep Convolutional Neural Network With Long Duration ECG Signals
  1 Sep 2018 1 repository listed
  The goal of our research was to design a new method based on deep learning to efficiently and quickly classify cardiac arrhythmias.
• VFPred: A Fusion of Signal Processing and Machine Learning techniques in Detecting Ventricular Fibrillation from ECG Signals
  7 Jul 2018 1 repository listed
  Ventricular Fibrillation (VF), one of the most dangerous arrhythmias, is responsible for sudden cardiac arrests.
• Comparing feature-based classifiers and convolutional neural networks to detect arrhythmia from short segments of ECG
  24 Sep 2017 1 repository listed
  Similarly, the convolutional neural network scored 72.
• ENCASE: An ENsemble ClASsifiEr for ECG classification using expert features and deep neural networks
  24 Sep 2017 1 repository listed
  We propose ENCASE to combine expert features and DNNs (Deep Neural Networks) together for ECG classification.

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 2026-09-25.