Icentia11K: An Unsupervised Representation Learning Dataset for Arrhythmia Subtype Discovery
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Abstract (arXiv)
We release the largest public ECG dataset of continuous raw signals for representation learning containing 11 thousand patients and 2 billion labelled beats. Our goal is to enable semi-supervised ECG models to be made as well as to discover unknown subtypes of arrhythmia and anomalous ECG signal events. To this end, we propose an unsupervised representation learning task, evaluated in a semi-supervised fashion. We provide a set of baselines for different feature extractors that can be built upon. Additionally, we perform qualitative evaluations on results from PCA embeddings, where we identify some clustering of known subtypes indicating the potential for representation learning in arrhythmia sub-type discovery.
Key facts. Cited by 13 papers in the map (data through 14 Oct 2026). First posted on arXiv 21 Oct 2019.
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Citing papers per year: 2022: 1; 2023: 0; 2024: 3; 2025: 5; 2026: 4.
13 papers.
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- 2024Large Language Model Benchmarks in Medical Taskscited by 17
- 2025CLEF: Clinically-Guided Contrastive Learning for Electrocardiogram Foundation Modelscited by 7
- 2024Transfer Learning in ECG Diagnosis: Is It Effective?cited by 3
- 2024HeartBERT: A Self-Supervised ECG Embedding Model for Efficient and Effective Medical Signal Analysiscited by 3
- 2022Evaluating Feature Attribution Methods for Electrocardiogramcited by 0
- 2025Parallel-Learning of Invariant and Tempo-variant Attributes of Single-Lead Cardiac Signals: PLITAcited by 0
- 2025uPVC-Net: A Universal Premature Ventricular Contraction Detection Deep Learning Algorithmcited by 0
- 2025Scaling to Multimodal and Multichannel Heart Sound Classification with Synthetic and Augmented Biosignalscited by 0
- 2025Multi-Window Temporal Analysis for Enhanced Arrhythmia Classification: Leveraging Long-Range Dependencies in Electrocardiogram Signalscited by 0
- 2026Task- and Metric-Specific Signal Quality Indices for Medical Time Seriescited by 0
- 2026The Impact of Temporal Context Length and Encoding Strategies on Self-Supervised ECG Representation Learningcited by 0
- 2026Beat-Synchronous Tokenization for ECG Transformerscited by 0
- 2026ECG-Scroll: A Long-Horizon, Streaming Benchmark and Agent Environment for Interpretation of Ambulatory Electrocardiograms27 Sep 2026
- 2026Beat-Synchronous Tokenization for ECG Transformers31 Aug 2026
- 2026The Impact of Temporal Context Length and Encoding Strategies on Self-Supervised ECG Representation Learning13 Aug 2026
- 2026Task- and Metric-Specific Signal Quality Indices for Medical Time Series12 Feb 2026
- 2025CLEF: Clinically-Guided Contrastive Learning for Electrocardiogram Foundation Models1 Dec 2025
- 2025Multi-Window Temporal Analysis for Enhanced Arrhythmia Classification: Leveraging Long-Range Dependencies in Electrocardiogram Signals20 Oct 2025
- 2025Scaling to Multimodal and Multichannel Heart Sound Classification with Synthetic and Augmented Biosignals15 Sep 2025
- 2025uPVC-Net: A Universal Premature Ventricular Contraction Detection Deep Learning Algorithm12 Jun 2025
- 2025Parallel-Learning of Invariant and Tempo-variant Attributes of Single-Lead Cardiac Signals: PLITA28 Feb 2025
- 2024HeartBERT: A Self-Supervised ECG Embedding Model for Efficient and Effective Medical Signal Analysis8 Nov 2024
- 2024Large Language Model Benchmarks in Medical Tasks28 Oct 2024
- 2024Transfer Learning in ECG Diagnosis: Is It Effective?3 Feb 2024
1 more
- 2022Evaluating Feature Attribution Methods for Electrocardiogram23 Nov 2022
- 2024Large Language Model Benchmarks in Medical Taskscited by 17
- 2025CLEF: Clinically-Guided Contrastive Learning for Electrocardiogram Foundation Modelscited by 7
- 2024Transfer Learning in ECG Diagnosis: Is It Effective?cited by 3
- 2024HeartBERT: A Self-Supervised ECG Embedding Model for Efficient and Effective Medical Signal Analysiscited by 3
- 2022Evaluating Feature Attribution Methods for Electrocardiogramcited by 0
- 2025Parallel-Learning of Invariant and Tempo-variant Attributes of Single-Lead Cardiac Signals: PLITAcited by 0
- 2025uPVC-Net: A Universal Premature Ventricular Contraction Detection Deep Learning Algorithmcited by 0
- 2025Scaling to Multimodal and Multichannel Heart Sound Classification with Synthetic and Augmented Biosignalscited by 0
- 2025Multi-Window Temporal Analysis for Enhanced Arrhythmia Classification: Leveraging Long-Range Dependencies in Electrocardiogram Signalscited by 0
- 2026Task- and Metric-Specific Signal Quality Indices for Medical Time Seriescited by 0
- 2026The Impact of Temporal Context Length and Encoding Strategies on Self-Supervised ECG Representation Learningcited by 0
- 2026Beat-Synchronous Tokenization for ECG Transformerscited by 0
12 most cited of 13 All 13 (JSON)
- 2026ECG-Scroll: A Long-Horizon, Streaming Benchmark and Agent Environment for Interpretation of Ambulatory Electrocardiograms27 Sep 2026
- 2026Beat-Synchronous Tokenization for ECG Transformers31 Aug 2026
- 2026The Impact of Temporal Context Length and Encoding Strategies on Self-Supervised ECG Representation Learning13 Aug 2026
- 2026Task- and Metric-Specific Signal Quality Indices for Medical Time Series12 Feb 2026
- 2025CLEF: Clinically-Guided Contrastive Learning for Electrocardiogram Foundation Models1 Dec 2025
- 2025Multi-Window Temporal Analysis for Enhanced Arrhythmia Classification: Leveraging Long-Range Dependencies in Electrocardiogram Signals20 Oct 2025
- 2025Scaling to Multimodal and Multichannel Heart Sound Classification with Synthetic and Augmented Biosignals15 Sep 2025
- 2025uPVC-Net: A Universal Premature Ventricular Contraction Detection Deep Learning Algorithm12 Jun 2025
- 2025Parallel-Learning of Invariant and Tempo-variant Attributes of Single-Lead Cardiac Signals: PLITA28 Feb 2025
- 2024HeartBERT: A Self-Supervised ECG Embedding Model for Efficient and Effective Medical Signal Analysis8 Nov 2024
- 2024Large Language Model Benchmarks in Medical Tasks28 Oct 2024
- 2024Transfer Learning in ECG Diagnosis: Is It Effective?3 Feb 2024
12 newest of 13 All 13 (JSON)