Publications citing Icentia11k Single Lead Continuous Raw Electrocardiogram Dataset v1.0

Holtercare-Bench: A Multimodal Benchmark for Evaluating Long-Term Dynamic ECG Analysis
Yihan Xie, Hanwen Cui, Runze Ye et al. ACM International Conference on Multimedia (ACM MM), 2026. Cites: dataset

Measured, not labelled: un-analyzable input versus misclassification in single-lead wearable ECG
Yunfei Cheng, Peng Deng, Yun Lian et al. Physiological Measurement, 2026. Cites: dataset

Transport What Shares the Conduction Pathway: Normal-Anchored SPD Geometric Transport for Source-Free Patient Adaptation of Holter and Patch ECG
Jinkook Kim. arXiv (Cornell University), 2026. Cites: dataset

Personalized deep learning for short-term forecasting of impending atrial fibrillation from continuous wearable ECG signals
Jangwon Suh, Soonil Kwon, Jungmin Ko et al. Scientific Reports, 2026. Cites: dataset

Machine Intelligence on the Edge: Interpretable Cardiac Pattern Localization Using Reinforcement Learning
Haozhe Tian, Qiyu Rao, Nina Moutonnet et al. Machine Intelligence Research, 2026. Cites: dataset

Large Language Model Benchmarks in Medical Tasks
Lawrence K.Q. Yan, Qian Niu, Ming Li et al. Medicine Advances, 2026. Cites: dataset

From chaos to care: Personalized AI for early cardiac arrhythmia warning
Suvankar Halder, Christopher M. Kim, Vipul Periwal. Machine Learning with Applications, 2026. Cites: dataset

ECG Foundation Models and Medical LLMs for Agentic Cardiovascular Intelligence at the Edge: A Review and Outlook
Mudassir Hasan Khan, Ahmad Nayfeh, Mudassir Masood et al. arXiv (Cornell University), 2026. Cites: dataset

uPVC-Net: A Universal Premature Ventricular Contraction Detection Deep Learning Algorithm
Hagai Hamami, Yosef A. Solewicz, Dror Zur et al. IEEE Transactions on Biomedical Engineering, 2026. Cites: dataset

Multi-window temporal analysis for enhanced arrhythmia classification: leveraging long-range dependencies in electrocardiogram signals
Tiezhi Wang, Wilhelm Haverkamp, Nils Strodthoff. Physiological Measurement, 2026. Cites: dataset

Collection of Ambulatory Electrocardiogram and Behavioral Data for the Identification of Digital Biomarkers for Heart Failure (CATCH-ECG): Protocol for a Prospective Cohort Study
Jakob E. Bardram, Gouthamaan Manimaran, Chloë Cammaerts et al. JMIR Research Protocols, 2025. Cites: dataset

Dependence of premature ventricular complexes on heart rate—it’s not that simple
Adrien Osakwe, Noah Wightman, Marc William Deyell et al. Journal of the American Medical Informatics Association, 2025. Cites: dataset

Cross-device federated unsupervised learning for the detection of anomalies in single-lead electrocardiogram signals
Maximilian Kapsecker, Stephan Jonas. PLOS Digital Health, 2025. Cites: dataset

SHDB-AF: a Japanese Holter ECG database of atrial fibrillation
Kenta Tsutsui, Shany Brimer Biton, Noam Ben-Moshe et al. Scientific Data, 2025. Cites: dataset

Visual interpretation of deep learning model in ECG classification: A comprehensive evaluation of feature attribution methods
Jangwon Suh, Jimyeong Kim, Soonil Kwon et al. Computers in Biology and Medicine, 2024. Cites: dataset

ECG-Based Stress Detection and Productivity Factors Monitoring: The Real-Time Production Factory System
Massimiliano Donati, Martina Olivelli, Romano Giovannini et al. Sensors, 2023. Cites: dataset

Evaluating Feature Attribution Methods for Electrocardiogram
Suh, Jangwon, Jimyeong Kim, Jung, Euna et al. arXiv (Cornell University), 2022. Cites: dataset

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