Publications citing MIT-BIH Arrhythmia Database v1.0.0

Physiology-augmented deep representations improve cross-database electrocardiogram beat classification under unseen-domain shift
Mujahid Shahid¹, Oliver Konyo. Research Square, 2026. Cites: dataset

Federated learning with adaptive reliability aware aggregation for privacy preserving healthcare IoT systems
Vishal Barot, Jashvant Dave, Manoj R. et al. Scientific Reports, 2026. Cites: dataset

A Locally Adaptive Multi-Resolution Encoding Framework for Spiking Neural Network based ECG Beat Classification
Sarita Mishra, Siddharth Swarup Rautaray, Rabindra Kumar Barik. F1000Research, 2026. Cites: dataset

Toward Standardized ECG Playback for Simulation-Based Interpretation Training: A Critical Narrative Review and Research Agenda
Fahmi M. Abu‐Owaimer, Sadeq Abu-Dawas, Loai Abu-Owaimer et al. Research Square, 2026. Cites: dataset

A Multi-channel convolutional neural network for ECG signal classification
Harshini Polavarapu, RAJESH MITUKULA. Engineering Research Express, 2026. Cites: dataset

Wearable-Grade Lead Reduction Disproportionately Degrades ECG AI Performance in Elderly Patients: Evidence from PTB-XL and MIT-BIH
Kabi Raj Tiruwa, Abhisan Ghimire. medRxiv, 2026. Cites: dataset

EdgeECG: a lightweight edge-oriented network with dual criterion pruning for real-time ECG arrhythmia classification
Jiayan Huang, Chuansheng Wang, Antoni Grau et al. Physiological Measurement, 2026. Cites: dataset

A Comprehensive Review of AI-Driven Arrhythmia Detection: From Classical Machine Learning to Quantum Machine Learning With ECG and PPG Signals
Shankar Sachin Nimmaganti, Vishnu Vardhana Reddy Karna. Archives of Computational Methods in Engineering, 2026. Cites: dataset

Automated ECG-Based Diagnosis of Cardiac Disorders Using an Effective Deep Learning Model
Nava Pratim Das, Deepika Hazarika, Nabojwal Acharjee et al. Lecture notes in networks and systems, 2026. Cites: dataset

Synthetic data generation methods for longitudinal and time series health data: a systematic review
Marko Miletic, Murat Sariyar. BMC Medical Informatics and Decision Making, 2025. Cites: dataset

Multi-resolution hybrid sliding window approach for ECG arrhythmia detection using deep learning models
Sai Prasad Potharaju, K. Veera Raghavulu, N. S. Pradeep Kumar et al. Discover Applied Sciences, 2025. Cites: dataset

ECG beat classification with fractional order differentiator and machine learning techniques
H K Prasad Katamreddi, Tirumala Krishna Battula. Biomedical Physics & Engineering Express, 2025. Cites: dataset

Optimized adaptive filtering using genetic algorithm and signal quality index for practical motion artefact reduction in ambulatory ECG
Fotsing Kuetche, Noura Alexendre, Ntsama Eloundou Pascal et al. Engineering Research Express, 2025. Cites: dataset

Advancing cardiac diagnostics: high-accuracy arrhythmia classification with the EGOLF-net model
Deepika Tenepalli, T M Navamani. Frontiers in Physiology, 2025. Cites: dataset

Automation of Electrocardiographic Signal Analysis: Construction of Phase Portraits Based on Real-World Data
Alisa S. Ioronen, Yulia O. Bobrova. International Conference on Soft Computing and Measurements (SCM), 2025. Cites: dataset

A pediatric ECG database with disease diagnosis covering 11643 children
Jian Tan, Haoyi Fan, Jiawei Luo et al. Scientific Data, 2025. Cites: dataset

Securing Digital Twins: MLEVES - A Novel Framework for Multi-Layer Encryption and Adaptive Threat Detection
Siddharth Kumar, Ruhul Amin. 2025. Cites: dataset

Advancing Ai-powered Wearables: a Novel Approach for Real-time Health Monitoring
Bhavani Sankar Telaprolu. Research Square, 2025. Cites: dataset

Repeated heart rate variability monitoring after myocardial infraction – Cohort profile of the MI-ECG study
Teemu Pukkila, Jani Rankinen, Leo‐Pekka Lyytikäinen et al. IJC Heart & Vasculature, 2025. Cites: dataset

The Venus score for the assessment of the quality and trustworthiness of biomedical datasets
Davide Chicco, Alessandro Fabris, Giuseppe Jurman. BioData Mining, 2025. Cites: dataset

Classification of Cardiac Arrhythmias Using 1D and 2D Convolutional Neural Networks
Ana L. Franco, Cristiano Marcos Agulhari, Pedro H. Bugatti et al. Lecture notes in computer science, 2025. Cites: dataset

Detection of ECG Noise Using Optimized Pan-Tompkins Algorithm Combined with Squeeze-UNet
Xuan-Dung Nguyen, An-Dong Bui, Hoang-Dat Tran. World Congress on Medical Physics and Biomedical Engineering, September 7 - 12, 2009, Munich, Germany, 2025. Cites: dataset

Lightweight 2D Squeeze-U-Net Model for Real-Time Noise Detection on Wearable ECG Device
An-Dong Bui, Xuan-Dung Nguyen, Hoang-Dat Tran. World Congress on Medical Physics and Biomedical Engineering, September 7 - 12, 2009, Munich, Germany, 2025. Cites: dataset

Performance comparison of ECG signal compression using EMD and DCT
Neetika Soni. i-manager s Journal on Digital Signal Processing, 2025. Cites: dataset

TeVAE: A Variational Autoencoder Approach for Discrete Online Anomaly Detection in Variable-State Multivariate Time-Series Data
Lucas Correia, Jan-Christoph Goos, Philipp Klein et al. Studies in computational intelligence, 2025. Cites: dataset

The importance of parameter configuration in ECG-based biometric recognition models
Toumi Assia, Toumi Tarek, Réda Adjoudj et al. STUDIES IN ENGINEERING AND EXACT SCIENCES, 2024. Cites: dataset

Cardiac Condition Detection Model Using Alexnet and Time-Frequency Representation of ECG Signals
Mihai Aron, Teofil Ilie Ursache, Gladiola Gabriela Petroiu et al. E-Health and Bioengineering Conference (EHB), 2024. Cites: dataset

Evaluating the Impact of Windowing Techniques on Fourier Transform-Preprocessed Signals for Deep Learning-Based ECG Classification
Niken Prasasti Martono, Hayato Ohwada. Hearts, 2024. Cites: dataset

Explainable Artificial Intelligence: Transitioning DL Model Decisions to User-Understandable Features in Healthcare
Pavlo Radiuk, Olexander Barmak, Eduard Manziuk et al. International Workshop of IT-professionals on Artificial Intelligence (ProfIT AI), 2024. Cites: dataset

An active learning enhanced data programming (ActDP) framework for ECG time series
Priyanka Gupta, Manik Gupta, Vijay Kumar. Machine Learning Science and Technology, 2024. Cites: dataset

Exploring Machine Learning Algorithms for Myocardial Infarction Diagnosis
Sara El Omary, Souad Lahrache, Rajae El Ouazzani. International Conference on Intelligent Systems and Computer Vision (ISCV), 2024. Cites: dataset

Adaptive Filtering Strategies for ECG Signal Enhancement: A Comparative Study
Nadjem Eddine Menaceur, Sofia Kouah, Makhlouf Derdour. International Conference on Pattern Analysis and Intelligent Systems (PAIS), 2024. Cites: dataset

Cost-sensitive learning for imbalanced medical data: a review
Imane Araf, Ali Idri, Ikram Chairi. Artificial Intelligence Review, 2024. Cites: dataset

The deep convolutional networks for the classification of multi-class arrhythmia
Muhamad Akbar, Siti Nurmaini, Radiyati Umi Partan. Bulletin of Electrical Engineering and Informatics, 2024. Cites: dataset

Computational Paradigms for Heart Arrhythmia Detection: Leveraging Neural Networks
Katarína Demčáková, Dávid Vaľko, Norbert Ádám. IEEE World Symposium on Applied Machine Intelligence and Informatics (SAMI), 2024. Cites: dataset

Tools for Healthcare Data Lake Infrastructure Benchmarking
Tommaso Dolci, Lorenzo Amata, Carlo Manco et al. Information Systems Frontiers, 2024. Cites: dataset

Embedding Artificial Intelligence into Wearable IoMT Systems
Steven C. Puckett, Vineetha Menon, Emil Jovanov. Lecture notes in networks and systems, 2024. Cites: dataset

Enhanced ECG signal denoising using hybrid F2IR-IIR-DWT filter banks: A comprehensive approach
Sonali Lohbare, Swati Dixit. AIP conference proceedings, 2024. Cites: dataset

Fractional Order Differintegrators Design Using New First-Order Transforms and Its Applications to ECG Signal
K. Rajasekhar. Lecture notes in electrical engineering, 2024. Cites: dataset

Heart Arrhythmia Detection Through Real-Time ECG Acquisition by Machine Learning Techniques
Vishal Jaimin Vakil, Sneh K. Soni. Lecture notes in networks and systems, 2024. Cites: dataset

Investigating the Performance of CNN Feature Extractor-Based LSTM and GRU variants for Time Series Classification
Niels Schneider, Matthias Lermer, Christoph Reich. Procedia Computer Science, 2024. Cites: dataset

An Effective Preprocessing Data on Performance of Machine Learning for ECG-Based Personal Authentication
Dodon Turianto Nugrahadi, Mohammad Reza Faisal, Rudy Herteno et al. International Conference on Sustainable Information Engineering and Technology (SIET), 2023. Cites: dataset

A Neural-ADC-Compatible Fully-Dynamic Lossless Adaptive Resolution Compression Technique for Energy-Constrained Bio-Signal Recording
Mina Sayedi, Hossein Kassiri. IEEE Biomedical Circuits and Systems Conference (BioCAS), 2023. Cites: dataset

Electrocardiography Anomaly Detection
Quang Huy Hoang, Xuan Bach Tran, Le Hieu Nguyen et al. International Conference on Advanced Technologies for Communications, 2023. Cites: dataset

Performance evaluation of Machine Learning models to predict heart attack
Majid Khan, Ghassan Husnain, Waqas Ahmad et al. Machine Graphics and Vision, 2023. Cites: dataset

Classification of Arrhythmia ECG Signals using Convolutional Neural Network
Marija Habijan, Irena Galić, Aleksandra Pižurica. International Conference on Systems, Signals and Image Processing, 2023. Cites: dataset

A High Performance Accelerating CNN Inference on FPGA with Arrhythmia Classification
Ming-Yueh Ku, Zhong Tai-Siang, Yi‐Ting Hsieh et al. IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS), 2023. Cites: dataset

Advancing AI-Powered Wearables - A Novel Approach for Real-Time Health Monitoring
Bhavani Sankar Telaprolu. International Journal of Scientific Research in Computer Science Engineering and Information Technology, 2023. Cites: dataset

Classification of Arrhythmias Using a Pre-trained Deep Learning Model with Binary Images of Segmented ECG
Hanadi Solieman, S. Sali. Journal of the Russian Universities Radioelectronics, 2023. Cites: dataset

Multilayer extreme learning machine-based unsupervised deep feature representation for heartbeat classification
Yuefan Xu, Luyao Liu, Sen Zhang et al. Soft Computing, 2023. Cites: dataset

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