Publications citing MIT-BIH Arrhythmia Database v1.0.0

B-LIME: An Improvement of LIME for Interpretable Deep Learning Classification of Cardiac Arrhythmia from ECG Signals
Talal A. A. Abdullah, Mohd Soperi Mohd Zahid, Waleed Ali et al. Processes, 2023. Cites: dataset

Algorithm for Mobile Platform-Based Real-Time QRS Detection
Luca Neri, Matt T. Oberdier, Antonio Augello et al. Sensors, 2023. Cites: dataset

ECG Signal Processing using an Optimized Sliding Window Approach for Concept Drift Detection and Adaption
Ketan Sanjay Desale, Swati V. Shinde. Journal of Engineering Science and Technology Review, 2023. Cites: dataset

LabVIEW Implementation of Bio-signal Zero-Watermarking Using Tchebichef Moments
Achraf Daoui, Mohamed Yamni, Hicham Karmouni et al. Lecture notes in networks and systems, 2023. Cites: dataset

Interpretable Machine Learning Techniques in ECG-Based Heart Disease Classification: A Systematic Review
Yehualashet Megersa Ayano, Friedhelm Schwenker, Bisrat Derebssa Dufera et al. Diagnostics, 2022. Cites: dataset

Denoising method of ECG signal based on Channel Attention Mechanism
Junwei Zhang, Rui Bao, Lirong Wang et al. IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom), 2022. Cites: dataset

Explainable Deep Learning Model for Cardiac Arrhythmia Classification
Talal A. A. Abdullah, Mohd Soperi Mohd Zahid, Tong Boon Tang et al. International Conference on Future Trends in Smart Communities (ICFTSC), 2022. Cites: dataset

A Robustness Evaluation of Machine Learning Algorithms for ECG Myocardial Infarction Detection
Mohamed Sraitih, Younes Jabrane, Amir Hajjam El Hassani. Journal of Clinical Medicine, 2022. Cites: dataset

Joint ECG–EMG–EEG signal compression and reconstruction with incremental multimodal autoencoder approach
Evangelin Dasan, Rajakumar Gnanaraj. Circuits Systems and Signal Processing, 2022. Cites: dataset

A Lightweight CNN to Identify Cardiac Arrhythmia Using 2D ECG Images
Sara El Omary, Souad Lahrache, Rajae El Ouazzani. Advances in medical diagnosis, treatment, and care (AMDTC) book series, 2022. Cites: dataset

Anomaly detection in time series
Sebastian Schmidl, Phillip Wenig, Thorsten Papenbrock. Proceedings of the VLDB Endowment, 2022. Cites: dataset

TSB-UAD
John Paparrizos, Yuhao Kang, Paul Boniol et al. Proceedings of the VLDB Endowment, 2022. Cites: dataset

Multilinear Karhunen-Loève Transforms
Phil George Howlett, Anatoli Torokhti, Peter J. Pudney et al. IEEE Transactions on Signal Processing, 2022. Cites: dataset

A New ML-based AFIB Detector
Stojancho Tudjarski, Tomislav Ignjatov, Marjan Gušev. Telecommunications Forum (TELFOR), 2021. Cites: dataset

An Automated System for ECG Arrhythmia Detection Using Machine Learning Techniques
Mohamed Sraitih, Younes Jabrane, Amir Hajjam El Hassani. Journal of Clinical Medicine, 2021. Cites: dataset

Data Augmentation for 12-Lead ECG Beat Classification
Edmund Do, Jack Boynton, Byung Suk Lee et al. SN Computer Science, 2021. Cites: dataset

Secure Data Transmission in Internet of Medical Things Using RES-256 Algorithm
Senthil Murugan Nagarajan, Ganesh Gopal Devarajan, U. Senthil Kumaran et al. IEEE Transactions on Industrial Informatics, 2021. Cites: dataset

A novel dynamic Principal Component Analysis method, applied to ECG signals
Máté Baranyi, Marianna Bolla, Gyöngyi Szilágyi Kocsisné. Asilomar Conference on Signals, Systems and Computers (ACSSC), 2021. Cites: dataset

A denoising performance comparison based on ECG Signal Decomposition and local means filtering
Mohamed Sraitih, Younes Jabrane. Biomedical Signal Processing and Control, 2021. Cites: dataset

Efficient Methods for Signal Processing Using Charlier Moments and Artificial Bee Colony Algorithm
Achraf Daoui, Hicham Karmouni, Mhamed Sayyouri et al. Circuits Systems and Signal Processing, 2021. Cites: dataset

Authentication based on electrocardiography signals and machine learning
Silas Leite Albuquerque, Cristiano Jacques Miosso, Adson Ferreira da Rocha et al. Engineering Research Express, 2021. Cites: dataset

ECG Heartbeat Classification: A Comparative Performance Analysis between One and Two Dimensional Convolutional Neural Network
Alif Bin Abdul Qayyum, Tanveerul Islam, Md. Aynal Haque. IEEE International Conference on Biomedical Engineering, Computer and Information Technology for Health (BECITHCON), 2019. Cites: dataset

Investigation on Daubechies Wavelet-Based Compressed Sensing Matrices for ECG Compression
Yuvraj V. Parkale, Sanjay Laxmikant Nalbalwar. Advances in intelligent systems and computing, 2018. Cites: dataset

New Modified SPIHT Algorithm for Data Compression System
Rong-Choi Lee, King‐Chu Hung. Journal of Medical and Biological Engineering, 2018. Cites: dataset

ECG signal performance de-noising assessment based on threshold tuning of dual-tree wavelet transform
Oussama El B’charri, Rachid Latif, Khalifa Elmansouri et al. BioMedical Engineering OnLine, 2017. Cites: dataset

Diagnostic advantages of a long-term Holter ECG monitoring compared to a standard 24-hour monitoring
Ю Н Горожанцев. Bulletin of Russian State Medical University, 2016. Cites: dataset

Selection of Optimal Parameters for ECG Signal Smoothing and Baseline Drift Removal
Dejan Stantić, Jun Hyung Jo. Computer and Information Science, 2014. Cites: dataset

AUTOMATIC ARRHYTHMIAS DETECTION USING VARIOUS TYPES OF ARTIFICIAL NEURAL NETWORK BASED LEARNING VECTOR QUANTIZATION (LVQ)
Diane Fitria, Muhammad Anwar Ma’Sum, Elly Matul Imah et al. Jurnal Ilmu Komputer dan Informasi, 2014. Cites: dataset

An ECG intelligent monitoring system with MSP430 microcontroller
Yan Zhang, Yi Tian, Zhaobin Wang et al. International Workshop on Systems, Signal Processing and their Applications, 2013. Cites: dataset

Temporal reasoning based automatic arrhythmias recognition
Fei Wang, Guy Carrault, René Quiniou et al. IEEE International Conference on Robotics, Intelligent Systems and Signal Processing, 2004. Cites: dataset

Cited by