Cited by

MIT-BIH Normal Sinus Rhythm Database (v1.0.0)

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15 publications cite any version of this project, newest first.

• 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.
• Synchronous post-exercise electrocardiogram, phonocardiogram, photoplethysmograms and seismocardiogram
  Aleksandar Lazović, Vladimir A. Atanasoski, Predrag R. Tadic et al. Scientific Data, 2025.
• EffNet: an efficient one-dimensional convolutional neural networks for efficient classification of long-term ECG fragments
  Bilal Ashraf, Husan Ali, Muhammad Aseer Khan et al. Biomedical Physics & Engineering Express, 2025.
• A systematic review of automated prediction of sudden cardiac death using ECG signals
  Preeti P. Ghasad, Jagath V S Vegivada, Vipin Milind Kamble et al. Physiological Measurement, 2024.
• Revealing alterations in heart rate fluctuations during the progression of Chagas disease
  Magdalena Maria Defeo, Laura Delaplace, Juan Carlos Goin et al. Frontiers in Medicine, 2024.
• Tools for Healthcare Data Lake Infrastructure Benchmarking
  Tommaso Dolci, Lorenzo Amata, Carlo Manco et al. Information Systems Frontiers, 2024.
• Accurate QT correction method from transfer entropy
  E. Räsänen, Teemu Pukkila, Matias Kanniainen et al. Cardiovascular Digital Health Journal, 2022.
• A two-step pre-processing tool to remove Gaussian and ectopic noise for heart rate variability analysis
  Shiza Saleem, Ahsan Habib Khandoker, Mohanad Alkhodari et al. Scientific Reports, 2022.
• An efficient honey badger based Faster region CNN for chronc heart Failure prediction
  S. Irin Sherly, G. Mathivanan. Biomedical Signal Processing and Control, 2022.
• Identifikasi Sinyal Congestive Heart Failure dengan Metode Convolutional Neural Network 1D
  Muhammad Adnan Pramudito, Yunendah Nur Fuadah, Rita Magdalena et al. MIND Journal, 2022.
• A clinical study on Atrial Fibrillation, Premature Ventricular Contraction, and Premature Atrial Contraction screening based on an ECG deep learning model
  Jianyuan Hong, Hua‐Jung Li, Chung‐Chi Yang et al. Applied Soft Computing, 2022.
• Optimal Classification of Atrial Fibrillation and Congestive Heart Failure Using Machine Learning
  Yunendah Nur Fuadah, Ki Moo Lim. Frontiers in Physiology, 2022.
• Proposal of a pseudo‐electrocardiogram model incorporating heart rate variability and QT‐interval variability, and its application
  Tomohiro Ueyama, Ayaka Yoshino, Harunobu Nakamura et al. IEEJ Transactions on Electrical and Electronic Engineering, 2022.
• An Effective Data-Driven Diagnostic Strategy for Cardiac Pathology Screening
  Youssef Trardi, Bouchra Ananou, Zouhair Haddi et al. Lecture notes in control and information sciences - proceedings, 2022.
• Authentication based on electrocardiography signals and machine learning
  Silas Leite Albuquerque, Cristiano Jacques Miosso, Adson Ferreira da Rocha et al. Engineering Research Express, 2021.

Citation data from OpenAlex, updated weekly. Papers that use the project without citing it may be missing.