This dataset is a denoised version of the CPSC dataset presented in Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 20201. This dataset was used as part of the article A Lightweight and Interpretable Model to classify Bundle Branch Blocks from ECG Signals. 1)Perez Alday, E. A., Gu, A., Shah, A., Liu, C., Sharma, A., Seyedi, S., Bahrami Rad, A., Reyna, M., & Clifford, G. D. (2020). Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 (version 1.0.1). PhysioNet. https://doi.org/10.13026/f4ab-0814
Widely developed for clinical screening, electrocardiogram (ECG) recordings capture the cardiac elec...
The reduced lead set in this study consists of a subset of 12-lead set with all the same limb leads,...
The 12-lead electrocardiogram (ECG) is a major diagnostic test for cardiovascular diseases and enhan...
The PhysioNet/Computing in Cardiology (CinC) Challenge 2017 focused on differentiating AF from noise...
The automatic detection and classification of cardiac abnormalities can assist physicians in making ...
Manual rhythm classification in 12-lead ECGs is time-consuming and operator-biased. We present an au...
This test dataset comprised of 828 ECGs, where patients were not included in the training/validation...
Automated interpretation of the 12-lead ECG has remained an underpinning interest in decades of rese...
Background - Twelve lead ECGs are a core diagnostic tool for cardiovascular diseases. Here, we descr...
Cardiovascular disease is the leading cause of death worldwide. The twelve-lead electrocardiogram (E...
The electrocardiogram (ECG) is considered a fundamental of cardiology. The ECG consists of P, QRS, a...
In this work we studied the improvement achieved by in-cluding information from the 12 ECG leads, in...
AIMS: Ventricular conduction disorders can induce arrhythmias and impair cardiac function. Bundle br...
The research activity contained in the present thesis work is devoted to the development of novel Ma...
Abstract Background Signal delineation of a standard 12-lead electrocardiogram (ECG) is a decisive s...
Widely developed for clinical screening, electrocardiogram (ECG) recordings capture the cardiac elec...
The reduced lead set in this study consists of a subset of 12-lead set with all the same limb leads,...
The 12-lead electrocardiogram (ECG) is a major diagnostic test for cardiovascular diseases and enhan...
The PhysioNet/Computing in Cardiology (CinC) Challenge 2017 focused on differentiating AF from noise...
The automatic detection and classification of cardiac abnormalities can assist physicians in making ...
Manual rhythm classification in 12-lead ECGs is time-consuming and operator-biased. We present an au...
This test dataset comprised of 828 ECGs, where patients were not included in the training/validation...
Automated interpretation of the 12-lead ECG has remained an underpinning interest in decades of rese...
Background - Twelve lead ECGs are a core diagnostic tool for cardiovascular diseases. Here, we descr...
Cardiovascular disease is the leading cause of death worldwide. The twelve-lead electrocardiogram (E...
The electrocardiogram (ECG) is considered a fundamental of cardiology. The ECG consists of P, QRS, a...
In this work we studied the improvement achieved by in-cluding information from the 12 ECG leads, in...
AIMS: Ventricular conduction disorders can induce arrhythmias and impair cardiac function. Bundle br...
The research activity contained in the present thesis work is devoted to the development of novel Ma...
Abstract Background Signal delineation of a standard 12-lead electrocardiogram (ECG) is a decisive s...
Widely developed for clinical screening, electrocardiogram (ECG) recordings capture the cardiac elec...
The reduced lead set in this study consists of a subset of 12-lead set with all the same limb leads,...
The 12-lead electrocardiogram (ECG) is a major diagnostic test for cardiovascular diseases and enhan...