Code and Datasets for the paper "Interpretable deep learning for automatic diagnosis of 12-lead electrocardiogram", published on iScience in 2021.
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Oct 21, 2020 - Python
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cardiac-arrhythmia
Here are 9 public repositories matching this topic...
Based on a Hybrid CNN-LSTM Network, an automated predicitve algorithm is constructed.
python deep-learning time-series cnn convolutional-neural-networks long-short-term-memory cnn-lstm cardiac-arrhythmia
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Jul 19, 2023 - Python
Predict the type of arrhythmia based on Electro-cardiogram (ECG) tool using machine learning models and algorithms.
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Nov 28, 2020 - Jupyter Notebook
Yolohtli is a 2D cardiac electrophysiology solver developed in C/CUDA parallel programming language. The solver has many functionalities to facilitate the user experience and analysis. These include easy to use loading/saving options, keyboard/mouse user interactivity, and real time OpenGL graphics. Moreover, several non-standard functions have …
c opengl cpp matlab parallel-computing cuda computational-biology partial-differential-equations user-interface reaction-diffusion numerical-methods symmetry numerical-integration numerical-simulations numerical-analysis cardiac-dynamics advection-diffusion cardiac-arrhythmia
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Dec 6, 2021 - Cuda
Classify the image of atrial fibrillation and normal sinus rhythm using mobile net
wfdb atrial-fibrillation mobilenetv2 ecg-classification tensorflow2 mobilenetv3 efficientnet cardiac-arrhythmia
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Mar 10, 2025 - Jupyter Notebook
This repo contributes the usage of long term Atrial Fibrillation database to collect four types of cardiac arrhythmias data.
python3 data-analysis segmentation ecg-signal wfdb atrial-fibrillation ecg-classification cardiac-arrhythmia neurokit2
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Dec 2, 2024 - Python
A Computational Analysis on Nicotine Withdrawal and Cardiac Arrhythmia and Their Effects on COVID-19 (Journal of Student Research)
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Aug 24, 2021 - Jupyter Notebook
Detect Cardiac Arrhythmia using PCA and MLP, with dimension reduction and binary/multiclass classification.
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May 26, 2023 - Jupyter Notebook
Repository containing methods applied for the analysis of the data in the SERCA publication
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Sep 7, 2022 - R
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