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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Updated
Oct 21, 2020 - Python
Code and Datasets for the paper "Interpretable deep learning for automatic diagnosis of 12-lead electrocardiogram", published on iScience in 2021.
Based on a Hybrid CNN-LSTM Network, an automated predicitve algorithm is constructed.
Predict the type of arrhythmia based on Electro-cardiogram (ECG) tool using machine learning models and algorithms.
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 …
A Computational Analysis on Nicotine Withdrawal and Cardiac Arrhythmia and Their Effects on COVID-19 (Journal of Student Research)
Detect Cardiac Arrhythmia using PCA and MLP, with dimension reduction and binary/multiclass classification.
Repository containing methods applied for the analysis of the data in the SERCA publication
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