Takes data from the atrial fibrillation database from Physionet, and attempts to detect that atrial fibrillation using a number of statistical methods. Matlab code.
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Updated
Dec 13, 2019 - MATLAB
Takes data from the atrial fibrillation database from Physionet, and attempts to detect that atrial fibrillation using a number of statistical methods. Matlab code.
Identifying alterations in the cardiac ventricles using radiomics with an ensemble multi-classifier approach.
Software developed to carry out the End-of-Degree Project PRAFAI (Prediction of Recurrence of Atrial Fibrillation using Artificial Intelligence).
Using deep learning to detect Atrial fibrillation
Feng et al. Front Cardiovasc Med. 2023 Oct 2;10:1189293. doi: 10.3389/fcvm.2023.1189293. eCollection 2023.
Takes data from the atrial fibrillation database from Physionet, and attempts to detect that atrial fibrillation using a number of statistical methods. Matlab code.
💔 Global and Local Prediction in Automatic detection of Atrial Fibrillation
Clinical usefulness of the SAMe-TT2R2 score to predict a poor TTR
In this study we will introduce atrial fibrillation, one of the cardiac arrhythmias, and see how it can be diagnosed using convolutional neural networks in combination with various methods and supervised learning models, including: gray-level co-occurrence matrix, short-time Fourier transform based spectrogram, support-vector machines, k-nearest…
Special Project - CA classification (2019 Fall)
Repository contains codes to run REACT mapping algorithm. REACT maps are a novel approach to identify organized islands in atrial fibrillation.
A Python implementation of a cellular automaton model of atrial fibrillation, an abnormal heart rhythm.
This system object can be used to detect Atrial Fibrillation in an ECG signal
Signal-Processing-and-Pattern-Classification - Atrial fibrillation & PCG classification
A library for classifying single-lead ECG waveforms as either Normal Sinus Rhythm, Atrial Fibrillation, or Other Rhythm.
Basic ontology to represent the article: "Large-Scale Assessment of a Smartwatch to Identify Atrial Fibrillation"
Data Science Project - Time Series & Data Mining
Atrial Fibrilation diagnosis based on the discriminative elements of an ensemble of GANs
A convolutional neural network to detect atrial fibrillation from a single-lead ECG
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