ECG-Atrial-Fibrillation-Classification-Using-CNN
importedsoftware/ecg-atrial-fibrillation-classification-using-cnn
This is a CNN based model which aims to automatically classify the ECG signals of a normal patient vs. a patient with AF and has been trained to achieve up to 93.33% validation accuracy.
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Software & Systems
- Subcategory
- unknown
- License
- MIT(osi)
- Status
- dormant
- Maturity
- deployed
- Organization
- unknown
- Country
- unknown
- Homepage
- animikh.me/
- Documentation
- unknown
- Tags
- 1d-cnn · 1d-convolution · atrial-fibrillation · classification · cnn-classification · cnn-keras · deep-learning · ecg
- Regulatory
- unknown
Top contributors by commit count, from the project’s public repository. Avatars are served by their origin, not stored here. To be removed from this list, open an issue.
Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.
- ECG-classification-using-open-data1d-convolution · classification · ecg
ECG classification using public data and state-of-the-art 1D CNN models. This work is based on George Moody Challenge 2020
- Atrial_fibrillation_detection_EMDatrial-fibrillation · classification · ecg
This repository contains code reproducing an existing method to detect atrial fibrillation using empirical mode decomposition of signals. This was a lecture that I gave for graduate-level BioSignal…
- PhysioNet-CinC-Challenge2020-TeamUIO1d-convolution · ecg
Public repository associated with: Convolutional Neural Network and Rule-Based Algorithms for Classifying 12-lead ECGs
- GlioScanclassification · cnn-classification
IDH Classification for Gliomas using CNN and Transformers.
- napari_svetlanaclassification · cnn-classification
The aim of this plugin is to classify the output of a segmentation algorithm
- automatic-ecg-diagnosisatrial-fibrillation · ecg
Scripts and modules for training and testing neural network for ECG automatic classification. Companion code to the paper "Automatic diagnosis of the 12-lead ECG using a deep neural network".
- api.github.com/repos/animikhaich/ECG-Atrial-Fibrillation-Classification-Using-CNNretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2021-03-21, 52 stars, license reported as MIT. Category and schematic were assigned by keyword heuristics and are unreviewed.
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