Alternatives and similar repositories for MINA:

Users that are interested in MINA are comparing it to the libraries listed below

• hsd1503 / ENCASE
  Deep Learning on ECG, the First place in the PhysioNet/CinC Challenge 2017 (F1=0.83)
  ☆40Updated 4 years ago
• Amadeuszhao / SE-ECGNet
  ☆31Updated 4 years ago
• madao33 / ECG-Classfier
  a ecg classfier based on PTB-XL database
  ☆31Updated 3 years ago
• jergusadamec / ecg-deep-segmentation
  Design and implementation of deep learning models trained for automated annotation of ecg signal with various preprocessing steps.
  ☆76Updated 2 years ago
• WhatAShot / Electrocardio-Panorama
  The codes of paper "Electrocardio Panorama: Synthesizing New ECG views with Self-supervision"
  ☆49Updated last month
• victorkifer / ecg-af-detection-physionet-2017
  AF Classification from a short single lead ECG recording: the PhysioNet/Computing in Cardiology Challenge 2017
  ☆23Updated 6 years ago
• tmehari / ecg-selfsupervised
  Self-supervised representation learning from 12-lead ECG data
  ☆82Updated 3 years ago
• tom-beer / Arrhythmia-CNN
  Arrhythmia detection using deep convolutional neural network with long duration ECG signals
  ☆24Updated 5 years ago
• onlyzdd / ecg-diagnosis
  Deep learning for 12-lead ECG interpretation
  ☆135Updated 3 years ago
• ChihHanHuang / Deep-learning-ECG-The-China-Physiological-Signal-Challenge-2018-champion
  The model and the code of The China Physiological Signal Challenge 2018 champion
  ☆32Updated 2 years ago
• yangenshen / FusingTransformerModelwithTemporalFeaturesforECGHeartbeatClassification
  ☆33Updated 4 years ago
• animikhaich / 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 tra…
  ☆48Updated 4 years ago
• StefanHeng / ECG-Representation-Learning
  Self-supervised pre-training for ECG representation with inspiration from transformers & computer vision
  ☆23Updated 2 years ago
• Bsingstad / PhysioNet-CinC-Challenge2020-TeamUIO
  Public repository associated with: Convolutional Neural Network and Rule-Based Algorithms for Classifying 12-lead ECGs
  ☆28Updated last year
• Brophy-E / ECG_GAN_MBD
  This repository is for the paper "Synthesis of Realistic ECG using Generative Adversarial Networks".
  ☆55Updated 4 years ago
• ydup / Anomaly-Detection-in-Time-Series-with-Triadic-Motif-Fields
  Anomaly Detection in Time Series with Triadic Motif Fields and Application in Atrial Fibrillation ECG Classification
  ☆36Updated 3 years ago
• physionetchallenges / evaluation-2020
  Evaluation code for the PhysioNet/Computing in Cardiology Challenge 2020
  ☆26Updated 3 years ago
• kweimann / ecg-transfer-learning
  ☆71Updated 4 years ago
• DeepPSP / cinc2020
  Classification of 12-lead ECGs: the PhysioNet - Computing in Cardiology Challenge 2020
  ☆12Updated last year
• yshanyes / Pytorch-ECG-Classifier-Cinc2020-Official
  This is a PyTorch implementation of "Multi-label Classification of Electrocardiogram with Modified Residual Networks" paper.
  ☆18Updated 4 years ago
• Seb-Good / deepecg
  A library for classifying single-lead ECG waveforms as either Normal Sinus Rhythm, Atrial Fibrillation, or Other Rhythm.
  ☆74Updated 2 years ago
• likith012 / IMLE-Net
  Official implementation of our IEEE:SMC 2021 paper "IMLE-Net: An Interpretable Multi-level Multi-channel Model for ECG Classification"
  ☆29Updated last year
• acrarshin / RPNet
  A Deep Learning approach for robust R Peak detection in noisy ECG.
  ☆40Updated last year
• yruffiner / ecg-classification
  ☆52Updated 6 years ago
• hsd1503 / DL-ECG-Review
  A Review of Deep Learning Methods on ECG Data
  ☆226Updated 4 years ago
• Elgendi / ECG-Hearbeats-Classification-using-CNN-BiLSTM
  Deep Learning Algorithm Classifies Heartbeat Events Based on Electrocardiogram Signals
  ☆20Updated 4 years ago
• HAadams / af-classification-pytorch
  Atrial Fibrillation Classification From a Short Single Lead ECG Signal using CNN
  ☆9Updated 3 years ago
• mah533 / Augmentation-of-ECG-Training-Dataset-with-CGAN
  Imbalanced MIT-BIH dataset is augmented with the generated beats by WGAN-GP and AC-WGAN-GP to improve the classification metrics.
  ☆32Updated last year
• Seb-Good / physionet-challenge-2020
  Classification of 12-lead ECGs: the PhysioNet/Computing in Cardiology Challenge 2020
  ☆23Updated 4 years ago
• cay846545867 / MITAB_ECG_CNN_Classification
  Basic Algorithm For Beginners （Python version）
  ☆54Updated 5 years ago