ECG Classification of Normal and Abnormal with GB-DBN Model (pytorch)

• Developed and implemented ensemble-based machine learning models for ECG signal classification, enhancing accuracy and reliability. • Addressed challenges in data preprocessing, feature engineering, and class imbalance in ECG datasets. • Demonstrated the clinical implications of accurate ECG classification for enhanced patient care and diagnosis

Software developed to carry out the End-of-Degree Project PRAFAI (Prediction of Recurrence of Atrial Fibrillation using Artificial Intelligence).

Authentication is an important factor to manage security. The traditional authentication methods are not secure enough to protect the user’s data. So, Using ECG signals as a biometric authentication method is a good solution to solve this problem.

Machine learning-based detection of cardiovascular disease using ECG signals: performance vs. complexity

PyTorch implementation of FCN and LSTM-FCN models for ECG classification

One of the firsts dataset level explanability libraries for 1d signal using GRAD-CAM++

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".

Classifying ecg signal to various types

Neural networks trained to categorize heartbeat ECG's using mitbit and ptbdb datasets

GUI версия проекта по получение ВЭКГ на основе ЭКГ и СППР на основе векторных петель

Применение машинного обучения для для предварительной диагностики патологий сердечного ритма

Archive for an AAI1001 project on Arrhythmia classification with a Temporal Convolutional Network with Grad-CAM Explainability

This repository contains the implementation of a novel approach to identify the subjects using PQRST fragments of the electrocardiogram (ECG) signal.

1D-CNN that is able to predict, in an inter-patient fashion, if a beat is Normal, Premature Ventricular Complex or Premature Atrial Complex relying on only a portion of the ECG.

심장질환 환자 ECG 데이터 분석을 위한 딥러닝 기법 설계 및 경량화 모델 구축

Vit ECG image classification model

Classificação de séries temporais de sinais ECG com redes neurais convolucionais (CNN).