Amir-Hofo/AI_in_Biomedical_Data

This educational repository focuses on working with three types of medical data: tabular data, ECG and EEG signals. It provides implementations of machine learning and deep learning models for processing and analyzing these medical data, with practical projects based on recent research articles.

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fparismusic/ECG_classification

The main topic of this project is ECG classification based on rhythmic features.

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Miguel546/algoritmoArritmias

Aplicación para detección de arritmias probado con la base de datos de arritmias del MIT-BIH 24 Horas.

Language: MATLAB - Size: 101 MB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 2 - Forks: 0

koen-aerts/ECG_ML

Machine Learning on ECG to predict heart-beat classification.

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davikawasaki/arrhythmia-ecg-analysis-ai

Arrhythmia Classification through Characteristics Extraction with Discrete Wavelet Transform & WEKA/MATLAB Supervised Training

Language: TeX - Size: 27.5 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 30 - Forks: 20

niekheinen/ecg-classification

Code for training and evaluating CNNs to classify ECG signals from the MIT-BIH arrhythmia database.

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antimattercorrade/Pan_Tompkins_QRS_Detection

Pan Tompkins QRS Wave Detection Algorithm Python Implementation

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adityatripathiiit/Pan_Tompkins_QRS_Detection

Python Implementation of Pan Tompkins Algorithm for QRS peak detection

Language: Jupyter Notebook - Size: 18.4 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 6 - Forks: 2

4ldk/LCCNN

Language: Python - Size: 24.4 KB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

davikawasaki/arrhythmia-ecg-analysis-pds

Arrhythmia Classification through Characteristics Extraction with Discrete Wavelet Transform & Machine Learning

Language: TeX - Size: 28.1 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 19 - Forks: 12