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".

Atrial Fibrillation Detection Blood Pressure Monitor (Oscillometric Method)

Code for Optimized Arrhythmia Detection on Ultra-Edge Devices

Atrial tachyarrhythmias such as atrial fibrillation (AFib) predispose to ventricular arrhythmias, sudden cardiac death and stroke. The complex and rapid atrial electrical activity makes it difficult to obtain detailed information on atrial activation during fibrillatory conditions. However, ectopic foci are often involved in initiating and susta…

AFib (Atrial Fibrillation) Classification Models for ECG (Electrocardiography) Signals using Tensorflow and Scikit-learn

Data Science Project - Time Series & Data Mining

My Research from the QAO REU 2024 Program

❤️ 💾 Collections of python scripts to store ECG data with SQLite

Signal Processing Project

atrial-fibrillation-detection

Deep learning based ECG heart beat classifier: Detection and classification of premature ectopic heartbeats.Signal Preprocessing, CNNs, Residual Learning, Class imbalance, Data syntehsis (SMOTE).