arrythmia-detection

Here are 3 public repositories matching this topic...

Ayush2649 / Improving-Clinical-Usability-of-Automated-Arrhythmia-Detection-with-an-Explainable-1D-CNN

An explainable deep learning system for automated ECG arrhythmia detection using a hybrid 1D CNN–LSTM model with Grad-CAM–based clinical interpretability.

python deep-learning tensorflow grad-cam cnn ecg lstm time-series-analysis mit-bih explainable-ai medical-ai healthcare-ai arrythmia-detection

Updated Oct 26, 2025
Jupyter Notebook

riyagupta1106 / ecg-arrhythmia-system

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Deep Learning-based ECG Arrhythmia Classification using CNN + BiLSTM to detect cardiac patterns with performance analysis and interactive Streamlit visualization.

python deep-learning time-series tensorflow cnn bilstm ecg-classification medical-ai streamlit healtcare-ai arrythmia-detection

Updated May 3, 2026
Python

justin-gahona / ecg-arrhythmia-classifier-stm32

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Real-time ECG arrhythmia classification on STM32F446RE using a 1-D CNN and ST X-CUBE-AI — trained on MIT-BIH, 98.14% accuracy, 460 KiB flash footprint

stm32 cnn ecg mit-bih-database x-cube-ai edge-ai embedded-ml arrythmia-detection

Updated Jun 16, 2026
C

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