arrythmia-detection

Here are 6 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

Abdelmalek05 / ecg-arrhythmia

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Heartbeat arrhythmia classification with a neural network written from scratch in NumPy — forward/backward propagation, optimisers and regularisation by hand, verified against PyTorch to 1e-17. Patient-disjoint evaluation on MIT-BIH, 216 logged experiments, and a documented model-selection failure.

machine-learning deep-learning neural-network numpy pytorch ecg healthcare physionet backpropagation from-scratch deep-learning-specialization mit-bih ecg-classification gradient-checking biomedical-signal-processing arrythmia-detection

Updated Aug 27, 2026
Jupyter Notebook

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

wujciak / ecg-arrhythmia-classification

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Heartbeat classification on MIT-BIH (AAMI N/S/V/F) with LSTM and CNN-LSTM in Keras, evaluated on unseen patients (de Chazal DS1/DS2) against a leaky random-beat split.

deep-learning time-series tensorflow keras cnn ecg lstm physionet mit-bih biomedical-signal-processing medical-ai arrythmia-detection

Updated Oct 27, 2026
Python

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.