Signal denoiser
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Updated
Nov 3, 2025 - Jupyter Notebook
Signal denoiser
Classify between different individuals based on their ECG signal
Polar Browser - Connected Polar Smart Watch via Bluetooth Low Energy (BLE) to a Browser to acces live heart rate data. Transformed heart rate real time ECG. Written in JavaScript, HTML, CSS
GUI for cardiac signal processing
ARCHIVED - Effect of sparse Dictionary learning on the quality of recovery in Compressive sensing , porting from MATLAB to Python https://github.com/hadizand/DL_CS_ECG
This project classifies ECG Signal as AF(Atrial Fibrillation) or Non-AF(All other rhythms).This project consist of 2 different models. A custom cnn and a transfer learning model. These model are doing the same thing with different approaches.
Classifying ecg signal to various types
ARCHIVED - Kronecker technique for improving quality of the signal in compressive sensing recovery. Transposing to Python, to the best of my ability, the work from https://github.com/hadizand/Kronecker-based-CS-recovery. (Originally in MATLAB)
Two projects about signal processing methods like filters, ECG, phone audio
Chỉ là một trang giới thiệu
Thesis conducted in collaboration with the ETH Zurich for obtaining the Master's degree in Biomedical Engineering from Politecnico di Milano
This project processes ECG signals using Symlet wavelet transform in Python, collecting data from the Olimex EKG/EMG shield. It includes real-time data acquisition with Node.js, allowing users to analyze signal variance and visualize wavelet transformations.
Repository contains ECG service server base app
A machine learning project for classifying heart rhythms using ECG data, focusing on detecting Atrial Fibrillation and other arrhythmias. 🫀📊
A deep learning project classifying ECG signals using time series models
Explore the potential of PPG as a diagnostic technique for autonomous nerve function (Clinical Informatics and Telehealth Systems Class)
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