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A biomedical signal classifier that combines ECG with a second signal (PPG or accelerometer) in a PyTorch model, served via FastAPI, featuring a Next.js visualization and a Claude API layer that generates a clinical-style explanatory report on detected anomalies (including explicit disclaimer stating that this is a project not a diagnostic tool).
A classical digital signal processing (DSP) library in Python for generating realistic synthetic physiological signals (ECG, EEG, EMG, PPG, EDA, respiration) with parameterized physical noise models.
[DEPRECATED] A C++ library for signal generation, processing, file handling, and visualization using GnuPlot. Includes customizable signal parameters, exception handling, and easy-to-use file I/O and plotting functionalities.