BIO ZOO

SignalForge is an AI-powered educational biomedical signal analysis platform designed to help students and researchers understand biomedical signals through interactive visualization, signal processing, and AI-assisted interpretation. The platform supports four major biomedical signals: ECG, EEG, EMG, and PPG. Users can explore simulated signals, upload custom CSV datasets, apply filtering techniques, and view important signal measurements. It also includes educational ECG candidate peak detection and heart-rate estimation. A key feature is the AI Lab Assistant, powered by Meta Muse Spark through the Meta Model API. It generates explanations based on available signal measurements, discusses waveform characteristics, highlights limitations, and suggests further experiments. SignalForge aims to make biomedical signal analysis more accessible, interactive, and easier to understand. It is an educational prototype and not a medical diagnostic tool.