wban

Tools written in python to give a user friendly access to the dataset collected at Iowa state university for BLE devices with health care application

This project implements a cryptographic key generation system that uses physiological signals (ECG) combined with Bloom filters to create secure, reproducible keys for Wireless Body Area Networks (WBANs). This is based on the research paper "Using Bloom Filter to Generate a Physiological Signal-Based Key for Wireless Body Area Networks".

Two-stage hybrid ML pipeline (SVM / Random Forest / BiLSTM gatekeeper + SVR triage) for anomaly detection in Wireless Body Area Network health telemetry, with an interactive Streamlit dashboard.