Non-Invasive IoT Blood Glucose & Hydration Telemetry Node with Cloud Analytics
Breakthrough optical NIR spectroscopy sensor rig measuring blood perfusion, glucose trends, and hydration index with ESP32 Wi-Fi/BLE and hospital cloud dashboard.
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Project Technical Overview
A wearable student biomedical prototype featuring 940nm/660nm multi-wavelength optical transmission sensors, transimpedance amplifiers, ESP32 BLE controller, 0.96-inch OLED screen, and an IoT tele-health web dashboard for continuous non-invasive metabolic trend tracking. ### Real-World Problem Diabetic patients suffer pain and infection risks from frequent daily finger-prick blood tests. ### Practical Student Solution Uses multi-wavelength optical absorption spectroscopy through the fingertip/earlobe to detect glucose-related refraction shifts safely without skin punctures. ### Hardware Modules & Sensors - ESP32-WROOM-32 - Multi-Wavelength NIR Sensor - Transimpedance Amplifier Board - 0.96 OLED Display - 3.7V LiPo Battery & Charger ### Commercial & Institutional Value High commercial demand across healthcare institutions and final-year biomedical engineering students.
Read the foundational IEEE conference research paper, citations, and algorithmic architecture for this project.