ADVANCED MULTI-SENSOR SYSTEM FOR CARDIOVASCULAR PARAMETERS MONITORING

Advisor: Prof. Federica Alberta Villa

Keywords: Ultra-low power hardware, AI, eyewear frame

The project aims to develop an ultra-low power hardware for biomarkers monitoring, that well fit in eyewear frame and includes sensor fusion and AI to robustly extract biomarkers parameters. The main objectives are: - Design a main-board for power supplies and microcontroller (MCU) that well fit in the eyewear frame - Exploit the MCU ultra-low power operation modes - sensor fusion, photoplethysmography (PPG) and Inertial Measuring Units (IMUs) for motion artifacts mitigation - Sensor fusion between PPG and on-demand ECG to estimate the Blood Pressure (BP) - Explore algorithms and calibration modes for SpO2 estimation - Simple activity recognition embedded in the IMU processing unit

• Electronics
• Thematic

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