Luca Barotto
ICT for Health: Optimized Cuffless Blood Pressure Measurement Using ECG, PPG and Linear Regression.
Rel. Michela Meo, Guido Pagana. Politecnico di Torino, Corso di laurea magistrale in Ict For Smart Societies (Ict Per La Società Del Futuro), 2025
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Abstract
Hypertension is a major risk factor for cardiovascular disease (CVD), which remains the leading cause of mortality worldwide. Continuous and accurate monitoring of blood pressure (BP) plays a fundamental role not only in early diagnosis but also in patient therapeutic management and the prevention of associated complications. However, currently used methods have significant limitations: invasive systems, while highly accurate, can only be used in hospital settings and involve risks and discomfort; noninvasive cuff-based systems, on the other hand, provide only intermittent readings and do not allow dynamic BP analysis during daily activities. To overcome these limitations, in recent years there has been growing interest in cuffless techniques that exploit physiological signals easily acquired through wearable sensors.
This thesis explores a methodology for continuous and noninvasive estimation of BP based on combined electrocardiogram (ECG) and photoplethysmogram (PPG) analysis
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