Elahe Faramini
Regression algorithms for estimation of cuffless blood pressure estimation.
Rel. Michela Meo, Guido Pagana. Politecnico di Torino, Corso di laurea magistrale in Ict For Smart Societies (Ict Per La Società Del Futuro), 2023
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Abstract
Hypertension is a significant risk factor for cardiovascular diseases (CVDs), which are a leading cause of death around the world. Continuous monitoring of blood pressure (BP) is a proven tool to support patient care and when used in combination with other vital parameters such as heart rate, breath frequency, and physical activity, it can be highly effective in the prevention of CVDs. However, invasive methods are currently the most reliable way to continuously monitor BP, despite the potential for discomfort and damage to the patient. Non-invasive techniques are currently not considered optimal for continuously monitoring BP trends, as they can only return BP values every few minutes.
In this thesis work, cuff-less estimation of continuous BP through Pulse Transit Time (PTT) and Heart Rate (HR) using boosting regression techniques is investigated
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