Sofia Galici
Blood pressure monitoring in a non-invasive way using Regression techniques.
Rel. Monica Visintin, Guido Pagana. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Biomedica, 2022
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Abstract
Hypertension is one of the main risk factors for cardiovascular diseases (CVDs), leading cause of death in all over the world. The continuous blood pressure (BP) monitoring can offer a valid tool for patient care, and using it together with other parameters, such as heart rate, breath frequency, physical activity, etc, could strongly improve prevention of CVDs. Nowadays, invasive methods are the only reliable methods for BP continuous monitoring, despite they may cause several damage and discomfort to the patient. Instead non-invasive techniques are able to return BP values every few minutes, thus today they are not considered as optimal methods to continuously monitor BP trend.
In this thesis work, the cuff-less estimation of continuous BP through the pulse transit time (PTT) and the heart rate (HR) using regression techniques is investigated
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