Monitoring Electrocardiogram (ECG), Blood Oxygen Saturation (SpO2), and blood
pressure is of crucial importance for individuals’ health and well-being. These parameters
provide crucial insights into cardiac and respiratory function, as well as
blood pressure levels, which are key for diagnosing and managing a wide range of
medical conditions.
This thesis work is a comprehensive exploration, redesign and development of
PulseECG, a sophisticated medical device originally designed by the Neuronica
department at Politecnico di Torino. PulseECG was conceived to acquire ECG
signals using a derivation method based on Einthoven’s Triangle, monitoring the
blood oxygenation level and to compute, through a neural network, the blood
The goal was not only to optimize its performance but also facilitate its integration
into industrial production. It was imperative to address the unique challenges
posed by the post-COVID-19 global component supply crisis, which added a layer
of complexity to the project.