Mojtaba Kazemi
Non-invasive cuff-less blood pressure estimation using LSTM-based recurrent neural networks.
Rel. Danilo Demarchi, 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
Modern technology significantly contributes to improving living conditions and decreasing disease prevalence. Wearable health tools have been at the forefront of key breakthroughs in the healthcare sector. The fact that these tools can be used in both normal activities and therapeutic applications has led to significant advancement in this field. Hypertension, characterized by periodic high blood pressure (BP), is the principal risk factor for Cardiovascular diseases (CVDs) that are among the leading causes of mortality. Hypertension often goes unnoticed by individuals, consequently, there is a pressing need for a monitoring device capable of continuously tracking blood pressure in various conditions of everyday life.
Furthermore, nowadays to achieve continuous blood pressure monitoring is necessary to use invasive devices
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