Diletta Romano
SRR-Based Microwave Sensing for Lymphedema Detection: A Machine Learning Approach.
Rel. Danilo Demarchi, Guido Pagana, Mauricio Perez, Robin Augustine. Politecnico di Torino, Corso di laurea magistrale in Ict For Smart Societies (Ict Per La Società Del Futuro), 2023
Abstract
In this research, we explore the potential of microwave sensors for early detection of Lymphedema (LE). Lymphedema is a chronic condition characterized by the accumulation of protein-rich fluid in the tissues due to impaired lymphatic drainage. The condition can result from genetic abnormalities of the lymphatic system, damage to the lymphatic system due to surgery, radiation therapy, infection, trauma or other causes. While various medical solutions have been investigated to prevent and detect this condition, often involving expensive tests such as Magnetic Resonance Imaging (MRI) or Computerized Tomography (CT), the application of microwave sensors offers a promising, efficient, and cost-effective alternative.
Microwave sensor measurements, combined with Machine Learning techniques, may provide a viable solution for understanding the presence or stage of the disease, as well as the monitoring of its evolution
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