Dottorando in Ingegneria Elettrica, Elettronica E Delle Comunicazioni , 36o cycle (2020-2023)
Dipartimento di Elettronica e Telecomunicazioni (DET)
Dottorato di ricerca
Argomento di ricerca
Sviluppo di un dispositivo wireless per la stima in ambiente clinico della rigidità arteriosa
Interessi di ricerca
From this course, I gained deeper knowledge about the usage of sensors and MEMS in the development of a biomedical device, the development of signal processing techniques, and machine learning algorithms to process and analyze data.
I carried out my master thesis, titled “Development of Machine Learning-Based Algorithms for Assessing Tai Chi Exercise Proficiency in Older Adults”, at the Motion Analysis Lab of the Harvard Medical School in Boston, under the supervision of Prof. Danilo Demarchi and Prof. Paolo Bonato. The aim of the thesis was the development of data analysis techniques, including the design and the implementation of signal processing procedures and machine learning algorithms to derive clinically-relevant information from sensor data collected using wearable technology.
In November 2020, under the supervision of Prof. Danilo Demarchi, I started his Ph.D. program in Electronics Engineering at Politecnico di Torino in collaborations with Molinette Hospital. The objective of the Ph.D. is the study of innovative methodologies for the assessment of Pulse Wave Velocity (PWV) and related clinical analyses. The final target is to obtain a low cost, non-invasive, clinical-grade PWV evaluation device.