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Tesi etd-03192017-195259


Tipo di tesi
Tesi di laurea magistrale
Autore
LORATO, ILDE ROSA
URN
etd-03192017-195259
Titolo
Development of Data Processing Algorithms for Radar-based Long-term Monitoring
Dipartimento
INGEGNERIA DELL'INFORMAZIONE
Corso di studi
INGEGNERIA BIOMEDICA
Relatori
relatore Prof. Fanucci, Luca
tutor Ing. Torfs, Tom
tutor Dott. Mercuri, Marco
controrelatore Prof. Vanello, Nicola
Parole chiave
  • CW
  • FMCW
  • healhcare
  • monitoring
  • multi-tracking
  • radar
  • random body movement
  • signal processing
  • vital sign
Data inizio appello
28/04/2017
Consultabilità
Non consultabile
Data di rilascio
28/04/2087
Riassunto
Radar-based monitoring is a contact-less alternative to the conventional monitoring techniques.
The Doppler shifts caused by the mechanical movements of heart and lungs can be detected and, in this way, heartbeat and respiration rate can be measured. However, the limit of current radar involvements is that it is possible to monitor heartbeat and respiration rate under "ideal condition", that is, just on a single person constrained to be motionless (i.e., seated or lying down avoiding any kind of random body movement). Moreover, the results still lack in accuracy. During the thesis, I have developed algorithms on Matlab aiming at Random Body Movement rejection and multi-people tracking and vital signs monitoring.
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