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Tesi etd-09192016-150441


Tipo di tesi
Tesi di laurea magistrale
Autore
ESPOSITO, CINZIA
URN
etd-09192016-150441
Titolo
TECHNIQUES FOR QUANTITATIVE ASSESSMENT OF INFANTS’ SPONTANEOUS MOVEMENTS IN CLINICAL STUDIES WITH CAMERA-BASED SYSTEMS
Dipartimento
INGEGNERIA DELL'INFORMAZIONE
Corso di studi
INGEGNERIA BIOMEDICA
Relatori
relatore Prof. Dario, Paolo
relatore Prof.ssa Laschi, Cecilia
relatore Dott.ssa Cecchi, Francesca
relatore Ing. Grassi, Angela
Parole chiave
  • features extraction
  • infant
  • optoelectronic system
  • Rob-d sensor
Data inizio appello
07/10/2016
Consultabilità
Non consultabile
Data di rilascio
07/10/2086
Riassunto
This work presents a new motion tracking method to evaluate spontaneous movements in preterm infants using an RGB depth sensor (Xtion Pro Live Asus).
The assessment of motor repertoire in preterm infants is a diagnostic tool for an early identification of neurodevelopmental disorders, like cerebral palsy. Nowadays the assessment is based on observations and experiences of the clinicians.
It is evident that a motion tracking system that can support clinicians is needed for an objective assessment.
However, available motion tracking systems are marker-based, invasive and need a controlled environment. In this context, the aim of this thesis is the validation of a markerless system compared to the optoelectronic system, the gold standard for motion tracking. In addition, the new system has been adopted in a clinical experimental study.
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