ETD

Archivio digitale delle tesi discusse presso l'Università di Pisa

Tesi etd-02062015-120556


Tipo di tesi
Tesi di laurea magistrale
Autore
PRATALI, SILVIA
URN
etd-02062015-120556
Titolo
Techniques and Algorithms for the Characterization of Sleep Quality through Wearable Devices
Dipartimento
INGEGNERIA DELL'INFORMAZIONE
Corso di studi
INGEGNERIA BIOMEDICA
Relatori
relatore Prof. Dario, Paolo
tutor Ing. Pessione, Marco
tutor Ing. Rossi, Stefano
Parole chiave
  • sleep monitoring system
  • sleep disorders
  • sleep stages
Data inizio appello
06/03/2015
Consultabilità
Non consultabile
Data di rilascio
06/03/2085
Riassunto
This thesis work was developed with the purpose of creating an innovative home sleep monitoring system using two devices designed by STMicroelectronics: the BodyGateWay patch, and the neMEMSi inertial platform.
The BGW allows to detect ECG, accelerometer and bioimpedance signals while neMEMSi returns an estimation of the orientation of the platform. The devices are non-invasive, wearable and with Bluetooth communication capabilities.
The first step was to determine the best device placement in order to extrapolate the most useful range of information regarding the quality of the patients sleep. The setup chosen enables to detect events of sleep apnea, periodic limb movement, and the sleep staging.
Three algorithms have been developed. The first one is able to determine, from the accelerometer signal, if the subject is sleeping or not. The second performs, with a specifically designed Hidden Markov Model, the various sleep stages. The third algorithm processes the Electroculogram signal to identify the REM sleep stages - it is used to check if the second algorithm works properly.
The promising outcome of this work suggests the potential use of this system as a support for physicians who must decide whether to refer the patient to a full polysomnographic study or not.
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