ETD system

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Tesi etd-01212019-170153


Thesis type
Tesi di laurea magistrale
Author
CIGNONI, ARIANNA
URN
etd-01212019-170153
Title
Drowsiness detection for surgeons: design of a wearable integrated EEG system
Struttura
INGEGNERIA DELL'INFORMAZIONE
Corso di studi
INGEGNERIA BIOMEDICA
Commissione
relatore Ciuti, Gastone
Parole chiave
  • wearable eeg
  • sleep deprivation
  • drowsiness
  • artificial neural network
Data inizio appello
15/02/2019;
Consultabilità
parziale
Data di rilascio
15/02/2022
Riassunto analitico
Surgeons that experience sleep restriction and deprivation, may have attentional lapses: the onset of lapses and microsleeps increase the probability of making medical errors, compromising patient's safety. Electroencephalography (EEG) is a gold standard tecnique for monitoring cortical electrical activity and it can objectively measure and track drowsiness. However, EEG cannot be worn during daily work's shift due to its encumbrance and bulk. The aims of this study is to design an EEG device that is miniaturized, wearable, lightweight, motion tolerant. The device sends the EEG signals through a wireless communication to an external device where they will be processed using classification algorithms able to detect drowsy states.
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