Giulio Quaglia
Uncertainty quantification in biomedical Deep Learning models.
Rel. Valentina Agostini, Francesca Dalia Faraci. Politecnico di Torino, Master of science program in Biomedical Engineering, 2022
Abstract
Sleep disorders are a serious public health problem with both psychological and physical effects. To formulate the diagnosis of such disorders, it is required that the patient sleeps in a clinic, while various biological signals are recorded: this set of signals is called polysomnography (PSG). PSG analysis is a work done by an experienced clinician by dividing the recording into epochs of 30 seconds and by giving a score to each of these epochs. The score corresponds to five different sleep stages: W that represents the waking stage to the drowsiness, N1 the beginning of the sleep, N2 before the deep sleep, N3 deep sleep, or R the dreaming phase.
This procedure is called sleep scoring and is regulated by specific manuals
Relators
Academic year
Publication type
Number of Pages
Additional Information
Course of studies
Classe di laurea
Aziende collaboratrici
URI
![]() |
Modify record (reserved for operators) |
