A contribution for the automatic sleep classification based on the Itakura-Saito spectral distance

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

Sleep staging is a crucial step before the scoring the sleep apnoea, in subjects that are tested for this condition. These patients undergo a whole night polysomnography recording that includes EEG, EOG, ECG, EMG and respiratory signals. Sleep staging refers to the quantification of its depth. Despite the commercial sleep software being able to stage the sleep, there is a general lack of confidence amongst health practitioners of these machine results. Generally the sleep scoring is done over the visual inspection of the overnight patient EEG recording, which takes the attention of an expert medical practitioner over a couple of hours. This contributes to a waiting list of two years for patients of the Portuguese Health Service. In this work we have used a spectral comparison method called Itakura distance to be able to make a distinction between sleepy and awake epochs in a night EEG recording, therefore automatically doing the staging. We have used the data from 20 patients of Hospital Pulido Valente, which had been previously visually expert scored. Our technique results were promising, in a way that Itakura distance can, by itself, distinguish with a good degree of certainty the N2, N3 and awake states. Pre-processing stages for artefact reduction and baseline removal using Wavelets were applied.

Original languageEnglish
Title of host publicationEmerging Trends in Technological Innovation: First IFIP WG 5.5/SOCOLNET Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2010, Costa de Caparica, Portugal, February 22-24, 2
EditorsLuis M. Camarinha-Matos, Pedro Pereira, Luis Ribeiro
Place of PublicationBerlin, Heidelberg
PublisherSpringer
Pages374-381
Number of pages8
ISBN (Electronic)978-3-642-11628-5
ISBN (Print)978-3-642-11627-8
DOIs
Publication statusPublished - 2010

Publication series

NameIFIP Advances in Information and Communication Technology
PublisherSpringer
Volume314
ISSN (Print)1868-4238
ISSN (Electronic)1868-422X

Keywords

  • AR modelling
  • EEG signal processing
  • Itakura-Saito Distance
  • Sleep Staging

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