ENHANCING CONTEXTUAL ENCODING WITH STAGE-CONFUSION AND STAGE-TRANSITION ESTIMATION FOR EEG-BASED SLEEP STAGING

Jaeun Phyo, Wonjun Ko, Eunjin Jeon, Heung Suk

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

Abstract

Sleep staging is essential for sleep assessment and plays a vital role as one of the health indicators. It is challenging to correctly classify stage-transitioning epochs of sleep electroencephalography (EEG) because of their mixed signals of stages. To this end, recent studies exploited and devised various deep learning architectures. However, those are still suffering from confusing two or more stages, especially in stage-transitioning epochs. In this work, we propose a novel network architecture that takes advantage of two auxiliary classification tasks and exploits their outputs to adapt feature representations, thus effectively discriminating confusing stages. Specifically, one auxiliary task is an epoch-level stage classification to produce confidence scores about stages. The other is a stage-transition detection to learn inter-epoch relations. Using inferred information about stage-confusion at an epoch level and stage-transition across neighboring epochs helps learn more concrete representations for stage identification. We demonstrated and analyzed the validity of our proposed method over two publicly available datasets, achieving promising performances.

Original languageEnglish
Title of host publication2022 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2022 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1301-1305
Number of pages5
ISBN (Electronic)9781665405409
DOIs
Publication statusPublished - 2022
Event47th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2022 - Virtual, Online, Singapore
Duration: 2022 May 232022 May 27

Publication series

NameICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Volume2022-May
ISSN (Print)1520-6149

Conference

Conference47th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2022
Country/TerritorySingapore
CityVirtual, Online
Period22/5/2322/5/27

Keywords

  • deep learning
  • electroencephalography
  • sequence-to-sequence
  • sleep staging

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Electrical and Electronic Engineering

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