Quantitative sleep EEG synchronization analysis for automatic arousals detection


Erdamar A., Aksahin M. F.

BIOMEDICAL SIGNAL PROCESSING AND CONTROL, vol.59, 2020 (Journal Indexed in SCI) identifier identifier

  • Publication Type: Article / Article
  • Volume: 59
  • Publication Date: 2020
  • Doi Number: 10.1016/j.bspc.2020.101895
  • Title of Journal : BIOMEDICAL SIGNAL PROCESSING AND CONTROL

Abstract

Background and objective: Electroencephalographic arousals are considered to be the main reason for the interruption of sleep and are visually examined by sleep physicians. Visual scoring of all-night recordings has inter-scorer variability which may lead to subjective results. Hence, we aimed to develop a novel automated method to detect arousals from two electroencephalographic channels in terms of the synchronic events of the right and left hemispheres.