A new quantitative automatic method for the measurement of non-rapid eye movement sleep electroencephalographic amplitude variability

Raffaele Ferri, Francesco Rundo, Luana Novelli, Mario G. Terzano, Liborio Parrino, Oliviero Bruni

Research output: Contribution to journalArticle

Abstract

The aim of this study was to arrange an automatic quantitative measure of the electroencephalographic (EEG) signal amplitude variability during non-rapid eye movement (NREM) sleep, correlated with the visually extracted cyclic alternating pattern (CAP) parameters. Ninety-eight polysomnographic EEG recordings of normal controls were used. A new algorithm based on the analysis of the EEG amplitude variability during NREM sleep was designed and applied to all recordings, which were also scored visually for CAP. All measurements obtained with the new algorithm correlated positively with corresponding CAP parameters. In particular, total CAP time correlated with total NREM variability time (r=0.596; P

Original languageEnglish
Pages (from-to)212-220
Number of pages9
JournalJournal of Sleep Research
Volume21
Issue number2
DOIs
Publication statusPublished - Apr 2012

Keywords

  • Automatic analysis
  • Cyclic alternating pattern
  • NREM sleep variability
  • Sleep scoring

ASJC Scopus subject areas

  • Behavioral Neuroscience
  • Cognitive Neuroscience
  • Medicine(all)

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