Skip to Main Content (Press Enter)

Logo CNR
  • ×
  • Home
  • People
  • Outputs
  • Organizations
  • Expertise & Skills

UNI-FIND
Logo CNR

|

UNI-FIND

cnr.it
  • ×
  • Home
  • People
  • Outputs
  • Organizations
  • Expertise & Skills
  1. Outputs

A method for automatic REM sleep segmentation

Abstract
Publication Date:
2014
abstract:
A basic property of REM sleep is that is not a uniform stage. Two kinds of variations are particularly significant. First, a remarkable amount of literature, based on polygraphic signals, fMRI images, and psychophysiological data, has shown that "phasic" epochs, presenting distinct oculomotor activity, should be distinguished from "tonic" epochs. Second, recent litarature has provided interesting data about slow eye movements (SEMs), which are present during REM sleep in addition to rapid eye movements (REMs), although, according to Rechtshaffen and Kales (1968), during REM sleep SEMs "do not approach the abundance magnitude, and pendular pattern of the slow eye movements during stage 1".
Iris type:
04.02 Abstract in Atti di convegno
Keywords:
Sleep analysis; Signal segmentation; EEG components
List of contributors:
Barcaro, Umberto; Pieri, Gabriele; Magrini, Massimo
Authors of the University:
MAGRINI MASSIMO
PIERI GABRIELE
Handle:
https://iris.cnr.it/handle/20.500.14243/262787
Full Text:
https://iris.cnr.it//retrieve/handle/20.500.14243/262787/52731/prod_297038-doc_85175.pdf
Published in:
NEUROPSYCHOLOGICAL TRENDS (TESTO STAMP.)
Journal
  • Overview

Overview

URL

http://www.sipf.it/download/congresso2014/Neuropsychological-Trends-2014_November.pdf
  • Use of cookies

Powered by VIVO | Designed by Cineca | 26.5.0.0 | Sorgente dati: PREPROD (Ribaltamento disabilitato)