Literature DB >> 2725455

A simple electronic and computer system for automatic spindle detection.

R Ferri1, P Dequae, R M Colognola, S A Musumeci, P Bergonzi.   

Abstract

The authors present a new system for the automatic detection of sleep spindles. The electronic and computer analysis are described and a comparison between automatic and visual analysis, performed by two independent readers, was carried out with the aim of evaluating the reliability of the system. Results are discussed and compared with those of different systems already described.

Mesh:

Year:  1989        PMID: 2725455     DOI: 10.1016/s0987-7053(89)80057-7

Source DB:  PubMed          Journal:  Neurophysiol Clin        ISSN: 0987-7053            Impact factor:   3.734


  4 in total

1.  Sleep spindle density is associated with worry in children with generalized anxiety disorder and healthy controls.

Authors:  Jessica M Meers; Raffaele Ferri; Oliviero Bruni; Candice A Alfano
Journal:  J Affect Disord       Date:  2019-09-13       Impact factor: 4.839

2.  Association of sleep spindle activity and sleepiness in children with sleep-disordered breathing.

Authors:  Pablo E Brockmann; Raffaele Ferri; Oliviero Bruni
Journal:  J Clin Sleep Med       Date:  2020-04-15       Impact factor: 4.062

3.  Assessment of sleep in ventilator-supported critically III patients.

Authors:  Cristina Ambrogio; Jeffrey Koebnick; Stuart F Quan; Marco Ranieri; Sairam Parthasarathy
Journal:  Sleep       Date:  2008-11       Impact factor: 5.849

4.  A comparison of two sleep spindle detection methods based on all night averages: individually adjusted vs. fixed frequencies.

Authors:  Péter Przemyslaw Ujma; Ferenc Gombos; Lisa Genzel; Boris Nikolai Konrad; Péter Simor; Axel Steiger; Martin Dresler; Róbert Bódizs
Journal:  Front Hum Neurosci       Date:  2015-02-17       Impact factor: 3.169

  4 in total

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