Literature DB >> 10616122

Quality control of polysomnographic sleep data by histogram and entropy analysis.

A Schlögl1, B Kemp, T Penzel, D Kunz, S L Himanen, A Värri, G Dorffner, G Pfurtscheller.   

Abstract

OBJECTIVE AND METHODS: Sixteen polysomnographic recordings from 8 European sleep laboratories were analyzed. The histogram analysis was used to introduce quality control of all-night EEG recordings.
RESULTS: It was found that the header information does not always provide the real saturation values of the recording equipment. The entropy measure was used for the quantitative analysis of the dynamic range of routinely used polysomnographic recorders. It was found that the recording equipment provides EEG data with entropy in the range of 8-11 bits.
CONCLUSION: In the all-night sleep EEG were observed non-linearities. It is recommended that the equipment provide the saturation values in order to apply automated overflow detection.

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Year:  1999        PMID: 10616122     DOI: 10.1016/s1388-2457(99)00172-8

Source DB:  PubMed          Journal:  Clin Neurophysiol        ISSN: 1388-2457            Impact factor:   3.708


  3 in total

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Authors:  Massimiliano Ignaccolo; Mirek Latka; Wojciech Jernajczyk; Paolo Grigolini; Bruce J West
Journal:  J Biol Phys       Date:  2009-08-11       Impact factor: 1.365

2.  BioSig: the free and open source software library for biomedical signal processing.

Authors:  Carmen Vidaurre; Tilmann H Sander; Alois Schlögl
Journal:  Comput Intell Neurosci       Date:  2011-03-08

3.  Neurophysiological and behavioural effects of conventional and high definition tDCS.

Authors:  Fabio Masina; Giorgio Arcara; Eleonora Galletti; Isabella Cinque; Luciano Gamberini; Daniela Mapelli
Journal:  Sci Rep       Date:  2021-04-07       Impact factor: 4.379

  3 in total

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