Literature DB >> 26860006

[Dependence of Accuracy of Automatic Sleep Scoring on Spectral Characteristics of Mice EEG].

A I Manolov, V M Kovalzon, Yu V Ukraintseva, L S Moiseenko, V B Dorokhov.   

Abstract

Computer programs for automatic sleep scoring of human and animals EEG records are widely used in many branches of physiological research. They are particularly useful during the sleep research because the traditional methods requiring human expert scoring of long records are very laborious and time-consuming. The aim of this work was to investigate the dependency of accuracy of automatic sleep scoring on different EEG parameters for EEG-recording quality assessment. We find statistically significant dependency of accuracy of automatic and expert scoring on several spectral characteristics. This dependency can be used as objective quality assessment method of EEG recording for sleep scoring and it makes possible to assess accuracy of automatic sleep scoring a priori.

Entities:  

Mesh:

Year:  2015        PMID: 26860006

Source DB:  PubMed          Journal:  Zh Vyssh Nerv Deiat Im I P Pavlova        ISSN: 0044-4677            Impact factor:   0.437


  1 in total

1.  Effects of striatal transplantation of cells transfected with GDNF gene without pre- and pro-regions in mouse model of Parkinson's disease.

Authors:  A Revishchin; L Moiseenko; N Kust; N Bazhenova; P Teslia; D Panteleev; V Kovalzon; G Pavlova
Journal:  BMC Neurosci       Date:  2016-06-10       Impact factor: 3.288

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.