Literature DB >> 17281632

Automatic detection of sleep stages in neonatal EEG using the structural time profiles.

V Krajca1, S Petranek, K Paul, M Matousek, J Mohylova, L Lhotska.   

Abstract

The new method for automatic sleep stages detection in neonatal EEG was developed. The procedure is based on processing of time profiles computed by adaptive segmentation and subsequent classification of signal graphoelements. The time profiles, functions of the class membership in the course of time, reflect the dynamic EEG structure and may be used for indication of changes in the neonatal sleep stages.

Entities:  

Year:  2005        PMID: 17281632     DOI: 10.1109/IEMBS.2005.1615862

Source DB:  PubMed          Journal:  Conf Proc IEEE Eng Med Biol Soc        ISSN: 1557-170X


  3 in total

Review 1.  Rethinking sleep analysis.

Authors:  Hartmut Schulz
Journal:  J Clin Sleep Med       Date:  2008-04-15       Impact factor: 4.062

2.  Diagnosis of insomnia sleep disorder using short time frequency analysis of PSD approach applied on EEG signal using channel ROC-LOC.

Authors:  Mohd Maroof Siddiqui; Geetika Srivastava; Syed Hasan Saeed
Journal:  Sleep Sci       Date:  2016-07-21

3.  Extraction of features from sleep EEG for Bayesian assessment of brain development.

Authors:  Vitaly Schetinin; Livija Jakaite
Journal:  PLoS One       Date:  2017-03-21       Impact factor: 3.240

  3 in total

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