Literature DB >> 86433

Automatic EEG analysis: a segmentation procedure based on the autocorrelation function.

D Michael, J Houchin.   

Abstract

A new automatic procedure for EEG segmentation is presented. Based on the autocorrelation function, it is simple to implement and gives good segmentation and clustering results.

Mesh：

Year:  1979        PMID： 86433     DOI： 10.1016/0013-4694(79)90075-0

Source DB:  PubMed          Journal:  Electroencephalogr Clin Neurophysiol        ISSN： 0013-4694


  7 in total

1.  Automatic analysis and monitoring of burst suppression in anesthesia.

Authors:  Mika Särkelä; Seppo Mustola; Tapio Seppänen; Miika Koskinen; Pasi Lepola; Kalervo Suominen; Tatu Juvonen; Heli Tolvanen-Laakso; Ville Jäntti
Journal:  J Clin Monit Comput       Date:  2002-02       Impact factor: 2.502

2.  A model for dual channel segmentation of the EEG signal.

Authors:  I Gath; A Michaeli; C Feuerstein
Journal:  Biol Cybern       Date:  1991       Impact factor: 2.086

Review 3.  Global field power and topographic similarity.

Authors:  W Skrandies
Journal:  Brain Topogr       Date:  1990       Impact factor: 3.020

4.  Poincaré plot analysis of autocorrelation function of RR intervals in patients with acute myocardial infarction.

Authors:  Shin-Shin Chuang; Kung-Tai Wu; Chen-Yang Lin; Steven Lee; Gau-Yang Chen; Cheng-Deng Kuo
Journal:  J Clin Monit Comput       Date:  2013-12-20       Impact factor: 2.502

5.  Estimation of the dynamics of event-related desynchronisation changes in electroencephalograms.

Authors:  J K Hiltunen; P A Karjalainen; J Partanen; J P Kaipio
Journal:  Med Biol Eng Comput       Date:  1999-05       Impact factor: 2.602

6.  Feature extraction and clustering of EEG during anaesthesia.

Authors:  I Bankman; I Gath
Journal:  Med Biol Eng Comput       Date:  1987-07       Impact factor: 2.602

Review 7.  A guide to dynamical analysis.

Authors:  P E Rapp
Journal:  Integr Physiol Behav Sci       Date:  1994 Jul-Sep
  7 in total

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