Literature DB >> 11668897

A time-frequency approach for newborn seizure detection.

B Boashash1, M Mesbah.   

Abstract

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Year:  2001        PMID: 11668897     DOI: 10.1109/51.956820

Source DB:  PubMed          Journal:  IEEE Eng Med Biol Mag        ISSN: 0739-5175


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  5 in total

1.  A matching pursuit-based signal complexity measure for the analysis of newborn EEG.

Authors:  L Rankine; M Mesbah; B Boashash
Journal:  Med Biol Eng Comput       Date:  2007-01-13       Impact factor: 2.602

2.  New feature extraction approach for epileptic EEG signal detection using time-frequency distributions.

Authors:  Carlos Guerrero-Mosquera; Armando Malanda Trigueros; Jorge Iriarte Franco; Angel Navia-Vázquez
Journal:  Med Biol Eng Comput       Date:  2010-03-09       Impact factor: 2.602

3.  Modified Time-Frequency Marginal Features for Detection of Seizures in Newborns.

Authors:  Nabeel Ali Khan; Sadiq Ali; Kwonhue Choi
Journal:  Sensors (Basel)       Date:  2022-04-15       Impact factor: 3.847

4.  Novel characterization method of impedance cardiography signals using time-frequency distributions.

Authors:  Jesús Escrivá Muñoz; Y Pan; S Ge; E W Jensen; M Vallverdú
Journal:  Med Biol Eng Comput       Date:  2018-03-16       Impact factor: 2.602

5.  Time-frequency Features for Impedance Cardiography Signals During Anesthesia Using Different Distribution Kernels.

Authors:  Jesús Escrivá Muñoz; Pedro Gambús; Erik W Jensen; Montserrat Vallverdú
Journal:  Methods Inf Med       Date:  2018-02-23       Impact factor: 2.176

  5 in total

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