Literature DB >> 7503462

Analysis of EEG transients by means of matching pursuit.

P J Durka1, K J Blinowska.   

Abstract

Matching pursuit (MP), a new technique of time-frequency signal analysis, was applied to simulated signals and the awake and sleep EEG. With the MP algorithm, waveforms from a very large class of functions were fitted to the local signal structures in a recursive procedure. By means of this technique, sleep spindles were localized in the time-frequency plane with high precision, and their intensities and time spans were found. The MP technique makes following the temporal evolution of transients and their propagation in brains possible. It opens up new possibilities in EEG research providing a means of investigation of dynamic processes in brains in a much finer time-frequency scale than any other method available at present.

Mesh:

Year:  1995        PMID: 7503462     DOI: 10.1007/bf02584459

Source DB:  PubMed          Journal:  Ann Biomed Eng        ISSN: 0090-6964            Impact factor:   3.934


  6 in total

1.  Pattern recognition by matched filtering: an analysis of sleep spindle and K-complex density under the influence of lormetazepam and zopiclone.

Authors:  M Jobert; E Poiseau; P Jähnig; H Schulz; S Kubicki
Journal:  Neuropsychobiology       Date:  1992       Impact factor: 2.328

2.  [Development of a criterion for the automatic detection of sleep spindles in the infant].

Authors:  G Delapierre; E Dreano; D Samson-Dollfus; J Senant; J F Ménard; D De Brucq
Journal:  Rev Electroencephalogr Neurophysiol Clin       Date:  1986-10

3.  An automatic spindle analysis and detection system based on the evaluation of human ratings of the spindle quality.

Authors:  A Kumar; W Hofman; K Campbell
Journal:  Waking Sleeping       Date:  1979 Sep-Dec

4.  A new device for automatic sleep spindle analysis: the 'spindicator'.

Authors:  R T Pivik; F W Bylsma; R J Nevins
Journal:  Electroencephalogr Clin Neurophysiol       Date:  1982-12

5.  A new method for the quantitative analysis of sleep spindles during continuous overnight EEG recordings.

Authors:  D R Fish; P J Allen; J D Blackie
Journal:  Electroencephalogr Clin Neurophysiol       Date:  1988-09

6.  Topographical analysis of sleep spindle activity.

Authors:  M Jobert; E Poiseau; P Jähnig; H Schulz; S Kubicki
Journal:  Neuropsychobiology       Date:  1992       Impact factor: 2.328

  6 in total
  10 in total

1.  Detection of cardiovascular risk from a photoplethysmographic signal using a matching pursuit algorithm.

Authors:  Dirk Sommermeyer; Ding Zou; Joachim H Ficker; Winfried Randerath; Christoph Fischer; Thomas Penzel; Bernd Sanner; Jan Hedner; Ludger Grote
Journal:  Med Biol Eng Comput       Date:  2015-11-04       Impact factor: 2.602

2.  Relationship between time- and frequency-domain analyses of angular head movements in the squirrel monkey.

Authors:  M Armand; L B Minor
Journal:  J Comput Neurosci       Date:  2001 Nov-Dec       Impact factor: 1.621

3.  Analysis of the first heart sound using the matching pursuit method.

Authors:  W Wang; Z Guo; J Yang; Y Zhang; L G Durand; M Loew
Journal:  Med Biol Eng Comput       Date:  2001-11       Impact factor: 3.079

4.  From wavelets to adaptive approximations: time-frequency parametrization of EEG.

Authors:  Piotr J Durka
Journal:  Biomed Eng Online       Date:  2003-01-06       Impact factor: 2.819

5.  Spindles in Svarog: framework and software for parametrization of EEG transients.

Authors:  Piotr J Durka; Urszula Malinowska; Magdalena Zieleniewska; Christian O'Reilly; Piotr T Różański; Jarosław Żygierewicz
Journal:  Front Hum Neurosci       Date:  2015-05-08       Impact factor: 3.169

6.  Matching Pursuit with Asymmetric Functions for Signal Decomposition and Parameterization.

Authors:  Tomasz Spustek; Wiesław Wiktor Jedrzejczak; Katarzyna Joanna Blinowska
Journal:  PLoS One       Date:  2015-06-26       Impact factor: 3.240

7.  SPHARA--a generalized spatial Fourier analysis for multi-sensor systems with non-uniformly arranged sensors: application to EEG.

Authors:  Uwe Graichen; Roland Eichardt; Patrique Fiedler; Daniel Strohmeier; Frank Zanow; Jens Haueisen
Journal:  PLoS One       Date:  2015-04-17       Impact factor: 3.240

8.  Multivariate matching pursuit in optimal Gabor dictionaries: theory and software with interface for EEG/MEG via Svarog.

Authors:  Rafał Kuś; Piotr Tadeusz Różański; Piotr Jerzy Durka
Journal:  Biomed Eng Online       Date:  2013-09-23       Impact factor: 2.819

9.  A Marked Point Process Framework for Extracellular Electrical Potentials.

Authors:  Carlos A Loza; Michael S Okun; José C Príncipe
Journal:  Front Syst Neurosci       Date:  2017-12-18

10.  An accurate emotion recognition system using ECG and GSR signals and matching pursuit method.

Authors:  Atefeh Goshvarpour; Ataollah Abbasi; Ateke Goshvarpour
Journal:  Biomed J       Date:  2018-01-03       Impact factor: 4.910

  10 in total

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