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ARS Medica Tomitana

The Journal of "Ovidius" University of Constanta

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1841-4036
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Analysis and Detection of EEG Transient Waves During Sleep

Dan Iliescu
  • Corresponding author
  • Faculty of Medicine, Univeristy „Ovidius” of Constanta, Universitatii Alee No. 1, Campus B, Constanta, Romania
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/ Ionescu Ana-Maria / Dumitrescu Cătălin / Copaci Carmen / Iliescu Dan / Hangan Tony / Bobe Alexandru
Published Online: 2018-12-06 | DOI: https://doi.org/10.2478/arsm-2018-0025

Abstract

Electroencephalogram (EEG) analysis consists of locating signal structtures in time and frequency. A detection method based on the Matching Pursuit Algorithms finds the suboptimal solution of the function optimal linear expansion over a redundant waveform dictionary. This paper has put forth a method for the automatic detection and analysis of transient waves during sleep based on the matching pursuit method with a real dictionary og Gabor functions. Each wave peak is described in terms of natural parameters. In this context, there have been confirmed several literature hypotheses regarding the spatial, temporal, and frequency distribution of transient waves during sleep, and their relationships with slow wave brain activity. Mastery and expertise in clinical EEG interpretation is one of the most desirable disgnostic clinical skills in interpreting seizures, epilepsy, sleep disorder, biomarkers for early disgnosis of Parkinson’s and Alzheimer’s disease, and other neurocognitive studies.

Keywords: matching pursuit; discrete Gabor functions; EEG analysis; non-stationary signals; multicomponent signals

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About the article

Published Online: 2018-12-06

Published in Print: 2018-12-01


Citation Information: ARS Medica Tomitana, ISSN (Online) 1841-4036, DOI: https://doi.org/10.2478/arsm-2018-0025.

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© 2018 Dan Iliescu, et al., published by Sciendo. This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License. BY-NC-ND 4.0

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