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Characteristics of human EEG sleep spindles assessed by Gabor transform

Author

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  • Schönwald, Suzana V.
  • Gerhardt, Günther J.L.
  • de Santa-Helena, Emerson L.
  • Chaves, Márcia L.F.

Abstract

The aim of this study is to show an application of the Gabor transform on the detection and characterization of human sleep EEG spindles in a sample of 10 healthy young adults, trying to identify the most useful parameters that can be used for the automatic detection and characterization of such events.

Suggested Citation

  • Schönwald, Suzana V. & Gerhardt, Günther J.L. & de Santa-Helena, Emerson L. & Chaves, Márcia L.F., 2003. "Characteristics of human EEG sleep spindles assessed by Gabor transform," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 327(1), pages 180-184.
    • Handle: RePEc:eee:phsmap:v:327:y:2003:i:1:p:180-184
    DOI: 10.1016/S0378-4371(03)00473-4
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    Cited by:

    1. Bozhokin, S.V. & Suslova, I.B., 2015. "Wavelet-based analysis of spectral rearrangements of EEG patterns and of non-stationary correlations," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 421(C), pages 151-160.
    2. Lahmiri, Salim, 2018. "Generalized Hurst exponent estimates differentiate EEG signals of healthy and epileptic patients," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 490(C), pages 378-385.

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