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Assessing severity of obstructive sleep apnea by fractal dimension sequence analysis of sleep EEG

Author

Listed:
  • Zhang, J.
  • Yang, X.C.
  • Luo, L.
  • Shao, J.
  • Zhang, C.
  • Ma, J.
  • Wang, G.F.
  • Liu, Y.
  • Peng, C.-K.
  • Fang, J.

Abstract

Different sleep stages are associated with distinct dynamical patterns in EEG signals. In this article, we explored the relationship between the sleep architecture and fractal dimension (FD) of sleep EEG. In particular, we applied the FD analysis to the sleep EEG of patients with obstructive sleep apnea–hypopnea syndrome (OSAHS), which is characterized by recurrent oxyhemoglobin desaturation and arousals from sleep, a disease which received increasing public attention due to its significant potential impact on health. We showed that the variation of FD reflects the macrostructure of sleep. Furthermore, the fast fluctuation of FD, as measured by the zero-crossing rate of detrended FD (zDFD), is a useful indicator of sleep disturbance, and therefore, correlates with apnea–hypopnea index (AHI), and hourly number of blood oxygen saturation (SpO2) decreases greater than 4%, as obstructive apnea/hypopnea disturbs sleep architecture. For practical purpose, a modified index combining zDFD of EEG and body mass index (BMI) may be useful for evaluating the severity of OSAHS symptoms.

Suggested Citation

  • Zhang, J. & Yang, X.C. & Luo, L. & Shao, J. & Zhang, C. & Ma, J. & Wang, G.F. & Liu, Y. & Peng, C.-K. & Fang, J., 2009. "Assessing severity of obstructive sleep apnea by fractal dimension sequence analysis of sleep EEG," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 388(20), pages 4407-4414.
    • Handle: RePEc:eee:phsmap:v:388:y:2009:i:20:p:4407-4414
    DOI: 10.1016/j.physa.2009.07.005
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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.
    3. Alencar, Adriano M. & da Silva, Diego Greatti Vaz & Oliveira, Carolina Beatriz & Vieira, André P. & Moriya, Henrique T. & Lorenzi-Filho, Geraldo, 2013. "Dynamics of snoring sounds and its connection with obstructive sleep apnea," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(1), pages 271-277.

    More about this item

    Keywords

    OSAHS; Fractal dimension; AHI;
    All these keywords.

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