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Multiple-time scales analysis of physiological time series under neural control

Author

Listed:
  • Peng, C.-K.
  • Hausdorff, J.M.
  • Havlin, S.
  • Mietus, J.E.
  • Stanley, H.E.
  • Goldberger, A.L.

Abstract

We discuss multiple-time scale properties of neurophysiological control mechanisms, using heart rate and gait regulation as model systems. We find that scaling exponents can be used as prognostic indicators. Furthermore, detection of more subtle degradation of scaling properties may provide a novel early warning system in subjects with a variety of pathologies including those at high risk of sudden death.

Suggested Citation

  • Peng, C.-K. & Hausdorff, J.M. & Havlin, S. & Mietus, J.E. & Stanley, H.E. & Goldberger, A.L., 1998. "Multiple-time scales analysis of physiological time series under neural control," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 249(1), pages 491-500.
    • Handle: RePEc:eee:phsmap:v:249:y:1998:i:1:p:491-500
    DOI: 10.1016/S0378-4371(97)00508-6
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    Cited by:

    1. Şahin, Gökhan & Erentürk, Murat & Hacinliyan, Avadis, 2009. "Detrended fluctuation analysis in natural languages using non-corpus parametrization," Chaos, Solitons & Fractals, Elsevier, vol. 41(1), pages 198-205.
    2. Yuan, Naiming & Fu, Zuntao & Mao, Jiangyu, 2010. "Different scaling behaviors in daily temperature records over China," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(19), pages 4087-4095.
    3. Guo, Xin-Yu & Guo, Qiang & Li, Ren-De & Liu, Jian-Guo, 2018. "Long-term memory of rating behaviors for the online trust formation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 508(C), pages 254-264.
    4. Liu Guang & Wang Xiaojie & Li Ruifan, 2019. "Multi-Scale RCNN Model for Financial Time-series Classification," Papers 1911.09359, arXiv.org.
    5. Sidorov, S.P. & Faizliev, A.R. & Balash, V.A. & Korobov, E.A., 2016. "Long-range correlation analysis of economic news flow intensity," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 444(C), pages 205-212.

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