IDEAS home Printed from https://ideas.repec.org/a/eee/chsofr/v146y2021ics0960077921002782.html
   My bibliography  Save this article

Enhanced multiresolution wavelet analysis of cerebrovascular dynamics

Author

Listed:
  • Pavlov, A.N.
  • Pavlova, O.N.

Abstract

The responses of cerebral circulation to an abrupt increase in blood pressure caused by pharmacologically induced hypertension are compared by means of multiresolution wavelet analysis (MWA), which uses standard deviations of expansion coefficients as diagnostic criteria, and an enhanced approach, combining MWA with analysis of long-range power-law correlations in the wavelet domain. We discuss how applying both of these approaches elicits different types of reactions of large blood vessels in the brain and capillary network and show that the use of simple statistical measures limits the information that can be extracted during data processing. Taking into account the correlation features in addition to the width of the probability density is a possible way to improve the characterization of the effects produced by “jumps” in blood pressure.

Suggested Citation

  • Pavlov, A.N. & Pavlova, O.N., 2021. "Enhanced multiresolution wavelet analysis of cerebrovascular dynamics," Chaos, Solitons & Fractals, Elsevier, vol. 146(C).
    • Handle: RePEc:eee:chsofr:v:146:y:2021:i:c:s0960077921002782
    DOI: 10.1016/j.chaos.2021.110924
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960077921002782
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.chaos.2021.110924?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Pavlova, O.N. & Pavlov, A.N., 2019. "Scaling features of intermittent dynamics: Differences of characterizing correlated and anti-correlated data sets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 536(C).
    2. Pavlov, A.N. & Semyachkina-Glushkovskaya, O.V. & Pavlova, O.N. & Abdurashitov, A.S. & Shihalov, G.M. & Rybalova, E.V. & Sindeev, S.S., 2016. "Multifractality in cerebrovascular dynamics: an approach for mechanisms-related analysis," Chaos, Solitons & Fractals, Elsevier, vol. 91(C), pages 210-213.
    3. Pavlov, A.N. & Abdurashitov, A.S. & Sindeeva, O.A. & Sindeev, S.S. & Pavlova, O.N. & Shihalov, G.M. & Semyachkina-Glushkovskaya, O.V., 2016. "Characterizing cerebrovascular dynamics with the wavelet-based multifractal formalism," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 442(C), pages 149-155.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Guyo, G.A. & Pavlov, A.N. & Pitsik, E.N. & Frolov, N.S. & Badarin, A.A. & Grubov, V.V. & Pavlova, O.N. & Hramov, A.E., 2022. "Cumulant analysis in wavelet space for studying effects of aging on electrical activity of the brain," Chaos, Solitons & Fractals, Elsevier, vol. 158(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Pavlov, A.N. & Pavlova, O.N. & Koronovskii, A.A. & Guyo, G.A., 2022. "Extended detrended cross-correlation analysis of nonstationary processes," Chaos, Solitons & Fractals, Elsevier, vol. 157(C).
    2. Karaca, Yeliz & Moonis, Majaz & Baleanu, Dumitru, 2020. "Fractal and multifractional-based predictive optimization model for stroke subtypes’ classification," Chaos, Solitons & Fractals, Elsevier, vol. 136(C).
    3. Pavlov, A.N. & Dubrovsky, A.I. & Koronovskii Jr, A.A. & Pavlova, O.N. & Semyachkina-Glushkovskaya, O.V. & Kurths, J., 2020. "Extended detrended fluctuation analysis of sound-induced changes in brain electrical activity," Chaos, Solitons & Fractals, Elsevier, vol. 139(C).
    4. Grahovac, Danijel, 2020. "Multifractal processes: Definition, properties and new examples," Chaos, Solitons & Fractals, Elsevier, vol. 134(C).
    5. Yeliz Karaca & Carlo Cattani & Majaz Moonis & Şengül Bayrak, 2018. "Stroke Subtype Clustering by Multifractal Bayesian Denoising with Fuzzy Means and -Means Algorithms," Complexity, Hindawi, vol. 2018, pages 1-15, April.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:chsofr:v:146:y:2021:i:c:s0960077921002782. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Thayer, Thomas R. (email available below). General contact details of provider: https://www.journals.elsevier.com/chaos-solitons-and-fractals .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.