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    Statistical physics approach to categorize biologic signals: From heart rate dynamics to DNA sequences
    AIP Publishing ; 2007
    In:  Chaos: An Interdisciplinary Journal of Nonlinear Science Vol. 17, No. 1 ( 2007-03-01)
    Details
    In: Chaos: An Interdisciplinary Journal of Nonlinear Science, AIP Publishing, Vol. 17, No. 1 ( 2007-03-01)
    Abstract: We recently proposed a novel approach to categorize information carried by symbolic sequences based on their usage of repetitive patterns. A simple quantitative index to measure the dissimilarity between two symbolic sequences can be defined. This information dissimilarity index, defined by our formula, is closely related to the Shannon entropy and rank order of the repetitive patterns in the symbolic sequences. Here we discuss the underlying statistical physics assumptions of this dissimilarity index. We use human cardiac interbeat interval time series and DNA sequences as examples to illustrate the applicability of this generic approach to real-world problems.
    Type of Medium: Online Resource
    ISSN: 1054-1500 , 1089-7682
    URL: Article
    DOI: 10.1063/1.2716147
    Language: English
    Publisher: AIP Publishing
    Publication Date: 2007
    detail.hit.zdb_id: 1150918-1
    detail.hit.zdb_id: 1472677-4
    SSG: 11
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