Time series data analysis using DFA

A. Okumoto, T. Akiyama, H. Sekino, T. Sumi

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    Detrended fluctuation analysis (DFA) was originally developed for the evaluation of DNA sequence and interval for heart rate variability (HRV), but it is now used to obtain various biological information. In this study we perform DFA on artificially generated data where we already know the relationship between signal and the physical event causing the signal. We generate artificial data using molecular dynamics. The Brownian motion of a polymer under an external force is investigated. In order to generate artificial fluctuation in the physical properties, we introduce obstacle pillars fixed to nanostructures. Using different conditions such as presence or absence of obstacles, external field, and the polymer length, we perform DFA on energies and positions of the polymer.

    Original languageEnglish
    Title of host publicationIrago Conference 2013
    EditorsAdarsh Sandhu, Hiroshi Okada
    PublisherAmerican Institute of Physics Inc.
    Pages175-180
    Number of pages6
    ISBN (Electronic)9780735412170
    DOIs
    Publication statusPublished - 2014
    EventIrago Conference 2013: A 360 Degree Outlook on Critical Scientific and Technological Challenges for a Sustainable Society - Aichi, Japan
    Duration: Oct 24 2013Oct 25 2013

    Publication series

    NameAIP Conference Proceedings
    Volume1585
    ISSN (Print)0094-243X
    ISSN (Electronic)1551-7616

    Conference

    ConferenceIrago Conference 2013: A 360 Degree Outlook on Critical Scientific and Technological Challenges for a Sustainable Society
    Country/TerritoryJapan
    CityAichi
    Period10/24/1310/25/13

    Keywords

    • Fluctuation analysis

    ASJC Scopus subject areas

    • Physics and Astronomy(all)

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