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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