Fast algorithm of long-range cross-correlation analysis using Savitzky-Golay detrending filter and its application to biosignal analysis

Yutaka Tsujimoto, Yuki Miki, Eiichi Watanabe, Junichiro Hayano, Yoshiharu Yamamoto, Taishin Nomura, Ken Kiyono

研究成果: Conference contribution

1 引用 (Scopus)

抜粋

To evaluate long-range cross-correlated behavior observed in bivariate time series, detrended cross-correlation analysis (DCCA) was proposed. In the DCCA, trends embedded in each time series are eliminated via piecewise least-squares polynomial fitting in the same way as the detrended fluctuation analysis (DFA). In this paper, as an improved variant of DCCA, we propose a DCCA method using the Savitzky-Golay detrending filters and its fast implementation algorithm. In addition, as an application of our method, we analyze the cardiorespiratory interaction.

元の言語English
ホスト出版物のタイトル2017 International Conference on Noise and Fluctuations, ICNF 2017
出版者Institute of Electrical and Electronics Engineers Inc.
ISBN(電子版)9781509027606
DOI
出版物ステータスPublished - 19-07-2017
イベント2017 International Conference on Noise and Fluctuations, ICNF 2017 - Vilnius, Lithuania
継続期間: 20-06-201723-06-2017

出版物シリーズ

名前2017 International Conference on Noise and Fluctuations, ICNF 2017

Other

Other2017 International Conference on Noise and Fluctuations, ICNF 2017
Lithuania
Vilnius
期間20-06-1723-06-17

    フィンガープリント

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Electronic, Optical and Magnetic Materials
  • Electrical and Electronic Engineering

これを引用

Tsujimoto, Y., Miki, Y., Watanabe, E., Hayano, J., Yamamoto, Y., Nomura, T., & Kiyono, K. (2017). Fast algorithm of long-range cross-correlation analysis using Savitzky-Golay detrending filter and its application to biosignal analysis. : 2017 International Conference on Noise and Fluctuations, ICNF 2017 [7986015] (2017 International Conference on Noise and Fluctuations, ICNF 2017). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICNF.2017.7986015