| Presentation | 2022-11-25 Towards Defining Minimal Time Series Length for Normalized Recurrence Quantification Analysis Nina Sviridova, Tohru Ikeguchi, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Estimating the minimal required time series length is an important problem in many applied studies. In our previous study, recurrence quantification analysis applied to the recurrence plot was used to estimate the minimal required length that preserves specific dynamical properties of the biomedical signal. However, recurrence plot size-dependent measures, the longest diagonal line length and the average diagonal line length, were found to be nonapplicable or of limited applicability. In this technical report, these two measures were normalized by the recurrence plot size in an attempt to improve our previous results. Obtained results demonstrated that the normalization would yield an increase in the relative error of the longest diagonal line length and the average diagonal line length estimation. However, these results were obtained for the time series with the longest diagonal line length and the average diagonal line length significantly shorter compared with the maximal recurrent plot size used in this study; therefore, further investigation for the data with longer diagonal lines was found to be necessary. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | nonlinear dynamics / recurrence plot / recurrence quantification analysis / time series length |
| Paper # | NLP2022-78 |
| Date of Issue | 2022-11-17 (NLP) |
| Conference Information | |
| Committee | NLP |
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| Conference Date | 2022/11/24(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Chair | Akio Tsuneda(Kumamoto Univ.) |
| Vice Chair | Hiroyuki Torikai(Hosei Univ.) |
| Secretary | Hiroyuki Torikai(Sojo Univ.) |
| Assistant | Yuichi Yokoi(Nagasaki Univ.) / Yoshikazu Yamanaka(Utsunomiya Univ.) |
| Paper Information | |
| Registration To | Technical Committee on Nonlinear Problems |
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| Language | ENG-JTITLE |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Towards Defining Minimal Time Series Length for Normalized Recurrence Quantification Analysis |
| Sub Title (in English) | |
| Keyword(1) | nonlinear dynamics |
| Keyword(2) | recurrence plot |
| Keyword(3) | recurrence quantification analysis |
| Keyword(4) | time series length |
| 1st Author's Name | Nina Sviridova |
| 1st Author's Affiliation | Tokyo University of Science(TUS) |
| 2nd Author's Name | Tohru Ikeguchi |
| 2nd Author's Affiliation | Tokyo University of Science(TUS) |
| Date | 2022-11-25 |
| Paper # | NLP2022-78 |
| Volume (vol) | vol.122 |
| Number (no) | NLP-280 |
| Page | pp.pp.97-102(NLP), |
| #Pages | 6 |
| Date of Issue | 2022-11-17 (NLP) |