Presentation | 2008-09-25 A New Method of Heart Rate Variability Yutaka Tomita, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | Discrete Fourier transform has been conventionally carried out for evenly spaced time series. However, we face many unevenly spaced time series, such as heart rate variability. In order to Fourier transform such time series data, cubic spline interpolation is firstly performed and evenly resample it. And then FFT is applied. The present paper proposes a new method, which provides the Fourier transform for unevenly spaced time series. Since the proposed method uses a regression analysis, we obtain Fourier coefficients and its confidential intervals simultaneously. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Fourier Transform / Unevenly Spaced Time Series / Heart Rate Variability / Fourier Coefficients / Confidential Interval |
Paper # | MBE2008-33 |
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Committee | MBE |
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Conference Date | 2008/9/18(1days) |
Place (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | ME and Bio Cybernetics (MBE) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | A New Method of Heart Rate Variability |
Sub Title (in English) | |
Keyword(1) | Fourier Transform |
Keyword(2) | Unevenly Spaced Time Series |
Keyword(3) | Heart Rate Variability |
Keyword(4) | Fourier Coefficients |
Keyword(5) | Confidential Interval |
1st Author's Name | Yutaka Tomita |
1st Author's Affiliation | Department of Biosciences and Informatics, Faculty of Science and Technology, Keio University() |
Date | 2008-09-25 |
Paper # | MBE2008-33 |
Volume (vol) | vol.108 |
Number (no) | 219 |
Page | pp.pp.- |
#Pages | 4 |
Date of Issue |