Power spectral analysis of short term blood pressure predicts daily variation of blood pressure
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- KINOSHITA HIROYUKI
- Graduate School of Information Science, Nara Institute of Science and Technology Technology development HQ, OMRON Healthcare Co., Ltd.
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- Mannoji Hiroshi
- Department of Cardiovascular Medicine, Graduate School of Medical Sciences, Kyushu University
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- Saku Keita
- Department of Advanced Risk Stratification for Cardiovascular Diseases, Center for Disruptive Cardiovascular Medicine, Kyushu University
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- Kishi Takuya
- Department of Advanced Risk Stratification for Cardiovascular Diseases, Center for Disruptive Cardiovascular Medicine, Kyushu University
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- Kanaya Shigehiko
- Graduate School of Information Science, Nara Institute of Science and Technology
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- Sunagawa Kenji
- Department of Therapeutic Regulation of Cardiovascular Homeostasis, Center for Disruptive Cardiovascular Medicine, Kyushu University
Bibliographic Information
- Other Title
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- 短時間連続血圧波形のパワースペクトル解析を用いた長時間血圧変動性の予測
Abstract
<p>OBJECTIVE: Although the daily variation of blood pressure (BP) predicts cardiovascular event risk, the fact that its assessment requires ambulatory BP monitoring makes its clinical application impractical. Since the baroreflex is a major determinant of BP variation especially in the frequency range of 0.01-0.1Hz (baro-F), we hypothesized the power spectral density (PSD) of short-term BP in baro-F predicts the daily variation of BP.</p><p>METHODS: In rats (N=15) with various severities of baroreflex dysfunction, we recorded continuous BP for 12 hours and estimated the standard deviation (SD12H). We estimated PSD using Fourier transform from 30-min continuous BP at 0.01 and 0.1 Hz, and compared their ratio (dPSD) against SD12H.</p><p>RESULTS: dPSD predicted SD12H reasonably well (R2=0.79).</p><p>CONCLUSION: dPSD derived from short-term BP recordings is capable of predicting the daily BP variation. dPSD may serve as a simple, noninvasive and practical predictor of cardiovascular event risk. </p>
Journal
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- Transactions of Japanese Society for Medical and Biological Engineering
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Transactions of Japanese Society for Medical and Biological Engineering Annual56 (Abstract), S342-S342, 2018
Japanese Society for Medical and Biological Engineering
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Details 詳細情報について
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- CRID
- 1390564238023491200
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- NII Article ID
- 130007483960
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- ISSN
- 18814379
- 1347443X
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- Text Lang
- ja
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- Data Source
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- JaLC
- CiNii Articles
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- Abstract License Flag
- Disallowed