Application of non-Gaussian statistics to heart rate variability analysis
| Project/Area Number |
23700544
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| Research Category |
Grant-in-Aid for Young Scientists (B)
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| Allocation Type | Multi-year Fund |
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| Research Field |
Biomedical engineering/Biological material science
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| Research Institution | Osaka University (2012-2013)
Nihon University (2011) |
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Principal Investigator |
KIYONO Ken 大阪大学, 基礎工学研究科, 准教授 (40434071)
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| Project Period (FY) |
2011 – 2013
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| Project Status |
Completed (Fiscal Year 2013)
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| Budget Amount *help |
¥4,290,000 (Direct Cost: ¥3,300,000、Indirect Cost: ¥990,000)
Fiscal Year 2013: ¥780,000 (Direct Cost: ¥600,000、Indirect Cost: ¥180,000)
Fiscal Year 2012: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
Fiscal Year 2011: ¥2,470,000 (Direct Cost: ¥1,900,000、Indirect Cost: ¥570,000)
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| Keywords | 生体情報・計測 / ノンインベイシブ心電学 / 非線形解析 / 非ガウス統計 / 心拍変動 / 時系列解析 / 心房細動 / 生体信号解析 / 非ガウス過程 |
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| Research Abstract |
Time series analysis methods to characterize deviation from Gaussian distribution (non-Gaussian properties) were developed. To characterize asymmetric properties in observed time series, we proposed positive- or negative-directional non-Gaussian statistics. Using this method, it was demonstrated that the asymmetric properties of heart rate variability depend on aging. In addition, to characterize a wide variety of symmetric non-Gaussian distributions with fat tails, we introduced a multiplicative stochastic process in which an observed time series is assumed to be described by the multiplication of Gaussian and amplitude random variables. Based on this framework, we proposed an analysis method using log-amplitude cumulants. As an application of this method, we showed the relation between non-Gaussian shapes of heart rate variability and mortality in heart failure patients.
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Report
(4 results)
Research Products
(27 results)
