| Project/Area Number |
17K14242
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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 |
Foundations of mathematics/Applied mathematics
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| Research Institution | The University of Tokyo |
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Principal Investigator |
Sviridova Nina 東京大学, 生産技術研究所, 特任研究員 (70782829)
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| Project Period (FY) |
2017-04-01 – 2019-03-31
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| Project Status |
Completed (Fiscal Year 2018)
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| Budget Amount *help |
¥1,820,000 (Direct Cost: ¥1,400,000、Indirect Cost: ¥420,000)
Fiscal Year 2018: ¥910,000 (Direct Cost: ¥700,000、Indirect Cost: ¥210,000)
Fiscal Year 2017: ¥910,000 (Direct Cost: ¥700,000、Indirect Cost: ¥210,000)
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| Keywords | deterministic chaos / photoplethysmogram / signal processing / nonlinear dynamics / noise reduction / 非線形力学 / 脈波 / カオス / 非線形時系列解析 / 応用数学 |
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| Outline of Final Research Achievements |
The photoplethysmogram (PPG) is the signal widely used for heart rates and oxygen saturation calculations. It has the potential for other applications, but the presence of the noise in PPG data limits the applicability of advanced analysis methods to it. Therefore, the noise reduction method which would reduce the noise and unlike conventional methods preserve complex dynamics of the PPG is necessary. Understanding of the PPG dynamics is the key- factor for the development of such a method.
During the research period, the large number of the PPG datasets were collected in reference conditions and under the influence of external factors. These data were analyzed by the methods of nonlinear dynamics. It was discovered that the investigated signal has chaotic dynamics and its essential dynamical element was found (saddle point). PPG dynamical characteristics were investigated in terms of filtration effects. The method of prediction relying on noise contamination information was proposed.
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| Academic Significance and Societal Importance of the Research Achievements |
Green light PPG widely used in wearable devices was investigated. Understanding of dynamical characteristics of green PPG and discovering its dynamics essential element was achieved for the first time. This can help to promote further applications of the green PPG in the health monitoring area.
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