| Budget Amount *help |
¥3,900,000 (Direct Cost: ¥3,000,000、Indirect Cost: ¥900,000)
Fiscal Year 2018: ¥650,000 (Direct Cost: ¥500,000、Indirect Cost: ¥150,000)
Fiscal Year 2017: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
Fiscal Year 2016: ¥1,690,000 (Direct Cost: ¥1,300,000、Indirect Cost: ¥390,000)
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| Outline of Final Research Achievements |
This study was aimed at developing a system of estimation of blood pressure in daily life using a green light photoplethysmogram which is a non-invasive and inexpensive sensor, and at making a system to prevent lifestyle-related diseases.
One of main findings was that we could estimate blood pressure with high accuracy by using the neural network which had features obtained from green light photoplethysmographic signals as input and blood pressure as output. Furthermore, we ascertained that using experimental data including large blood pressure variability improved the estimation accuracy in constructing the model of blood pressure estimation.
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