2022 Fiscal Year Final Research Report
Development of non-invasive blood diagnostic system using scattered wave method that can realize real-time non-contact measurement
Project/Area Number |
20K12702
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Research Category |
Grant-in-Aid for Scientific Research (C)
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Allocation Type | Multi-year Fund |
Section | 一般 |
Review Section |
Basic Section 90130:Medical systems-related
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Research Institution | Akita National College of Technology |
Principal Investigator |
Sugawara Eiko 秋田工業高等専門学校, その他部局等, 講師 (90401950)
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Co-Investigator(Kenkyū-buntansha) |
伊藤 桂一 秋田工業高等専門学校, その他部局等, 教授 (20290702)
駒木根 隆士 秋田工業高等専門学校, その他部局等, 教授 (40370241)
黒澤 孝裕 秋田県産業技術センター, 先端機能素子開発部, 上席研究員 (60370243)
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Project Period (FY) |
2020-04-01 – 2023-03-31
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Keywords | 非侵襲測定 / 散乱波法 / ニューラルネットワーク |
Outline of Final Research Achievements |
The purpose of this study is to clarify the relationship between blood sugar concentration and dielectric constant, and to establish a non-invasive non-contact blood diagnostic method. We have constructed a measurement environment for experimentally verifying the relationship between the scattered wave intensity and the dielectric constant of a liquid sample. In addition, we have constructed a system that discriminates the physical properties of samples from the received scattered wave power measured using a heuristic identification method. It was confirmed that deterioration of hydraulic oil can be determined using the data measured by the simplified measurement system. Although it is necessary to verify the measurement data to identify the concentration of glucose aqueous solution, we found the possibility of applying a similar method.
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Free Research Field |
システム工学
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Academic Significance and Societal Importance of the Research Achievements |
現在一般的に用いられる血糖値計測法では,採血が不可欠であり,患者の負担となっているが,本研究で提案している散乱波法による測定と階層型ニューラルネットワークによる識別を組み合わせた手法によって,日接触活非侵襲的な計測および診断が可能になる.本研究成果により,測定系の簡素化が実現でき,簡素化前の環境と同様に測定・判別できることが示された.このことはストレスフリーな血糖値計測を実現するための大きな可能性を秘めている.
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