| Project/Area Number |
23659266
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| Research Category |
Grant-in-Aid for Challenging Exploratory Research
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| Allocation Type | Multi-year Fund |
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| Research Field |
Medical sociology
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| Research Institution | Teikyo Heisei University |
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Principal Investigator |
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| Co-Investigator(Kenkyū-buntansha) |
米山 啓一郎 昭和大学, 医学部, 教授 (60192431)
佐藤 啓造 昭和大学, 医学部, 教授 (20162422)
石島 正之 東京都市大学, その他部局等, 名誉教授 (70150696)
島谷 祐一 東京都市大学, 工学部, 准教授 (20154263)
京相 雅樹 東京都市大学, 工学部, 准教授 (20277825)
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| Project Period (FY) |
2011-04-28 – 2015-03-31
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| Project Status |
Completed (Fiscal Year 2014)
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| Budget Amount *help |
¥3,770,000 (Direct Cost: ¥2,900,000、Indirect Cost: ¥870,000)
Fiscal Year 2013: ¥1,820,000 (Direct Cost: ¥1,400,000、Indirect Cost: ¥420,000)
Fiscal Year 2012: ¥650,000 (Direct Cost: ¥500,000、Indirect Cost: ¥150,000)
Fiscal Year 2011: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
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| Keywords | 個人同定 / 個人識別 / 生体指標 / 高周波心電図 / 一卵性双生児 / 個人認証 / 識別率 / 一致率 / 心電図 / 高周波 / ニューラルネットワーク / ディジタル時系列データ / 双生児 / インド / ケラブ州 / コディンジ |
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| Outline of Final Research Achievements |
Biometric individual identification techniques such as fingerprint pattern recognition are widely used. The aim of this study is to develop a highly cost-effective, non-invasive method for the distinction of identical twins. As a new technique, we have developed the HFECG (high frequency component of ECG) identification system. In this report, we proposed the application of this technique to distinguishing identical twins. Identification tests were performed with a neural network based system. Three pairs of identical Japanese twins in their twenties served as the test group while another 130 unrelated healthy Japanese individuals in their twenties served as the control group. Each of their heartbeats were detected and compared using this new method.
The result with the three pairs of identical twins was 100% accuracy. There were no difference in discrimination accuracy between the sets of identical twins and the normal unrelated controls.
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