2017 Fiscal Year Final Research Report
A study on artifact separation method for multi-dimensional biosignals using IVA and its application
| Project/Area Number |
15K06123
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Multi-year Fund |
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| Section | 一般 |
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| Research Field |
Measurement engineering
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| Research Institution | Kindai University |
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Principal Investigator |
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| Co-Investigator(Kenkyū-buntansha) |
小濱 剛 近畿大学, 生物理工学部, 准教授 (90295577)
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| Project Period (FY) |
2015-04-01 – 2018-03-31
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| Keywords | IVA / ICA / 母体腹壁生体電位 / 胎児心電 / 胎児心電位分布 / 筋電アーチファクト |
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| Outline of Final Research Achievements |
In this study, we developed a method for removing or separation of additive and convolutive artifacts artifact from multi-dimensional biosignals with independent vector analysis. We applied the method to extract fetal electrocardiogram from maternal abdomen as a test of our proposed method. As a results, the proposed method showed better performance rather than the conventional independent component analysis method. In addition, we developed a method for estimating a distribution of fetal cardiac potential which was observed on the maternal abdomen. The distributions are of help in order to find electrodes’ coordination which has better performance on the maternal abdomen.
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| Free Research Field |
統計的生体信号処理
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