| Project/Area Number |
21560243
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
Dynamics/Control
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| Research Institution | Yamaguchi University |
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Principal Investigator |
JIANG Zhongwei 山口大学, 大学院・理工学研究科, 教授 (60225357)
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| Co-Investigator(Kenkyū-buntansha) |
KIDO Shoji 山口大学, 大学院・医学系研究科, 教授 (90314814)
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| Project Period (FY) |
2009 – 2011
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| Project Status |
Completed (Fiscal Year 2011)
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| Budget Amount *help |
¥4,680,000 (Direct Cost: ¥3,600,000、Indirect Cost: ¥1,080,000)
Fiscal Year 2011: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2010: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
Fiscal Year 2009: ¥1,950,000 (Direct Cost: ¥1,500,000、Indirect Cost: ¥450,000)
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| Keywords | 心音計測と解析 / 心音特徴パラメータ / 時間周波数解析法 / 心疾患の識別 / 聴診システム / 弁膜症 / 症例データベース / Heart Sound Measument / auscultation / Analysis / Discrimination / Heart Sound / Mesurement |
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| Research Abstract |
In this study, we first developed a prototype of auscultation cloth which is easy to wear and to collect good quality heart sound even by general users. The heart sounds both from the normal persons and heart disease patients have been collected by using the auscultation wear. The collected sound signals including their feature parameters obtained by analysis have been made in the heart disease sound database. To improve the resolution both in time and frequency domains analysis, a novel time-frequency analysis, called as Frequency Slice Wavelet Transform(FSWT), was proposed. By using this method, it is possible to extract more accurate heart sound feature parameters both in the frequency and time domains. By applying the data clustering method(SVM) to these parameters, the results shown that the heart disease can be identified with high accuracy.
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