| Project/Area Number |
22560402
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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 |
System engineering
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| Research Institution | The University of Tokushima |
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Principal Investigator |
OYA Hidetoshi 徳島大学, 大学院・ソシオテクノサイエンス研究部, 准教授 (30361835)
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| Co-Investigator(Kenkyū-buntansha) |
NAKANO Kazushi 電気通信大学, 大学院・情報理工学研究科, 教授 (90136531)
YAMAGUCHI Yoshihiro 杏林大学, 医学部, 教授 (10210379)
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| Project Period (FY) |
2010 – 2012
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| Project Status |
Completed (Fiscal Year 2012)
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| Budget Amount *help |
¥4,160,000 (Direct Cost: ¥3,200,000、Indirect Cost: ¥960,000)
Fiscal Year 2012: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2011: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2010: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
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| Keywords | システム情報(知識)処理 / 高精度識別システム / ウェーブレット解析 / 重症不整脈 / 心室細動 / 心室頻拍 / ウェーブレット変換 / 波形識別アルゴリズム / 自己心拍再開 / 早期除細動 / 心電図波形の識別 / AHAデータベース / MIT-BIHデータベース |
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| Research Abstract |
In this study by using wavelet transform, we firstly have analyzed electrocardiograms such as Sinus Rhythm (SR), Ventricular Fibrillation (VF) and so on, and next, we have derived some characteristic parameters for such signals. Based on these characteristic parameters and some indices, we have proposed some detection algorithms.The proposed detection algorithm for electrocardiogram achieves good performance comparing with the exiting results. Furthermore, we have studied wavelet based identification methods for electrocardiogram including state transition such that electrocardiogram varies from SR to VF, and verified their effectiveness.
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