Verification of high accuracy detection system based on wavelet transform for ECGs
| Project/Area Number |
25420443
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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 |
Control engineering/System engineering
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| Research Institution | The University of Tokushima |
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Principal Investigator |
Oya Hidetoshi 徳島大学, 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) |
2013-04-01 – 2016-03-31
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| Project Status |
Completed (Fiscal Year 2015)
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| Budget Amount *help |
¥5,070,000 (Direct Cost: ¥3,900,000、Indirect Cost: ¥1,170,000)
Fiscal Year 2015: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2014: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2013: ¥2,210,000 (Direct Cost: ¥1,700,000、Indirect Cost: ¥510,000)
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| Keywords | 高精度識別システム / 心室細動 / 心室頻拍 / 無脈性電気活動 / 正常洞調律 / 除細動 / ウェーブレット解析 / 無脈静電気活動 / 電気的除細動 / 自己心拍再開 / ウェーブレット変換 / 識別アルゴリズム / 心電図波形 |
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| Outline of Final Research Achievements |
Currently, AEDs are installed in train stations, airports and so on. AEDs analyze the electrocardiogram (ECG) and recognize whether an electrical shock should be applied or not, i.e. the performance of detection algorithms in AEDs is of great importance. However, accurate, quick and reliable detection of ventricular arrhythmia is not easy, and thus many researchers are now tackling the development of ECG detection systems.
On the other hand, we have proposed a high accuracy detection system based on wavelet transform for ECGs (Grant-in-Aid for Scientific Research (C)). The objective in this study is that the proposed system is to be in practical use. The work scheduled in the research period has been completed, i.e. we have evaluated the efficiency of the proposed detection system. The proposed system can achieve good performance comparing with the existing results. Thus the proposed detection system can improve the survival rate for patients suffering from sudden cardiac arrest.
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Report
(4 results)
Research Products
(4 results)
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[Journal Article] An Wavelet Transform-Based Discrimination Algorithm for Electrocardiogram2014
Author(s)
Yoshihide Onishi, Hidetoshi Oya, Yuki Nishida, Yoshihiro Ogino, Kazushi Nakano, Yoshihiro Yamaguchi, Hiroshi Miyauchi and Takayuki Okai
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Journal Title
Proceedings of Asia-Pacific Signal and Information Processing Association Annual Submit and Conference 2014 (APSIPA ASC 2014), USB (ID:1107), Siem Reap, CAMBODIA(2014)
Volume: --
Related Report
Peer Reviewed / Acknowledgement Compliant
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