Automatic detection of left ventricular asynergy by fuzzy reasoning

Ryohei Haga, Yasue Mitsukura, Minoru Fukumi, Norio Akamatsu, Motokatsu Yasutomo

研究成果: Conference contribution

1 被引用数 (Scopus)

抄録

Recently, as sophisticated medical instruments have I been developed, the inside state of a human body becomes well-known. However doctor's burden becomes heavier because the number of images which are taken with medical instruments per person drastically increases. Therefore, the development of an automatic diagnostic imaging systems is needed. By the way, as Japanese daily life is Americanized, heart diseases such as angina and myocardial infarction are increasing. We need to observe consecutive cardiac muscle motion to detect their diseases. In this paper the left ventricular axis and the contact points in the heart region are defined, and then cardiac muscle momentum is extracted. We discriminate an abnormal case and a normal case by using a neural network and fuzzy reasoning to confirm the effectiveness of our approach. Finally, in order to show the effectiveness of the proposed method, we show the simulation examples by using real images.

本文言語English
ホスト出版物のタイトルProceedings of 2004 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2004
編集者S.J. Ko
ページ338-342
ページ数5
出版ステータスPublished - 2004 12 1
外部発表はい
イベントProceedings of 2004 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2004 - Seoul, Korea, Republic of
継続期間: 2004 11 182004 11 19

出版物シリーズ

名前Proceedings of 2004 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2004

Other

OtherProceedings of 2004 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2004
CountryKorea, Republic of
CitySeoul
Period04/11/1804/11/19

ASJC Scopus subject areas

  • Engineering(all)

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