Presentation 2004/6/18
Automatic Detection of Left Ventricular Asynergy by Fuzzy Reasoning
Ryohei HAGA, Yasue MITSUKURA, Minoru FUKUMI, Norio AKAMATSU, Motokatsu YASUTOMO,
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Abstract(in English) Recently, as medical instruments developed, the inside of a human body state can be 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 dietary life is Americanized, heart diseases such as angin and myocardial infaction 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 cardiac muscle momentum is extracted. We discriminate an asynergy case and a normal case by using a neural network and fuzzy reasoning to confirm the effectiveness of our approach.
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Keyword(in English) Neural network / Fuzzy reasoning / Asynergy / Left ventricular
Paper # NC2004-40
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Committee NC
Conference Date 2004/6/18(1days)
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Registration To Neurocomputing (NC)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Automatic Detection of Left Ventricular Asynergy by Fuzzy Reasoning
Sub Title (in English)
Keyword(1) Neural network
Keyword(2) Fuzzy reasoning
Keyword(3) Asynergy
Keyword(4) Left ventricular
1st Author's Name Ryohei HAGA
1st Author's Affiliation University of Tokushima()
2nd Author's Name Yasue MITSUKURA
2nd Author's Affiliation Okayama University
3rd Author's Name Minoru FUKUMI
3rd Author's Affiliation University of Tokushima
4th Author's Name Norio AKAMATSU
4th Author's Affiliation University of Tokushima
5th Author's Name Motokatsu YASUTOMO
5th Author's Affiliation Higashi-Tokushima Hospital
Date 2004/6/18
Paper # NC2004-40
Volume (vol) vol.104
Number (no) 140
Page pp.pp.-
#Pages 5
Date of Issue