Medical diagnosis system using the intelligent fuzzy systems

Yasue Mitsukura, Kensuke Mitsukura, Minoru Fukumi, Norio Akamatsu, Witold Pedrycz

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)


Recently in the world, various imaging diagnostic technologies are studied and used in practical. It is necessary to develop the automatic diagnosing processing system for detecting the internal organ. By the way, in Japan cardiac disease is one of the most common cause of death. Therefore, it is necessary to measure cardiac function quantitatively and evaluate the motions of continuous cardiac muscle. Furthermore, we propose the developing the system to detect the asynergy in the left ventricle. The processing images are X-ray photograms of the left ventricle by cardiac catheterization. In this paper, we propose the detection system of the asynergy in the left ventricle by using neural networks and the fuzzy inference. Furthermore, in order to show the effectiveness of the proposed method, we show the simulation example by using the real data.

Original languageEnglish
Pages (from-to)807-826
Number of pages20
JournalLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Publication statusPublished - 2004 Dec 1
Externally publishedYes


  • Asynergy
  • Cardiac momentum
  • Contact points
  • Fuzzy inference
  • Left ventricle
  • NN
  • The left ventricle's axis

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science


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