Abstract
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. Furtheremore, in order to show the effectiveness of the proposed method, we show the simulation example by using the real data.
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Ohsawa, T.: The system science-of-nursing Clinical radiotherapeutics, vol. 3, Igaku-Shoin(incorporated company) (1970)
Morita, Y.: Science-of-nursing complete works Physiology, vol.2, (New edition) Mejikaru Furenndo company(incorporated company) (1993)
Seki, A.: Science-of-nursing complete works Adult’s science of nursing 3, vol. 18, (New edition) Mejikaru Furenndo company(incorporated company) (1992)
Stevens, A., Lowe, J.: literary work, Uchiyama, Y.:Supervision of translation, Organization study of a human body(The 2nd edition of original), Nanei-Dou(incorporated company) (1999)
Beimu, G.: Literary work, Serizawa, T.: Supervision of translation, The cardiac catheterization contrast treatment method(The 4nd edition of original), Nanei-Dou(incorporated company) (1993)
Umehara, M., Tsuruoka, S., Kimura, F., Wakabayashi, T., Miyake, Y.: Quantification of 2-D Regional Wall Motion in High-Frame Rate Echocardiograpy D-II). The Institute of Electronics, Information and Communication Engineers J79-D-II(2), 286–294 (1996)
Nishiura, M., Yuasa, M., Watanabe, M.: Active Contour Extraction Method Using Partial Shape Constraint Contour Model. The Institute of Electronics, Information and Communication Engineers(D-II) J83-D-II(1), 183–190 (2000)
Ohsihta, S., Shiozaki, A., Masuyama, T., Kondo, H.: Quantification of 2-D Regional Wall Motion in High-Frame Rate Echocardiograpy (A) J84-A(12), 1461–1468 (2001)
Tsai, D.-Y., Lee, Y.: Reasoning Based Computer-Aided Diagnosis for Automated Discrimination of Myocardial Heart Disease from Ultrasonic Images. Information and Communication Engineers A J84-A(12), 1431–1438 (2001)
Philip, D., Wasserman.: Foriginal work, Naohiro Ishii and Minoru TsukadaFtranslation, Neural Computing, Morikita Shuppan(incorporated company) (1993)
Deibofu, J.: Foriginal work, Katsurai, H.: Ftranslation, A guide to the neural network architecture, Morikita Shuppan(incorporated company) (1992)
Nakano, K., Iinuma, K.: Admission and apprenticeship the neuro computer, Gijyutu-Hyouronsya(Incorporated company) (1989)
Tanaka, M.: Admission of soft computing, Kagaku-gijyutu-syuppan(Incorporated company) (1998)
Mizumoto, M.: Fuzzy theory and its application, Saiensu-sya(Incorporated company) (1988)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2004 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Mitsukura, Y., Mitsukura, K., Fukumi, M., Akamatsu, N., Pedrycz, W. (2004). Medical Diagnosis System Using the Intelligent Fuzzy Systems. In: Negoita, M.G., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2004. Lecture Notes in Computer Science(), vol 3213. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30132-5_110
Download citation
DOI: https://doi.org/10.1007/978-3-540-30132-5_110
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-23318-3
Online ISBN: 978-3-540-30132-5
eBook Packages: Springer Book Archive