A Study on Kidney Diseases Diagnosis System for Sensation Type Using Physiological Signal Analysis 


Vol. 31,  No. 10, pp. 964-972, Oct.  2006


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  Abstract

The kidney keeps with close relationship in the internal organs, that the kidney function filtering eliminate the wastes to the urine on the processing to replace the old with the new blood. In case of these problem in the kidney, there is no way to catch out with self-awakening symptom except for serious illness. This problem can solve with keeping the systematic diagnosis method in the kidney trouble shooting. Under the circumstances, the importance of the diagnosis for the kidney disease is growing day after day. In this paper, among the great four diagnosises, using the way of ocular inspection & auscultation, we would like to propose trouble shooting in the way of the kidney. To do this, through the assistance of the input image, extract the value of the color with appropriate output, analizing the color of the face with related to the kidney, using the results we would like to get the accurate symptoms on the kidney’s problems. Also, through analysing and comparing with the relationship the kidney and the signal of voice, we would like to realize the proof system of human health. Finally, we’d like to make proof of the usefulness for proposed method from this study.

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  Cite this article

[IEEE Style]

D. Cho, B. Kim, S. Lee, "A Study on Kidney Diseases Diagnosis System for Sensation Type Using Physiological Signal Analysis," The Journal of Korean Institute of Communications and Information Sciences, vol. 31, no. 10, pp. 964-972, 2006. DOI: .

[ACM Style]

Dong-uk Cho, Bong-hyun Kim, and Se-hwan Lee. 2006. A Study on Kidney Diseases Diagnosis System for Sensation Type Using Physiological Signal Analysis. The Journal of Korean Institute of Communications and Information Sciences, 31, 10, (2006), 964-972. DOI: .

[KICS Style]

Dong-uk Cho, Bong-hyun Kim, Se-hwan Lee, "A Study on Kidney Diseases Diagnosis System for Sensation Type Using Physiological Signal Analysis," The Journal of Korean Institute of Communications and Information Sciences, vol. 31, no. 10, pp. 964-972, 10. 2006.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880