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Proceedings Paper

Study on the classification algorithm of degree of arteriosclerosis based on fuzzy pattern recognition
Author(s): Li Ding; Runjing Zhou; Guiying Liu
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Paper Abstract

Pulse wave of human body contains large amount of physiological and pathological information, so the degree of arteriosclerosis classification algorithm is study based on fuzzy pattern recognition in this paper. Taking the human's pulse wave as the research object, we can extract the characteristic of time and frequency domain of pulse signal, and select the parameters with a better clustering effect for arteriosclerosis identification. Moreover, the validity of characteristic parameters is verified by fuzzy ISODATA clustering method (FISOCM). Finally, fuzzy pattern recognition system can quantitatively distinguish the degree of arteriosclerosis with patients. By testing the 50 samples in the built pulse database, the experimental result shows that the algorithm is practical and achieves a good classification recognition result.

Paper Details

Date Published: 19 August 2010
PDF: 8 pages
Proc. SPIE 7820, International Conference on Image Processing and Pattern Recognition in Industrial Engineering, 78200B (19 August 2010); doi: 10.1117/12.867445
Show Author Affiliations
Li Ding, Inner Mongolia Univ. (China)
Runjing Zhou, Inner Mongolia Univ. (China)
Guiying Liu, Affiliated Hospital of Inner Mongolia Medical College (China)


Published in SPIE Proceedings Vol. 7820:
International Conference on Image Processing and Pattern Recognition in Industrial Engineering
Shaofei Wu; Zhengyu Du; Shaofei Wu; Zhengyu Du; Shaofei Wu; Zhengyu Du, Editor(s)

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