Study on the classification algorithm of degree of arteriosclerosis based on fuzzy pattern recognition

Li Ding; Runjing Zhou; Guiying Liu

doi:10.1117/12.867445

19 August 2010 Study on the classification algorithm of degree of arteriosclerosis based on fuzzy pattern recognition

Li Ding, Runjing Zhou, Guiying Liu

Proceedings Volume 7820, International Conference on Image Processing and Pattern Recognition in Industrial Engineering; 78200B (2010) https://doi.org/10.1117/12.867445
Event: International Conference on Image Processing and Pattern Recognition in Industrial Engineering, 2010, Xi'an, China

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.

Citation Download Citation

Li Ding, Runjing Zhou, and Guiying Liu "Study on the classification algorithm of degree of arteriosclerosis based on fuzzy pattern recognition", Proc. SPIE 7820, International Conference on Image Processing and Pattern Recognition in Industrial Engineering, 78200B (19 August 2010); https://doi.org/10.1117/12.867445

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KEYWORDS

Fuzzy logic

Pattern recognition

Detection and tracking algorithms

Image classification

Fuzzy systems

Databases

Evolutionary algorithms

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