[Study on several methods of character analysis and classification for pulse-condition based on statistics theory ]

Yue Zhou1, Qing Xu, Wei Kong

  • 1Institute of Image Processing & Pattern Recognition, Shanghai Jiaotong University, Shanghai 200030, China. zhouyue@sjtu.edu.cn

Summary

This study explores statistical methods for pulse condition analysis, using wavelet analysis, AR modeling, and template matching for feature extraction. It evaluates five classification techniques for improved diagnostic accuracy in pulse diagnosis.

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