Wrist Pulse Waveform Feature Eztraction and Dimension Reduction with Feature Variability Analysis

摘要：

Time-domain feature analysis on wrist pulse waveform is common in Traditional Chinese Medical (TCM) engineering and diagnosis modernization. A derivative-based method on the automated time-domain feature extraction of wrist pulse waveform is proposed in this paper with the consideration of some practical issues. Variability analysis is performed on the features extracted from the pulse waveform trends. The dimension of pattern, i.e. vector of features, is then reduced by the cross-correlation analysis on the variability of features. A real classification case, with dataset including pulse waveform from 20 healthy person and 50 persons with cardiovascular disease, is performed based on pattern containing both reduced features and other combinations. Comparison results show that features are properly selected and the classification performance is acceptable.

关键词： wrist pulse waveform feature eztraction time domain variability analysis dimension reduction classification

作者: Chunming Xia Yan Li Jianjun Yan Yiqin Wang Haixia Yan Rui Guo Fufeng Li

作者单位: Center for Mechatronics Engineering East China University of Science and Technology Shanghai,P.R.Chi School of Basic Medicine Shanghai University of TCM Shanghai,P.R.China Shanghai University of TCM Shanghai,P.R.China

会议类型: 国际会议

会议名称: The 2nd International Conference on Bioinformatics and Biomedical Engineering(iCBBE 2008)(第二届生物信息与生物医学工程国际会议)

会议地点: 上海

会议语种:英文

页码: 2048-2051

在线出版日期: 2008-05-16（万方平台首次上网日期，不代表论文的发表时间）