桂林电子科技大学学报2017，Vol.37Issue(6)：442-446,5.
基于脉象分析的亚健康状态识别
Sub-health identification based on pulse analysis
摘要
Abstract
In order to improve the national health level and rapidly detect the sub-health status,the changes in the human body pulse are studied,the pulse detection system is designed.The system is divided into signal acquisition module and clas-sification recognition module.The signal acquisition module uses the pressure sensor to collect the pulse signal.For the noise interference in the signal,the pulse signal is denoised by 8-layer wavelet analysis,and the denoised waveform is seg-mented and resampled.The accuracy of the extracted eigenvalues is improved.The classification recognition module establi-shes the eigenvector according to the eigenvalue and the sub-health recognition model through the support vector machine. The experimental results show that the system has higher accuracy in the recognition of sub-health status.关键词
亚健康/脉诊/小波分析/支持向量机Key words
sub-health/pulse diagnosis/wavelet analysis/support vector machine分类
信息技术与安全科学引用本文复制引用
莫太平,王彦丽..基于脉象分析的亚健康状态识别[J].桂林电子科技大学学报,2017,37(6):442-446,5.基金项目
国家自然科学基金(60964001) （60964001）
广西自然科学基金(D200220) （D200220）
