Recognition of Sub-health State Based on Principal Component Analysis

摘要：

　　In order to evaluate sub-health state,a new method based on Principal Component Analysis(PCA)was discussed in this paper.Simultaneous multi-information acquisition of ECG signals and pulse images was achieved by using self-designed simultaneous acquisition system.According to the change of grid area in each frame,pulse beat waves were obtained from pulse image.Then the extraction and PCA of ECG and pulse features were realized.Through Linear Discriminant Analysis(LDA)algorithm,the satisfying recognition results of sub-health states classification were gained.The results demonstrate the validity and feasibility of this method,which provides a new way for assessing the sub-health state.

关键词： sub-health state PCA simultaneous acquisition system LDA

作者: LI Wan-bing QUAN Hong-wei Peng Dong-liang

作者单位: Department of Mechanical and Electrical Engineering,Xijing University,Xian 710123 Institute of Information and Control,Hangzhou Dianzi University,Hangzhou 310018,China

会议类型: 国际会议

会议名称: 第26届中国控制与决策会议(2014 CCDC)

会议地点: 长沙

会议语种:英文

页码: 3013-3018

在线出版日期: 2014-05-31（万方平台首次上网日期，不代表论文的发表时间）