| 基于脉象信号的亚健康状态的识别 |
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| 引用本文： | 张爱华,杨凤霞,王润东.基于脉象信号的亚健康状态的识别[J].兰州理工大学学报,2006,32(6):82-84. |
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| 作者姓名： | 张爱华 杨凤霞 王润东 |
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| 作者单位： | 兰州理工大学,电气工程与信息工程学院,甘肃,兰州,730050;上海理工大学,光学与电子信息工程学院,上海,200093 |
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| 基金项目： | 国家自然科学基金(30670529) |
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| 摘 要： | 提出了一种新的识别亚健康状态的方法.利用HK-2000C集成化数字脉搏传感器提取人体左关处桡动脉脉搏信号,然后计算脉搏功率谱,并在此基础上提取功率谱峰值及功率谱重心,并将它们对应的频率作为特征量,利用线性判别式分析(LDA)对所提特征进行分类.经对30例样本的识别检验,结果表明,用功率谱重心及重心频率作为特征量分类率达到80%,用功率谱峰值和峰值频率作为特征量,分类正确率达到了86.667%.
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| 关 键 词： | 亚健康 脉象 功率谱 线性判别式 |
| 文章编号： | 1673-5196(2006)06-0082-03 |
| 收稿时间： | 2005-08-30 |
| 修稿时间： | 2005年8月30日 |
Recognition of sub-health status by using pulse signal |
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| ZHANG Ai-hua,YANG Feng-xia,WANG Run-dong.Recognition of sub-health status by using pulse signal[J].Journal of Lanzhou University of Technology,2006,32(6):82-84. |
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| Authors: | ZHANG Ai-hua YANG Feng-xia WANG Run-dong |
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| Institution: | 1. College of Electrical and Information Engineering, Lanzhou Univ. of Tech., Lanzhou 730050, China; 2. College of Optoelectric and Electric Information Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China |
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| Abstract: | A new method for identifying the sub-health status was presented.Pulse signal of radial artery were picked up by using HK2000C digital integrated pulse transducer,and then the power spectrum of the pulse was calculated.Then the peak value,peak frequency,center of gravity(cg) and gravity frequency of power spectrum were extracted.And a linear discriminant analysis(LDA) was used to classify them for pattern recognition of sub-health.It was shown by checking the recognition of 30 sampling cases that the recognition accuracy of 80% was attained by using cg and gravity frequency of power spectrum as the characteristics.And the recognition accuracy was 86.667% by using peak value and peak frequency of power spectrum as characteristics. |
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| Keywords: | sub-health pulse condition power spectrum linear discriminant analysis(LDA) |
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