Yang Cheng, Wang Xuemin, Sun Tao, Yu Hongqiang, Li Xiang, Zhou Peng
School of Precision Instruments and Opto-Electronics, Tianjin University, Tianjin 300072, China.
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi. 2012 Dec;29(6):1178-83.
Atherosclerosis, one of the serious cardiovascular diseases, is very harmful to human bodies. The early diagnosis of arteriosclerosis is of great significance. In this paper, we collected pulse from healthy adults and patients with atherosclerosis. Using Hilbert-Huang Transform (HHT) and sample entropy, we analyzed the pulse and found the differences between the patients and healthy people. After using the empirical mode decomposition (EMD) to process pulse signals, we calculated sample entropy for each intrinsic mode function (IMF), and did statistical analysis of the IMF. The sample entropy of a first IMF from patients with atherosclerosis is less than that from healthy persons, and there was significant differences between the healthy and patient groups. In calculating the energy value of different frequencies on the HHT marginal spectrum, we found the energy in patients moved to low frequencies obviously. The energy value of frequency between 0-1 Hz was significantly higher in patients than in the healthy group. The t test also showed that the values between the two groups had significant differences. The statistics and figures showed that early diagnosis was feasible based on HHT and sample entropy.
动脉粥样硬化是严重的心血管疾病之一，对人体危害极大。动脉硬化的早期诊断具有重要意义。本文采集了健康成年人和动脉粥样硬化患者的脉象。利用希尔伯特-黄变换（HHT）和样本熵对脉象进行分析，发现患者与健康人之间的差异。在使用经验模态分解（EMD）处理脉象信号后，我们计算了每个本征模函数（IMF）的样本熵，并对IMF进行了统计分析。动脉粥样硬化患者第一个IMF的样本熵低于健康人，健康组与患者组之间存在显著差异。在计算HHT边际谱上不同频率的能量值时，我们发现患者的能量明显向低频移动。患者0-1Hz频率的能量值明显高于健康组。t检验也表明两组之间的值存在显著差异。统计数据和图表表明，基于HHT和样本熵进行早期诊断是可行的。
