Hu Xiao-Juan, Zhang Lei, Xu Jia-Tuo, Liu Bao-Cheng, Wang Jian-Ying, Hong Yan-Long, Tu Li-Ping, Cui Ji
Shanghai Innovation Center of TCM Health Service, Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China.
Basic Medical College, Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China.
Evid Based Complement Alternat Med. 2018 May 22;2018:1976041. doi: 10.1155/2018/1976041. eCollection 2018.
The same range of blood pressure values may reflect different vascular functions, especially in the elderly. Therefore, a single blood pressure value may not comprehensively reveal cardiovascular function. This study focused on identifying pulse wave features in the elderly that can be used to show functional differences when blood pressure values are in the same range.
First, pulse data were preprocessed and pulse cycles were segmented. Second, time domain, higher-order statistics, and energy features of wavelet packet decomposition coefficients were extracted. Finally, useful pulse wave features were evaluated using a feature selection and classifier design.
A total of 6,075 pulse wave cycles were grouped into 3 types according to different blood pressure levels and each group was divided into 2 categories according to a history of hypertension. The classification accuracy of feature selection in the 3 groups was 97.91%, 95.24%, and 92.28%, respectively.
Selected features could be appropriately used to analyze cardiovascular function in the elderly and can serve as the basis for research on a cardiovascular risk assessment model based on Traditional Chinese Medicine pulse diagnosis.
相同范围的血压值可能反映不同的血管功能，尤其是在老年人中。因此，单一的血压值可能无法全面揭示心血管功能。本研究聚焦于识别老年人的脉搏波特征，这些特征可用于在血压值处于相同范围时显示功能差异。
首先，对脉搏数据进行预处理并分割脉搏周期。其次，提取小波包分解系数的时域、高阶统计量和能量特征。最后，使用特征选择和分类器设计评估有用的脉搏波特征。
根据不同血压水平，共将6075个脉搏波周期分为3类，且每组根据高血压病史分为2个类别。3组中特征选择的分类准确率分别为97.91%、95.24%和92.28%。
所选特征可适用于分析老年人的心血管功能，并可为基于中医脉诊的心血管风险评估模型的研究提供依据。
