目的：探索光电容积脉搏波频域分析进行中医体质辨识的可行性，建立简单可靠的气虚体质判定模型。方法：对招募到的志愿者应用《中医体质分类和判定标准》体质量表评估体质状态；通过传感器采集脉搏波信号，并进行功率谱分析提取频谱特征信息；利用数据挖掘8种分类算法建立气虚体质判定模型。结果：脉搏波谐波峰值：气虚组>非气虚组；随机森林算法时模型最优，10折交叉验证测试的准确性达到80.4%，受试者工作特征曲线下面积为0.824，模型具有一定的可靠性。结论：应用光电容积脉搏波频域分析进行气虚体质辨识的方法是可行的，可为构建中医体质自动辨识系统提供前期基础，为亚健康人群在家庭保健中进行体质辨识提供简便快速的辅助工具。

This study was aimed to explore the feasibility of identification of traditional Chinese medicine (TCM) constitutionbased on photoplethysmography (PPG) frequency domain analysis, and to establish an automatic identification system (AIS)of TCM constitution with simple operation and good generalization. The Classification and Determination of Constitutionin TCM was used to evaluate the subjects?? constitutional state. Pulse wave sensor was used to collect the pulse wavesignal. Spectral characteristics were analyzed by power spectrum analysis. Eight classification algorithms of data miningwere used to establish the model of qi-insufficiency constitution. The results showed that the pulse wave harmonic peakwas that qi-insufficiency constitution was higher than health group; the model was optimal when random forest algorithmwas used; and the accuracy of 10-CV test was 80.4%. Sensitivity reached 73.2%. Specificity and receiver operatorcharacteristic were all above 0.8. The model has certain reliability. It was concluded that it was feasible to identify qiinsufficiencyconstitution by means of frequency domain analysis of PPG. It provides preliminary work for theconstruction of AIS of TCM constitution as well as a simple and quick assistant tool for the constitution identification ofsubhealth group in family health care.

国家自然科学基金项目（No. 81373985）：药性组合三联密码子的作用规律及其应用研究，负责人：王耘。