A method for assessing human health status based on pulse waves

Traditional Chinese medicine (TCM) believes that the assessment of human health status can be achieved through pulse analysis of six positions of the radial arteries of both hands, but the current research mainly focuses on a single pulse signal. Therefore, in this study, six positions of pulse waves of both hands were extracted by the coherent averaging method. The frequency domain characteristic parameters of pulse waves were extracted using FFT (fast Fourier transform), and the SVM (support vector machine) method was used to classify healthy and previously ill groups. A total of 1107 volunteers participated in this study, including 432 healthy samples and 675 previously ill samples. The results showed that the accuracy of the SVM model for classifying the two types of people was 92.0%, and the classification accuracy of healthy and previously ill people was 86.1% and 96.0%, respectively. This method might provide new ideas for human health assessment from the perspective of TCM.