Abstract:  To monitor the daily blood pressure, developing a non-contact method for measuring blood pressure is necessary. In a previous study, we proposed a novel method that described the vascular structure of an entire human face as an electric circuit based on amplitude and phase analyses using visible and thermal images of the face. However, the model developed by that method did not consider the order of blood flow because the model applied at random the extracted features. In the present study, it considers a model that incorporates the order of blood flow utilizing amplitude and phase analyses. As a result, the estimated accuracy is improved by considering the order of blood flow. Higher accuracy requires more detailed vascular structure information of the face. It concluded that the facial feature, which is related to the blood pressure, can be obtained by the CEOF analysis.