Abstract

Info

Title:: Frequency measurement of microvascular vasomotion based on video signals

Author(s):: LI Dan; CHEN Zhaoxue; Institute of Medical Imaging Engineering, School?f?ealth?cience?nd?ngineering, University of Shanghai for Science and Technology, Shanghai 200093, China

Keywords:: Keywords: remote photoplethysmograph microcirculation microvascular motion wavelet decomposition independent component analysis

Abstract:: Abstract: Aiming at problems of high requirements for equipments and time consumption for microvascular vasomotion detection, a simple method for observing the frequency of microvascular vasomotion is proposed. The phone camera is used to capture videos of human tongue, and the regions of interest are extracted in each frame of the picture after preprocessing. The curve of the blood volume varying with time is obtained by investigating the variations of pixel gray values of each region. Then wavelet decomposition is used to denoise the blood volume varying signals of color channel in each region of interest, and independent component analysis is carried out on the noise-reduced signals to reduce the effects of light and environmental factors. Finally, the frequencies of main peak points in frequency domain of source signals are extracted for fitting. The experimental results show that the extracted signal frequency belongs to frequency range of microvascular vasomotion.