Abstract

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Author(s):: CHEN Zhencheng1; SONG Hao2; ZHU Jianming1; LIANG Yongbo1; 1. School of Life and Environmental Sciences, Guilin University of Electronic Technology, Guilin 541004, China; 2. School of Electronic Engineering and Automation, Guilin University of Electronic Technology, Guilin 541004, China

Keywords:: ; Keywords: photoplethysmography; respiratory signal; respiratory rate; infrared light; photoelectric pulse sensor

Abstract:: Abstract: The physical characteristics of the photoplethysmography (PPG) pulse waves of human fingers are investigated in this study and a hardware circuit is designed based on Lambert’s law to realize the non-invasive acquisition of human PPG pulse waves. After the collected PPG pulse wave signals are filtered and amplified, the complete pulse wave signals are identified through feature selection and extraction. Subsequently, the obtained pulse wave signals are processed with empirical mode decomposition, and an eigenmode function with an appropriate frequency is adopted to reconstruct the respiratory wave signals to be measured and display the signals on the screen. Meanwhile, the respiratory signals of the human body are collected with PM-9000 Express patient monitor (Mindray). The data of 10 volunteers are also collected with the system. The spectral analysis between the respiratory wave signals obtained by the proposed system and the signals measured by the patient monitor and the analysis of the related parameters showed that the two kinds of respiratory waves have a good correlation. The final result of this study reveals that using empirical mode decomposition to extract the respiratory signals contained in the PPG pulse waves of human fingers is proved to be accurate and feasible. The proposed method can be used to extract respiratory signals from PPG pulse waves.