Abstract

Info

Title:: An algorithm based on video signals of pulse waves on the finger tip for stable detection of heart rates

Author(s):: CHENG Min; CHEN Zhaoxue; School of Medical Instrument and Food Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China

Keywords:: ; Keywords: pulse wave; heart rate; fast independent component analysis; photoplethysmography

Abstract:: Abstract: Objective To propose a pulse wave-based algorithm that can detect the heart rates stably. Methods A fast independent component analysis (FastICA) algorithm is proposed to process the video signals of pulse waves on the finger tip. Firstly, the video of the finger was obtained by cell phone camera; and the region of interest was extracted in each frame of the picture; and the curve of the blood volume changing with time was obtained by investigating the variation of pixel gray values of each frame image. Then, RGB channel segregation and FastICA were conducted on regions of interest. The correlative analysis was performed on R, G channel signals and the estimated signals after blind source separation. The most relevant signals were adopted to obtain heart rates which were then compared with the heart rates measured by wave peak detection. Finally, an algorithm for stably detecting heart rates was obtained, and SPSS Software was utilized for correlation analysis. Results The consistency of the R and G channel signals was higher than 95%. Moreover, the agreement between the algorithm and the wave peak detection was higher than 95%. Conclusion FastICA algorithm can effectively improve the stability of heart rate measurement. The experimental results verify the feasibility and effectiveness of the proposed method which is of great significance for the acquisition of human physiological parameters based on the pulse waves.