Abstract

Info

Title:: A Hilbert-Huang transform-based pulse rate variability extraction method

Author(s):: CHOU Yongxin1; QI Chunyang2; JIN Yi3; ZHANG Ruilei1; GU Ya1; 1. School of Electrical and Automatic Engineering, Changshu Institute of Technology, Suzhou 215500, China; 2. School of Computer Science and Technology, China University of Mining and Technology, Xuzhou 221116, China; 3. Changshu Medicine Examination Institute, Suzhou 215500, China

Keywords:: ; pulse signals; pulse rate variability; Hilbert-Huang transform; empirical mode decomposition

Abstract:: A novel method based on Hilbert-Huang transform for extracting pulse rate variability (PRV) signals is proposed in this study. The pulse signals are firstly decomposed by empirical mode decomposition to obtain the intrinsic mode functions of pulse signals and their marginal spectra. According to the frequency range of the obtained marginal spectra, the intrinsic mode functions components which can reflect the change of the pulse rate are selected, and the PRV signals are extracted from those components. The proposed method is applied into the actual pulse signal acquisition, and the results show that the proposed method can accurately extract the PRV signals from the pulse signals and has a good anti-noise performance.