Abstract

Info

Title:: Adaptive filtering algorithm for cardiac interference noise in thoracic impedance respiratory signal

Author(s):: XIAO Xiang1; FU Qionglin2; ZHANG Wei2; WEN Wei2; CHEN Hongbo1; 1. School of Life and Environmental Sciences, Guilin University of Electronic Technology, Guilin 541004, China 2. Edan Instruments, Inc., Shenzhen 518112, China

Keywords:: thoracic impedance respiratory monitoring cardiac interference adaptive filtering

Abstract:: Effective removal of cardiac interference noise is essential to improve the accuracy of thoracic impedance respiration measurements. A cascaded LMS adaptive filter which can effectively remove the cardiac interference noise is proposed according to the characteristics of the real thoracic impedance respiration signal. The comparisons with several commonly used denoising algorithms reveal that the proposed algorithm can better remove cardiac interference while retaining the respiratory component of the original thoracic impedance respiration signal. The feasibility and accuracy of the proposed algorithm are further verified using real respiratory data with cardiac interference, and the experimental data show that the proposed method has a signal-to-noise ratio of (23.568±3.037) dB, a mean square error of 0.002±0.001, and a mean absolute error of 0.033±0.011, which fully confirms its effectiveness and stability.