Adaptive filtering algorithm for cardiac interference noise in thoracic impedance respiratory signal
10.3969/j.issn.1005-202X.2025.08.016
- VernacularTitle:胸阻抗呼吸信号中心动干扰噪声自适应滤除算法
- Author:
Xiang XIAO
1
;
Qionglin FU
;
Wei ZHANG
;
Wei WEN
;
Hongbo CHEN
Author Information
1. 桂林电子科技大学生命与环境科学学院,广西 桂林 541004
- Publication Type:Journal Article
- Keywords:
thoracic impedance;
respiratory monitoring;
cardiac interference;
adaptive filtering
- From:
Chinese Journal of Medical Physics
2025;42(8):1086-1092
- CountryChina
- Language:Chinese
-
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.
