Detection of Respiration Movement Asymmetry Between the Left and Right Lungs Using Mutual Information and Transfer Entropy
Detection of Respiration Movement Asymmetry Between the Left and Right Lungs Using Mutual Information and Transfer Entropy
复制标题
使用互信息和传递熵检测左右肺之间的呼吸运动不对称性
DOI:
10.1109/access.2017.2772819
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发表时间:
2018-01-01
期刊:
影响因子:
3.9
通讯作者:
Liu,Guanzheng
中科院分区:
文献类型:
--
作者:
Zheng,Lianrong;Li,Yifan;Liu,Guanzheng
Using diagnostic imaging, asymmetry in the mechanic of the left and right lungs has been discovered in unilateral lung disease. Unilateral lung disease might affect information interaction between two lungs, which is often neglected in the study of lung function. In this paper, twenty-one subjects were recruited to collect bio-impedance respiratory signals of the left and right lungs. The differences of correlation and amplitude between the two respiratory signals were combined to verify three types of respiration movement: respiration symmetry (RS), respiration asymmetry type I (T1RA), and respiration asymmetry type II (T2RA). We extracted the correlation coefficient, mutual information (MI), and transfer entropy (TE) to evaluate lung function in these three types of lung respiration. Results showed that MI was significantly larger in RS than in T1RA and T2RA. TE in both directions (TE(<inline-formula> <tex-math notation="LaTeX">$\text{L}\to \text{R}$ </tex-math></inline-formula>) and TE(<inline-formula> <tex-math notation="LaTeX">$\text{R}\to \text{L}$ </tex-math></inline-formula>)) were significantly different in RS, T1RA, and T2RA. TE(<inline-formula> <tex-math notation="LaTeX">$\text{R}\to \text{L}$ </tex-math></inline-formula>) increased progressively when shifting RS to T1RA and then to T2RA. The prominent direction of transferred information in two lungs was significantly different for T1RA and T2RA. The results indicate that MI is suitable parameters for detecting respiration symmetry and asymmetry. TE is a useful tool for detecting two respiration movement asymmetry. The results provide a better understanding of the mechanisms underlying responsible for pulmonary ventilation redistribution and could provide novel clinical markers to evaluate asymmetry of two lungs effectively.