Identification of Pulmonary Hypertension Using Entropy Measure Analysis of Heart Sound Signal

Entropy

Ting Li¹  Yuanlin Jiang²  Hong Tang²  Xinpei Wang³ 

[1] College of Information and Communication Engineering, Dalian Minzu University, Dalian 116024, China;Department of Biomedical Engineering, Dalian University of Technology, Dalian 116024, China;School of Control Science and Engineering, Shandong University, Jinan 250100, China;

关键词: pulmonary hypertension;    heart sound;    sample entropy;    fuzzy entropy;    fuzzy measure entropy;    kernel density estimation;    confounding factor;   

DOI  :  10.3390/e20050389

来源: DOAJ

【 摘 要 】

This study introduced entropy measures to analyze the heart sound signals of people with and without pulmonary hypertension (PH). The lead II Electrocardiography (ECG) signal and heart sound signal were simultaneously collected from 104 subjects aged between 22 and 89. Fifty of them were PH patients and 54 were healthy. Eleven heart sound features were extracted and three entropy measures, namely sample entropy (SampEn), fuzzy entropy (FuzzyEn) and fuzzy measure entropy (FuzzyMEn) of the feature sequences were calculated. The Mann–Whitney U test was used to study the feature significance between the patient and health group. To reduce the age confounding factor, nine entropy measures were selected based on correlation analysis. Further, the probability density function (pdf) of a single selected entropy measure of both groups was constructed by kernel density estimation, as well as the joint pdf of any two and multiple selected entropy measures. Therefore, a patient or a healthy subject can be classified using his/her entropy measure probability based on Bayes’ decision rule. The results showed that the best identification performance by a single selected measure had sensitivity of 0.720 and specificity of 0.648. The identification performance was improved to 0.680, 0.796 by the joint pdf of two measures and 0.740, 0.870 by the joint pdf of multiple measures. This study showed that entropy measures could be a powerful tool for early screening of PH patients.

【 授权许可】

Unknown