基于高斯拟合的第二心音分裂评价方法
Anovel Evaluation Method of S2 Split Based on Gaussian Fitting
DOI: 10.12677/MD.2023.132035, PDF,    科研立项经费支持
作者: 刘 超, 刘熠辉, 何 勇, 刘 智, 张宇欣, 何杵壕, 曾文华, 贺家俊:湖南理工学院信息科学与工程学院,湖南 岳阳
关键词: 第二心音第二心音分裂系数高斯拟合重叠率S2S2split GMM Overlapping Rate
摘要: 鉴于利用第二心音主动脉瓣关闭(A2)和肺动脉瓣关闭(P2)的时间间隔检测心音分裂程度易受心跳影响而使检测精度低,本研究提出一种基于高斯拟合的第二心音分裂系数(S2split )用于检测第二心音分裂评估新方法。其主要贡献如下:① 基于高斯拟合的A2和P2统计量的评估方法;② 基于高斯成分重叠率(OLR)的第二心音分裂系数(S2split )定义。本研究通过对标准和临床数据库的2908个心音周期进行分析,在总体精度为1的前提下,得S2split统计和分裂对应关系为:μS2split>0.4,且σS2splitS2split>0.45为异常分裂;0<μS2split<0.4,且σS2splitS2split<0.45为正常分裂;μS2split=0为单一无分裂第二心音。
Abstract: Due to the fact that the time interval (TA2→P2 ) between the sounds produced by aortic valve closure (A2) and pulmonary valve closure (P2) can be easily influenced by the heartbeat,it cannot accurately judge the second heart sound split (S2). This study proposes a novel evaluation methodology for de-tecting the wide splitting of S2 using the second heart sound splitting coefficient ( S2split ) based on Gaussian fitting.The main contributions are as follows: ① An evaluation method of A2 and P2 statis-tics based on Gaussian fitting; ② A definition of the second heart sound splitting coefficient ( S2split) based on the Gaussian components overlapping rate (OLR).This study analyzed 2908 heart sound cycles from standard and clinical databases. Based on the overall accuracy of 1, the S2split statistics and splitting corresponding relationship is that: if μS2split>0.4 and σS2splitS2split>0.45, it is an abnormal split; if 0<μS2split<0.4 and σS2splitS2split<0.45, it is a normal split; if μS2split=0, it is a single S2 with no splitting.
文章引用:刘超, 刘熠辉, 何勇, 刘智, 张宇欣, 何杵壕, 曾文华, 贺家俊. 基于高斯拟合的第二心音分裂评价方法[J]. 医学诊断, 2023, 13(2): 205-217. https://doi.org/10.12677/MD.2023.132035

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