心音信号时频分析方法研究
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摘要
目的:研究分析适用于心音信号的时频分析方法,该方法具有较高的时频分辨率,能够充分表现不同心音信号的时频特性,实现心脏病辅助诊断。方法:对心音信号进行相关预处理后采用维格纳分布、短时傅里叶变换和S变换3种方法分别对心音信号进行分析。结果:维格纳分布法具有良好的时频聚集性,且分辨率高,但含有交叉干扰项;短时傅里叶变换的时频聚集性差,且分辨率低;S变换的方法时频分辨率非常高,时频聚集性良好。结论:S变换具有宽度可变的高斯窗,频率分辨率高,可以满足心音信号时频分析对频率分辨率的要求。
Objective: To study a suitable method for time-frequency analysis of heart sound, which has good time-frequency resolution to display the features of different heart sounds and assists the diagnosis of heart diseases. Methods: Wigner-Ville distribution, short-time Fourier transform and S transform were used to analyze the heart sound after the pre-processing of heart sound. Results: Wigner-Ville distribution had good time-frequency clustering and high resolution, but it contained cross interference items; short-time Fourier transform had bad time-frequency clustering and low resolution; S transform had high time-frequency resolution and good time-frequency clustering. Conclusion: S transform can meet the requirements for the analysis of heart sound because of its Gaussian window, the width of which can change and high time-frequency resolution.
Objective: To study a suitable method for time-frequency analysis of heart sound, which has good time-frequency resolution to display the features of different heart sounds and assists the diagnosis of heart diseases. Methods: Wigner-Ville distribution, short-time Fourier transform and S transform were used to analyze the heart sound after the pre-processing of heart sound. Results: Wigner-Ville distribution had good time-frequency clustering and high resolution, but it contained cross interference items; short-time Fourier transform had bad time-frequency clustering and low resolution; S transform had high time-frequency resolution and good time-frequency clustering. Conclusion: S transform can meet the requirements for the analysis of heart sound because of its Gaussian window, the width of which can change and high time-frequency resolution.
引文
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[4] 陈洁,张俊琦.正常心音的第一、第二心音频率检测[J].生物医学工程,2008,27(2):114-117.
[5] 陈若珠,李军红,韦哲,等.基于Cohen类时频分布的心音信号分析[J].医疗卫生装备,2011,32(7):17-19.
[6] Kim IY,Lee SM,Yeo HS.Featureextraction for heart sound recognition basedon time-frequency analysis[C]Amta, GA,USA:Proceedings of the first joint BMES/EMBS Conference Serving Humanity AdvancingTechnology,1999:13-16.
[7] Rakovic P,Sejdic E,Stankovic LJ,et al.Time-frequency signal processing approacheswith applications to heart sound analysis[C]Valencia:Computers in Cardiology,17-20Sept.2006,33:197-200.
[8] Claude Visagie.Screening for abnormalheart sounds and murmurs by implementingneural networks[D].Cape Town:StellenboschUniversity,2007:4-10.
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[10] 胡玉良,王海滨,陈健.心音在时频两域中解析方法的研究[J].西华大学学报,2009,28(5):5-8.
[11] 李天云,汪峰,于翠翠.基于时频方法的工频通信系统上行信号检测[J].电力自动化装备,2008,28(6):55-58.
[12] 程发斌,汤宝平,刘文艺.一种抑制维格纳分布交叉项的方法及在故障诊断中应用[J].中国机械工程,2008,19(14):1727-1731.
[13] Shaparas Binti Daliman.Time-frequencyanalysis and classification of heart soundsand mururs[D].Joho:University TeknologiMalalysia,2004:45-57.
[14] 易吉良,彭建春.电压凹陷的改进S变换检测方法[J].湖南大学学报,2010,37(10):52-56.
[15] 刘海鹏,李言俊,张科.基于广义S变换进行雷达信号时频滤波去噪[J].航空计算技术,2010,40(5):23-25.
[16] 张晓峰.基于广义S变换的地震资料信噪分离方法[J].物探化探算技术,2010,32(5):480-483.
[2] Omran S,Tayel M.A heart soundsegmentation and feature extraction algorithmusing wavelets,Communications and SignalProcessing[C]Egypt: Alexandria University-Faculty of engineering. First InternationalSymposium,2004:235-238.
[3] 韦哲,李战明.基于声卡的心音信号采集与处理系统的实验研究[J].中国医疗设备,2008,23(10):7-10.
[4] 陈洁,张俊琦.正常心音的第一、第二心音频率检测[J].生物医学工程,2008,27(2):114-117.
[5] 陈若珠,李军红,韦哲,等.基于Cohen类时频分布的心音信号分析[J].医疗卫生装备,2011,32(7):17-19.
[6] Kim IY,Lee SM,Yeo HS.Featureextraction for heart sound recognition basedon time-frequency analysis[C]Amta, GA,USA:Proceedings of the first joint BMES/EMBS Conference Serving Humanity AdvancingTechnology,1999:13-16.
[7] Rakovic P,Sejdic E,Stankovic LJ,et al.Time-frequency signal processing approacheswith applications to heart sound analysis[C]Valencia:Computers in Cardiology,17-20Sept.2006,33:197-200.
[8] Claude Visagie.Screening for abnormalheart sounds and murmurs by implementingneural networks[D].Cape Town:StellenboschUniversity,2007:4-10.
[9] Michael E.McConnell.Pediatric HeartSounds[M].London:Springer Verlag,2008:2-11.
[10] 胡玉良,王海滨,陈健.心音在时频两域中解析方法的研究[J].西华大学学报,2009,28(5):5-8.
[11] 李天云,汪峰,于翠翠.基于时频方法的工频通信系统上行信号检测[J].电力自动化装备,2008,28(6):55-58.
[12] 程发斌,汤宝平,刘文艺.一种抑制维格纳分布交叉项的方法及在故障诊断中应用[J].中国机械工程,2008,19(14):1727-1731.
[13] Shaparas Binti Daliman.Time-frequencyanalysis and classification of heart soundsand mururs[D].Joho:University TeknologiMalalysia,2004:45-57.
[14] 易吉良,彭建春.电压凹陷的改进S变换检测方法[J].湖南大学学报,2010,37(10):52-56.
[15] 刘海鹏,李言俊,张科.基于广义S变换进行雷达信号时频滤波去噪[J].航空计算技术,2010,40(5):23-25.
[16] 张晓峰.基于广义S变换的地震资料信噪分离方法[J].物探化探算技术,2010,32(5):480-483.
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