Realization of Heart Sound Envelope Extraction Implemented on LabVIEW Based on Hilbert-Huang Transform_Journal of Biomedical Engineering

Authors：

TANZhixiang ¹ , ZHANGYi ² ,  ZENGDeping ² , WANGHua ¹

1. State Key Laboratory of Ultrasound Engineering in Medicine Co-Founded by Chongqing and the Ministry of Science and Technology, College of Biomedical Engineering Chongqing Medical University, Chongqing 400016, China;
2. National Engineering Research Center of Ultrasound Medicine, Chongqing 401121, China;

Corresponding author：

ZENGDeping, Email: light0415@163.com

Keywords：

heart sound envelope; sound card; LabVIEW; Hilbert-Huang transform

DOI：

10.7507/1001-5515.20150048

Video：

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Abstract Full text Figures/Tables Video References Cited by

We proposed a research of a heart sound envelope extraction system in this paper. The system was implemented on LabVIEW based on the Hilbert-Huang transform (HHT). We firstly used the sound card to collect the heart sound, and then implemented the complete system program of signal acquisition, pretreatment and envelope extraction on LabVIEW based on the theory of HHT. Finally, we used a case to prove that the system could collect heart sound, preprocess and extract the envelope easily. The system was better to retain and show the characteristics of heart sound envelope, and its program and methods were important to other researches, such as those on the vibration and voice, etc.

Citation： TANZhixiang, ZHANGYi, ZENGDeping, WANGHua. Realization of Heart Sound Envelope Extraction Implemented on LabVIEW Based on Hilbert-Huang Transform. Journal of Biomedical Engineering, 2015, 32(2): 263-268. doi: 10.7507/1001-5515.20150048 Copy

1.	侯海良, 罗良才, 成运, 等.基于盲源提取和希尔伯特变换的心音包络提取[J].计算机仿真, 2012, 29(10):215-218.
2.	RUFFO M, CESARELLI M, ROMANO M, et al. An algorithm for FHR estimation from fetal phonocardiographic signals[J]. Biomed Signal Proces Control, 2010, 5(2):131-141.
3.	全海燕, 王威廉.基于小波多分辨分析的第一第二心音提取[J].北京生物医学工程, 2004, 23(1):64-66.
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6.	赵治栋, 赵知劲, 张嵩, 等.心音自动分段算法研究[J].航天医学与医学工程, 2004, 17(6):452-456.
7.	HUANG N E, LONG S R. The empirical mode decomposition and the Hilbert spectrum for nonliner and non-stationary time series analysis[J]. Proc Roy Soc Lond A, 1998, 454(1971):903-995.
8.	江洪.基于小波和HHT的心音信号分析与识别[D].武汉:武汉理工大学, 2012.
9.	于德介, 程军圣, 杨宇.机械故障诊断的Hilbert-Huang变换方法[M].北京:科学出版社, 2006:320-356.
10.	王春, 彭东林.Hilbert-Huang变换及其在去噪方面的应用[J].仪器仪表学报, 2004, 25(4):42-45.
11.	许晓飞.基于希尔伯特-黄变换的心音包络提取[J].航天医学与医学工程, 2008, 21(2):134-136.
12.	郑维彪.利用声卡进行振动信号采集和分析研究[D].南京:南京航空航天大学, 2008.
13.	徐成斌.心音图学[M].北京:科学出版社, 1982:120-123.
14.	胡泊.智能电子听诊器设计与实现[D].天津:天津大学, 2010.
15.	李国成.虚拟Hilbert-Huang变换信号分析仪的设计与实现[J].仪器仪表学报, 2010, 31(8):9-11.
16.	李博.基于LabVIEW的HHT的研究与应用[J].机电工程技术, 2008, 37(10):111-114.
17.	屠志海.心音信号的分析方法研究[D].上海:华东师范大学, 2011.

1. 侯海良, 罗良才, 成运, 等.基于盲源提取和希尔伯特变换的心音包络提取[J].计算机仿真, 2012, 29(10):215-218.
2. RUFFO M, CESARELLI M, ROMANO M, et al. An algorithm for FHR estimation from fetal phonocardiographic signals[J]. Biomed Signal Proces Control, 2010, 5(2):131-141.
3. 全海燕, 王威廉.基于小波多分辨分析的第一第二心音提取[J].北京生物医学工程, 2004, 23(1):64-66.
4. 周静.心音信号的分析及其特征提取方法的研究[J].中国生物医学工程学报, 2005, 24(6):685-689.
5. 姚晓帅, 郭兴明, 陈剑, 等.基于数学形态学的心音包络提取与识别方法研究[J].北京生物医学工程, 2004, 23(3):201-204.
6. 赵治栋, 赵知劲, 张嵩, 等.心音自动分段算法研究[J].航天医学与医学工程, 2004, 17(6):452-456.
7. HUANG N E, LONG S R. The empirical mode decomposition and the Hilbert spectrum for nonliner and non-stationary time series analysis[J]. Proc Roy Soc Lond A, 1998, 454(1971):903-995.
8. 江洪.基于小波和HHT的心音信号分析与识别[D].武汉:武汉理工大学, 2012.
9. 于德介, 程军圣, 杨宇.机械故障诊断的Hilbert-Huang变换方法[M].北京:科学出版社, 2006:320-356.
10. 王春, 彭东林.Hilbert-Huang变换及其在去噪方面的应用[J].仪器仪表学报, 2004, 25(4):42-45.
11. 许晓飞.基于希尔伯特-黄变换的心音包络提取[J].航天医学与医学工程, 2008, 21(2):134-136.
12. 郑维彪.利用声卡进行振动信号采集和分析研究[D].南京:南京航空航天大学, 2008.
13. 徐成斌.心音图学[M].北京:科学出版社, 1982:120-123.
14. 胡泊.智能电子听诊器设计与实现[D].天津:天津大学, 2010.
15. 李国成.虚拟Hilbert-Huang变换信号分析仪的设计与实现[J].仪器仪表学报, 2010, 31(8):9-11.
16. 李博.基于LabVIEW的HHT的研究与应用[J].机电工程技术, 2008, 37(10):111-114.
17. 屠志海.心音信号的分析方法研究[D].上海:华东师范大学, 2011.

Journal of Biomedical Engineering

Realization of Heart Sound Envelope Extraction Implemented on LabVIEW Based on Hilbert-Huang Transform

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