Automatic moment segmentation and peak detection analysis of heart sound pattern via short-time modified Hilbert transform

Computer Methods and Programs in Biomedicine

Volumn 114, Issue 3, 2014, Pages 219-230

  Sun, Shuping ^a   Jiang, Zhongwei ^a   Wang, Haibin ^b   Fang, Yu ^b  

^a YAMAGUCHI UNIVERSITY   (Japan)

^b XIHUA UNIVERSITY   (China)

Author keywords

HS; HS moment segmentation; Peak location; STMHT

Indexed keywords

CARDIOLOGY; DISEASES;

HS; NUMERICAL EXPERIMENTS; RHEUMATIC HEART DISEASE; STMHT; TETRALOGY OF FALLOT; VENTRICULAR SEPTAL DEFECT; ZERO CROSSING POINTS; ET; HEART SOUNDS; HILBERT TRANSFORM; PEAK DETECTION;

TIME DOMAIN ANALYSIS;

ALGORITHM; ARTICLE; AUTOMATIC MOMENT SEGMENTATION; FALLOT TETRALOGY; HEART ATRIUM SEPTUM DEFECT; HEART BEAT; HEART CYCLE; HEART SOUND; HEART VENTRICLE SEPTUM DEFECT; HUMAN; MATHEMATICAL PHENOMENA; MEASUREMENT ACCURACY; PEAK DETECTION ANALYSIS; PHONOCARDIOGRAPHY; RHEUMATIC HEART DISEASE; SHORT TIME MODIFIED HILBERT TRANSFORM; SOUND ANALYSIS; SOUND DETECTION; SOUND RELATED PHENOMENA; VIOLA; WAVEFORM; ANALYTIC METHOD; AORTIC SEPTAL DEFECT; AUSCULTATION; AUTOMATION; CARDIOVASCULAR PARAMETERS; CHINESE; DATA BASE; HEART DISEASE; HEART MOVEMENT; HEART SOUND PATTERN; HOSPITAL PERSONNEL; MAJOR CLINICAL STUDY; COMPUTER PROGRAM; HEART; HEART AUSCULTATION; HEART RATE; HEART SEPTUM DEFECT; PATHOPHYSIOLOGY; PHYSIOLOGY; PROCEDURES; SIGNAL PROCESSING; THEORETICAL MODEL; TIME;

ALGORITHMS; AUTOMATION; HEART; HEART AUSCULTATION; HEART RATE; HEART SEPTAL DEFECTS, ATRIAL; HEART SEPTAL DEFECTS, VENTRICULAR; HEART SOUNDS; HUMANS; MODELS, THEORETICAL; RHEUMATIC HEART DISEASE; SIGNAL PROCESSING, COMPUTER-ASSISTED; SOFTWARE; TETRALOGY OF FALLOT; TIME FACTORS;

EID: 84899062312     PISSN: 01692607     EISSN: 18727565     Source Type: Journal    
DOI: 10.1016/j.cmpb.2014.02.004     Document Type: Article

References (30)

1. Sun S., Wang H., Jiang Z., Fang Y., Tao T. Segmentation-based heart sound feature extraction combined with classifier models for a VSD Diagnosis system. Expert Systems with Applications 2014, (in press).
2. Cesarelli M., Ruffo M., Romano M., Bifulco P. Simulation of foetal phonocardiographic recordings for testing of FHR extraction algorithms. Computer Methods and Programs in Biomedicine 2012, 107:513-523.
3. Kovcs F., Horvth C., Balogh dm T., Hossz G. Fetal phonocardiography-past and future possibilities. Computer Methods and Programs in Biomedicine 2011, 104:19-25.
4. Das R., Turkoglu I., Sengur A. Diagnosis of valvular heart disease through neural networks ensembles. Computer Methods and Programs in Biomedicine 2009, 93:185-191.
5. Maglogiannis I., Loukis E., Zafiropoulos E., Stasis A. Support vectors machine-based identification of heart valve diseases using heart sounds. Computer Methods and Programs in Biomedicine 2009, 95:47-61.
6. Sepehri A.A., Hancq J., Dutoit T., Gharehbaghi A., Kocharian A., Kiani A. Computerized screening of children congenital heart diseases. Computer Methods and Programs in Biomedicine 2008, 92:186-192.
7. Jiang Z., Choi S. A cardiac sound characteristic waveform method for in-home heart disorder monitoring with electric stethoscope. Expert Systems with Applications 2006, 31:286-298.
8. Malarvili M., Kamarulafizam I., Hussain S., Helmi D. Heart sound segmentation algorithm based on instantaneous energy of electrocardiogram. Computers in Cardiology 2003, 327-330.
9. Haghighi-Mood A., Torry J. A sub-band energy tracking algorithm for heart sound segmentation. Computers in Cardiology 1995, 501-504.
10. Sepehri A.A., Gharehbaghi A., Dutoit T., Kocharian A., Kiani A. A novel method for pediatric heart sound segmentation without using the ECG. Computer Methods and Programs in Biomedicine 2010, 99:43-48.
11. Kumar D., Carvalho P., Antunes M., Henriques J., Maldonado M., Schmidt R., Habetha J. Wavelet transform and simplicity based heart murmur segmentation. Computers in Cardiology 2006, 173-176.
12. Kumar D., Carvalho P., Antunes M., Henriques J., Eugenio L., Schmidt R., Habetha J. Detection of S1 and S2 heart sounds by high frequency signatures. 28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2006 (EMBS'06) 2006, 1410-1416.
13. Huiying L., Sakari L., Iiro H. A heart sound segmentation algorithm using wavelet decomposition and reconstruction. Proceedings of the 19th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 1997 1997, 1630-1633.
14. Omran S., Tayel M. A heart sound segmentation and feature extraction algorithm using wavelets. Control, Communications and Signal Processing, 2004 2004, 235-238.
15. Samjin Choi Z.J. Development of wireless heart sound acquisition system for screening heart valvular disorder. Proceedings of the International Conference on Instrumentation, Control and Information Technology (SICE) 2005, 3771-3776.
16. Choi S., Jiang Z. Comparison of envelope extraction algorithms for cardiac sound signal segmentation. Expert Systems with Applications 2008, 34:1056-1069.
17. Yan Z., Jiang Z., Miyamoto A., Wei Y. The moment segmentation analysis of heart sound pattern. Computer Methods and Programs in Biomedicine 2010, 98:140-150.
18. Manikandan M., Soman K. A novel method for detecting R-peaks in electrocardiogram (ECG) signal. Biomedical Signal Processing and Control 2012, 7:118-128.
19. Choi S., Jiang Z. Cardiac sound murmurs classification with autoregressive spectral analysis and multi-support vector machine technique. Computers in Biology and Medicine 2010, 40:8-20.
20. Nilsson M., Funk P., Olsson E.M., von Schele B., Xiong N. Clinical decision-support for diagnosing stress-related disorders by applying psychophysiological medical knowledge to an instance-based learning system. Artificial Intelligence in Medicine 2006, 36:159-176.
21. Choi S., Shin Y., Park H.-K. Selection of wavelet packet measures for insufficiency murmur identification. Expert Systems with Applications 2011, 38:4264-4271.
22. Kumar D., Carvalho R., Antunes M., Gil R., Henriques J., Eugenio L. A new algorithm for detection of S1 and S2 heart sounds. 2006 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP 2006 Proceedings 2006, II.
23. Livadas G., Constantinides A. Image edge detection and segmentation based on the Hilbert transform. 1988 International Conference on Acoustics, Speech, and Signal Processing - ICASSP-88 1988, 1152-1155.
24. Kohlmann K. Corner detection in natural images based on the 2-D Hilbert transform. Signal Processing 1996, 48:225-234.
25. Jung W.-H., Lee S.-G. An R-peak detection method that uses an SVD filter and a search back system. Computer Methods and Programs in Biomedicine 2012, 1121-1132.
26. Poularikas A. The Handbook of Formulas and Tables for Signal Processing. The Electrical Engineering Handbook Series 1999, CRC Press Inc.
27. Marple J. L., Computing the discrete-time "analytic" signal via FFT. IEEE Transactions on Signal Processing 1999, 47:2600-2603.
28. HeartRate Heart rate chart 2012, http://www.heart.com/heart-rate-chart.html.
29. enotes, Cardiac cycle, ardiac-cycle,. http://www.enotes.com/cardiac-cycle-reference/cardiac-cycle.
30. Michigan Heart Sound and Murmur Library, University of Michigan Heart Sound and Murmur Library,. http://www.med.umich.edu/lrc/psb/heartsounds/index.htm.