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Review

A review of intelligent systems for heart sound signal analysis

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Pages 553-563 | Received 08 Jan 2017, Accepted 18 Sep 2017, Published online: 09 Oct 2017

References

  • World Health Ranking. “Top ten causes of death” [Internet]. [cited 2016 April]. Available from: http://www.worldlifeexpectancy.com/egypt-coronary-heart-disease
  • World Health Ranking [Internet]. [cited 2016 April]. Available from: http://www.worldlifeexpectancy.com/egypt-coronary-heart-disease
  • Heart Diseases “Heart disease in Egypt” [Internet]. [cited 2016 April]. Available from: http://www.cdc.gov/heartdisease/risk_factors.html
  • Bahekar L, Abhishek M, Sinha G. Heart sound segmentation techniques: a survey. IOSR-JEEE. 2014;1:2278–1676.
  • Abhishek M, Sinha G. Denoising of PCG signal by using wavelet transforms. Adv Comput Res. 2012;4:46–49.
  • Avendaňo-Valencia L, Ferrero J, Castellanos-Domınguez G. Improved parametric estimation of time-frequency representation for cardiac murmur discrimination. Comput Cardiol. 2007;35:157–160.
  • Jiang Z, Choi S. A cardiac sound characteristics waveform method for in-home heart disorder monitoring with electric stethoscope. Expert Syst Appl. 2006;31:286–298.
  • Balasubramaniam D, Nedumaran D. Efficient computation of phonocardiographic signal analysis in digital signals processor based system. IJCTE. 2010;2:1793–8201.
  • Yuenyong S, Nishihara A, Kongprawechnon W, et al. A framework for automatic heart sound analysis without segmentation. Biomed Eng Online. 2011;10:10–13.
  • Martínez-Alajarín J, Ruiz-Merino R. Efficient method for events detection in phonocardiographic signals. SPIE. 2005;5839:398–409.
  • Emmanuel B. A review of signal processing techniques for heart sound analysis in clinical diagnosis. J Med Eng Technol. 2012;36:303–307.
  • Johnston M, Collins S, Storrow A. The third heart sound for diagnosis of acute heart failure. Curr Heart Fail Rep. 2007;4:164–169.
  • Varghees Nivitha V, Ramachandran K. A novel heart sound activity detection framework for automated heart sound analysis. Biomed Signal Process Control. 2014;13:174–188.
  • Difference between systolic and diastolic [Internet]. [cited 2016 April]. Available from: http://www.differencebetween.net/science/health/difference-between-systolic-and-diastolic/
  • Nigam V, Priemer R. A simplicity-based fuzzy clustering approach for detection and extraction of murmurs from the phonocardiogram. Physiol Meas. 2007;29:33–47.
  • Bonow R, Carabello B, Freed M, et al. Guidelines for the management of patients with valvular heart disease executive summary. J Am Coll Cardiol. 1998;32:1486–1582.
  • Cheitlin M, Alpert J, Armstrong W, et al. ACC/AHA guidelines for the clinical application of echocardiography. J Am Coll Cardiol. 1997;95:1686–1744.
  • Carabello B, Crawford F. Valvular heart disease. N Engl J Med. 1997;337: 32–41.
  • Rafael C, Richard W, Barry R, et al. Digital image processing. J Biomed Opt. 2009;14:029901.
  • Ahlstrom C. Nonlinear phonocardiographic signal processing. PhD thesis. Linköping, Sweden: Linköping University; 2008.
  • Hedayioglu L, Coimbra M, Mattos S. Heart sound segmentation for digital stethoscope integration. Master’s thesis. Porto, Portugal: University of Porto; 2009.
  • Pedrosa J, Castro A, Vinhoza TT. Automatic heart sound segmentation and murmur detection in pediatric phonocardiograms. 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Chicago, IL: IEEE; 2014. p. 2294–2297.
  • Hamza C, Debbal S, Bereksi-Reguig F. Segmentation of heart sounds and heart murmurs. J Mech Med Biol. 2008;8:549–559.
  • Kumar D, Carvallo PD, Antunes M, et al. Wavelet transform and simplicity based heart murmur segmentation. Comput Cardiol IEEE. 2006;33:173–176.
  • Quiceno A, Delgado E, Vallverd M, et al. Effective phonocardiogram segmentation using nonlinear dynamic analysis and high-frequency decomposition. Comput Cardiol. 2008;35:161–164.
  • Gupta CN, Palaniappan R, Swaminathan S. Classification of homomorphic segmented phonocardiogram signals using grow and learn network. 27th Annual International Conference of the Engineering in Medicine and Biology Society, 2005. IEEE-EMBS 2005, 2006 Jan 17. IEEE; 2006. p. 4251–4254.
  • Kouras N, Boutana D, Benidir M. Wavelet based segmentation and time-frequency caracterisation of some abnormal heart sound signals. 2012 24th International Conference on Microelectronics (ICM), 2012 Dec 16. IEEE; 2012. p. 1–4.
  • Wang P, Kim Y, Ling L, et al. First heart sound detection for phonocardiogram segmentation. Conf Proc IEEE Eng Med Biol Soc. 2006;5:5519–5522.
  • Moukadem A, Dieterlen A, Hueber N, et al. A robust heart sounds segmentation module based on S-transform. Biomed Signal Process Control. 2013;8:273–281.
  • Dokür Z, Ölmez T. Heart sound classification using wavelet transform and incremental self-organizing map. Digit Signal Process. 2008;18:951–959.
  • Liu J, Wang H, Liu WJ, et al. Autonomous detection and classification of congenital heart diseases using an auscultation vest. JCIS. 2012;8:485–492.
  • Kumar D, Carcvallo P, Couceiro R, et al. Heart murmur classification using complexity signatures. 2010 20th International Conference on Pattern Recognition (ICPR), 2010 Aug 23. IEEE; 2010. p. 2564–2567.
  • Guillermo J, Sanchez E, Ricalde L, et al. Intelligent classification of real heart diseases based on radial wavelet neural network. Cairo, Egypt: IBEC; 2014. p. 162–165.
  • Liang H, Lukkarinen S, Hartimo I. Heart sound segmentation algorithm based on heart sound envelogram. Comput Cardiol IEEE. 1997;24:105–108
  • Kang S, Doroshow R, McConnaughey J, et al. Heart sound segmentation toward automated heart murmur classification in pediatric patents. 2015 8th International Conference on Signal Processing, Image Processing and Pattern Recognition (SIP), 2015 Nov 25. IEEE; 2015. p. 9–12.
  • Nieblas CI, Alonso MA, Conte R, et al. High performance heart sound segmentation algorithm based on matching pursuit. 2013 IEEE Digital Signal Processing and Signal Processing Education Meeting (DSP/SPE), 2013 Aug 11. IEEE; 2013. p. 96–100.
  • Deng S, Ji-Qing H. Towards heart sound classification without segmentation via autocorrelation feature and diffusion maps. Future Gener Comput Syst. 2016;60:13–21.
  • Boutana D, Benidir M, Barkat B. Segmentation and time-frequency analysis of pathological Heart Sound Signals using the EMD method. 2014 Proceedings of the 22nd European Signal Processing Conference (EUSIPCO), 2014 Sep 1. IEEE; 2014. p. 1437–1441.
  • Salleh SH, Hussain HS, Swee TT, et al. Acoustic cardiac signals analysis: a Kalman filter-based approach. Int J Nanomedicine. 2012;7:2873–2881.
  • Daubechies I. Ten lectures on wavelets regional. Conference Series in Applied Mathematics; SIAM; Philadelphia; 1992.
  • Haykin S. Neural networks, and learning machines. Upper Saddle River, NJ, USA: Pearson; 2009.
  • Mitchell T. Machine learning. New York (NY): McGraw Hill; 1997.
  • Reed TR, Reed NE, Fritzon P. Heart sound analysis for symptom detection and computer-aided diagnosis. SMPT. 2004;12:129–146.
  • Jaramillo-Garzon J, Quiceno-Manrique A, Godino-Llorente I, Castellanos-Dominguez CG. Feature extraction for murmur detection based on support vector regression of time-frequency representations. 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2008 (EMBS 2008), 2008 Aug 20. IEEE; 2008. p. 1623–1626.
  • Ari S, Saha G. In search of an optimization technique for artificial neural network to classify abnormal heart sounds. Appl Soft Comput. 2009;9:330–340.
  • Das R, Turkoglu I, Sengur A. Diagnosis of valvular heart diseases through neural networks ensembles. Comput Methods Programs Biomed. 2009;93:185–191.
  • Bunluechokchai C, Ussawawongaraya W. A wavelet-based factor for classification of heart sounds with mitral regurgitation. IOSR J. 2009;2:44–48.
  • Wen-Chung K, Chih-Chao W. Automatic phonocardiograph signal analysis for detecting heart valve disorders. Expert Syst Appl. 2011;38:6458–6468.
  • Phanphaisarn W, Roeksabutr A, Wardkein P, et al. Heart detection and diagnosis based on ECG and EPCG relationships. Med Devices (Auckl). 2011;4:133–144.
  • Safara F, Doraisamy S, Azman A, et al. Multi-level basis selection of wavelet packet decomposition tree for heart sound classification. Comput Biol Med. 2013;43:1407–1414.
  • Amiri AM, Armano G. An intelligent diagnostic system for congenital heart defects. IJACSA. 2013;4:93–97.
  • Roy AK, Misal A. Comparative evaluation for classification of PCG signals using KNN technique for wavelet transform. IJETM. 2014;2:1–4.
  • Farzam B, Jalil S. The diagnosis of heart diseases based on PCG signals using MFCC coefficients and SVM classifier. IJISET. 2014;1:654–659.
  • Redlarski G, Dawid G, Aleksander P. A system for heart sounds classification. PLoS One. 2014;9:e112673.
  • Shivnarayan P, Ram BP, Niranjan G. Automatic diagnosis of septal defects based on tunable-Q wavelet transform of cardiac sound signals. Expert Syst Appl. 2015;42:3315–3326.
  • KOÇYIĞIT Y. Heart sound signal classification using fast independent component analysis. Turk J Electr Eng Comput Sci. 2016;24:2949–2960.
  • Harfash EJ. Diagnostic the heart valve diseases using eigenvectors. IJCSMC. 2016;5:273–278.
  • Imani M, Hassan G. Curve fitting, filter bank and wavelet feature fusion for classification of PCG signals. 24th Iranian Conference on Electrical Engineering (ICEE), IEEE; 2016. p. 203–208.
  • El-Dahshan ES, Mohsen HM, Revett K, et al. Computer-aided diagnosis of a human brain tumor through MRI: a survey and a new algorithm. Expert Syst Appl. 2014;41(11):5526–5545.

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