A Localization Method for First and Second Heart Sounds Based on Energy Detection and Interval Regulation

  • Min, Se Dong ;
  • Shin, Hangsik
  • Received : 2014.02.14
  • Accepted : 2015.05.12
  • Published : 2015.09.01


The present study suggests a localization method for the first (S1) and the second (S2) feature of heart sounds, based on an algorithm involving frequency filtering, energy detection, and interval regulation. Localization accuracy was evaluated by comparing the algorithm with the traditional Hilbert transform-based localization method. Results show that the sensitivity and the positive predictivity value of proposed method, respectively, were 97.27 % and 99.94 % in S1 detection and 94.99 % and 100 % in S2 detection.


Energy detection;Heart sound;Hilbert transform;Interval regulation;Localization;Phonocardiogram (PCG)


  1. C Gupta, R Palaniappan, S Swaminathan, and S Krishnan, Neural network classification of homomorphic segmented heart sounds, Applied Soft Computing Journal 7 (2007) 286-297.
  2. XY Zhang, E MacPherson, and YT Zhang, Relations between the timing of the second heart sound and aortic blood pressure, IEEE Trans Biomed Eng 55 (2008) 1291-7.
  3. SM Debbal and F Bereksi-Reguig, Automatic measure of the split in the second cardiac sound by using the wavelet transform technique, Comput Biol Med 37 (2007) 269-76.
  4. SM Debbal and F Bereksi-Reguig, Computerized heart sounds analysis, Comput Biol Med 38 (2008) 263-80.
  5. M El-Segaier, O Lilja, S Lukkarinen, L Sornmo, R Sepponen, and E Pesonen, Computer-based detection and analysis of heart sound and murmur, Ann Biomed Eng 33 (2005) 937-42.
  6. P Hult, T Fjallbrant, K Hilden, U Dahlstrom, B Wranne, and P Ask, Detection of the third heart sound using a tailored wavelet approach: method verification, Med Biol Eng Comput 43 (2005) 212-7.
  7. A Bartels and D Harder, Non-invasive determination of systolic blood pressure by heart sound pattern analysis, Clin Phys Physiol Meas 13 (1992) 249-56.
  8. A Iwata, N Ishii, N Suzumura, and K Ikegaya, Algorithm for detecting the first and the second heart sounds by spectral tracking, Med Biol Eng Comput 18 (1980) 19-26.
  9. C Ahlstrom, A Johansson, F Uhlin, T Lanne, and P Ask, Noninvasive investigation of blood pressure changes using the pulse wave transit time: a novel approach in the monitoring of hemodialysis patients, J Artif Organs 8 (2005) 192-7.
  10. A Johansson, C Ahlstrom, T Lanne, and P Ask, Pulse wave transit time for monitoring respiration rate, Med Biol Eng Comput 44 (2006) 471-8.
  11. SJ Shah and AD Michaels, Hemodynamic correlates of the third heart sound and systolic time intervals, Congest Heart Fail 12 Suppl 1 (2006) 8-13.
  12. H Liang, S Lukkarinen, and I Hartimo, Heart sound segmentation algorithm based on heart sound envelogram, Computers in Cardiology (1997) 105-108.
  13. A. Moukadem, A. Dieterlen, N. Hueber, C. Brandt, Comparative study of heart sounds localization, Proc. SPIE 8068, Bioelectronics, Biomedical, and Bioinspired Systems V; and Nanotechnology V, 80680P(2011) 99
  14. H Liang, S Lukkarinen, and I Hartimo, A boundary modification method for heart sound segmentation algorithm, Computers in Cardiology (1998) 593-595.
  15. RP Lewis, SE Rittogers, WF Froester, and H Boudoulas, A critical review of the systolic time intervals, Circulation 56 (1977) 146-58.
  16. S Babaei and A Geranmayeh, Heart sound reproduction based on neural network classification of cardiac valve disorders using wavelet transforms of PCG signals, Comput Biol Med 39 (2009) 8-15.
  17. P Wang, Y Kim, L Ling, and C Soh, First heart sound detection for phonocardiogram segmentation, Conf Proc IEEE Eng Med Biol Soc 5 (2005) 5519-22.
  18. V Nigam and R Priemer, Accessing heart dynamics to estimate durations of heart sounds, Physiol Meas 26 (2005) 1005-1018.
  19. A Ricke, R Povinelli, and M Johnson, Automatic Segmenatation of Heart Sound Signals Using Hidden Markov Models, Computers in Cardiology 32 (2005) 953.
  20. S Messer, J Agzarian, and D Abbott, Optimal wavelet denoising for phonocardiograms, Microelectronics Journal 32 (2001) 931-941.
  21. C Ahlstrom, T Lanne, P Ask, and A Johansson, A method for accurate localization of the first heart sound and possible applications, Physiol Meas 29 (2008) 417-28.
  22. C Barabasa, M Jafari, A Robust Method for S1/S2 Heart Sounds Detection Without ECG Reference Based on Music Beat Tracking, Electronics and Telecommunications (ISETC), 2012 10th International Symposium (2012) 307-310.
  23. G Amit, K Shukha, N Gavriely, and N Intrator, Respiratory modulation of heart sound morphology, Am J Physiol Heart Circ Physiol 296 (2009) H796-805.
  24. A Haghighi-Mood and J Torry, A sub-band energy tracking algorithm for heart sound segmentation, Computers in Cardiology (1995) 501-504.
  25. J Torry, Heart sound analysis comparing wavelet and autoregressive techniques, Computers in Cardiology (2003) 657-660.
  26. I Turkoglu, A Arslan, and E Ilkay, An intelligent system for diagnosis of the heart valve diseases with wavelet packet neural networks, Comput Biol Med 33 (2003) 319-31.
  27. A Voss, A Mix, and T Hubner, Diagnosing aortic valve stenosis by parameter extraction of heart sound signals, Ann Biomed Eng 33 (2005) 1167-74.
  28. T Oskiper and R Watrous, Detection of the first heart sound using a time-delay neural network, Computers in Cardiology (2002) 537-540.
  29. A Yadollahi and Z Moussavi, A robust method for heart sounds localization using lung sounds entropy, IEEE Transactions on Biomedical Engineering 53 (2006) 497-502.
  30. T Kohama, S Nakamura, and H Hoshino, An efficient RR interval detection for ECG monitoring system, IEICE Transactions on Information and Systems E Series D 82 (1999) 1425-1432.
  31. H Baranek, H Lee, G Cloutier, and L Durand, Automatic detection of sounds and murmurs in patients with lonescu-Shiley aortic bioprostheses, Medical and Biological Engineering and Computing 27 (1989) 449-455.