Detection of S1 and S2 Heart Sounds by High Frequency Signatures
Authors
Abstract
A new unsupervised and low complexity method for detectionof S1 and S2 components of heart sound without an
ECG reference is described. The most reliable and invariant
feature applied in current state-of-the-art unsupervised
heart sound segmentation algorithms is implicitly or explicitly
the S1-S2 interval regularity. However, this criterion
is inherently prone to noise influence and does not appropriately
tackle the heart sound segmentation of arrhythmic
hearts. A solution based upon a high frequency marker,
which is extracted from heart sound using the fast wavelet
decomposition, is proposed in order to estimate instantaneous
heart rate. This marker is physiologically motivated
by the accentuated pressure differences found across heart
valves, both in native and prosthetic valves, which leads
to distinct high frequency signatures of the valve closing
sounds. The algorithm has been tested with heart sound
samples collected from patients with mechanical and bioprosthetic
heart valve implants in different locations, as
well as with patients with native valves. This approach
exhibits high sensitivity and specificity without being dependent
on the valve type nor their implant position. Furthermore,
it exhibits invariance with respect to arrhythmia
and sound recording location.
Keywords
Heart Sound Segmentation,Subject
Biomedical EngineeringRelated Project
IST FP6 MyHeartConference
The 28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, August 2006PDF File
Cited by
Year 2013 : 9 citations
14. Moukadem, Ali, et al. "A robust heart sounds segmentation module based on S-transform." Biomedical Signal Processing and Control (2013).
Patidar, Shivnarayan, and Ram Bilas Pachori. "Segmentation of cardiac sound signals by removing murmurs using constrained tunable-Q wavelet transform." Biomedical Signal Processing and Control 8.6 (2013): 559-567.
Altunkaya, Sabri, et al. "Comparison of first and second heart sounds after mechanical heart valve replacement." Computer Methods in Biomechanics and Biomedical Engineering 16.4 (2013): 368-380.
Valdés-Pérez, F. E., A. Serrano-Romero, and C. R. Vázquez-Seisdedos. "Método de la Plantilla Gaussiana para Extraer Parámetros del Primer Sonido Cardíaco: Evaluación de su Exactitud y Robustez al Ruido." V Latin American Congress on Biomedical Engineering CLAIB 2011 May 16-21, 2011, Habana, Cuba. Springer Berlin Heidelberg, 2013.
Papadaniil, C., and L. Hadjileontiadis. "Efficient Heart Sound Segmentation and Extraction Using Ensemble Empirical Mode Decomposition and Kurtosis Features." (2013): 1-1.
Verma, Nirmla, Amit Kumar Biswas, and R. M. Potdar. "Phonocardiogram Signal Segmentation and Classification Using Variance Fractal Dimension." International Journal of Advanced Research in Computer Science 4.3 (2013).
Ali Moukadema, Alain Dieterlena, Nicolas Hueberb, Christian Brandtc, "Ali Moukadema,c,?, Alain Dieterlena, Nicolas Hueberb, Christian Brandtc", Biomedical Signal Processing and Control, pages 9.
Daoud Boutana, Braham Barkat, and Messaoud Benidir, "Segmentation of Pathological Heart Sound Signal Using Empirical Mode Decomposition", International Journal of Computer and Electrical Engineering, Vol. 5, No. 1, February 2013
F. E. Valdés-Pérez, A. Serrano-Romero, C. R. Vázquez-Seisdedos "Método de la Plantilla Gaussiana para Extraer Parámetros del Primer Sonido Cardíaco: Evaluación de su Exactitud y Robustez al Ruido"
V Latin American Congress on Biomedical Engineering CLAIB 2011 May 16-21, 2011, Habana, Cuba
IFMBE Proceedings Volume 33, 2013, pp 1078-1081
Year 2012 : 11 citations
Hong Tanga, , , Ting Lia, b, Tianshuang Qiua, Yongwan Parkc, Segmentation of heart sounds based on dynamic clustering, Biomedical Signal Processing and Control, Volume 7, Issue 5, September 2012, Pages 509–516
Patidar, Shivnarayan, and Ram Bilas Pachori. "A continuous wavelet transform based method for detecting heart valve disorders using phonocardiograph signals." Convergence and Hybrid Information Technology. Springer Berlin Heidelberg, 2012. 513-520.
Neogi, Biswarup, et al. "Simulation techniques with a prosthetic approach towards biologically active artificial internal organs: an overview." International Journal of Biomedical Engineering and Technology 9.3 (2012): 213-229.
Cesarelli, Mario, et al. "Simulation of foetal phonocardiographic recordings for testing of FHR extraction algorithms." Computer methods and programs in biomedicine 107.3 (2012): 513-523.
Boutana, Daoud, Braham Barkat, and Messaoud Benidir. "Segmentation of Pathological Heart Sound Signal Using Empirical Mode Decomposition." Proceedings of the 4th International Conference on Signal Processing Systems. 2012.
Kouras, Nayad, Daoud Boutana, and Messaoud Benidir. "Wavelet based segmentation and time-frequency caracterisation of some abnormal heart sound signals." Microelectronics (ICM), 2012 24th International Conference on. IEEE, 2012.
Wu Yuchun "Progress heart sound signal identification methods." Beijing Biomedical Engineering 31.003 (2012): 325-330.
Hong Tanga Ting Lia, Tianshuang Qiu, Yongwan Park, "Segmentation of heart sounds based on dynamic clustering", J. of Biomedical Signal Processing and Control, 7(5), September 2012, Pages 509–516
Biswarup Neogi, Soumya Ghosal, Soumyajit Mukherjee, Achintya Das, D.N. Tibarewla, "Simulation techniques with a prosthetic approach towards biologically active artificial internal organs: an overview", International Journal of Biomedical Engineering and Technology, 9 (3), 2012, pp. 213-229.
WU Yuchun, "Heart sound signal recognition research methods progress", J. of Beijing Biomedical Engg, 31(3). 2012
Sabri Altunkayaa*, Sad?k Karab, Niyazi Görmü?c & Saadetdin Herdema , "Comparison of first and second heart sounds after mechanical heart valve replacement", Computer Methods in Biomechanics and Biomedical Engineering, 1 - 13.
Year 2011 : 3 citations
Sumeth Yuenyong, Akinori Nishihara, Waree Kongprawechnon, Kanokvate Tungpimolrut, A framework for automatic heart sound analysis without segmentation, BioMedical Engineering OnLine 2011, 10:13
Hong Tang, Ting Li, Tianshuang Qiu, Yongwan Park, "Segmentation of heart sounds based on dynamic clustering", Biomedical Signal Processing and Control, In Press.
M. Cesarelli, , M. Ruffo, M. Romano, P. Bifulco, "Simulation of foetal phonocardiographic recordings for testing of FHR extraction algorithms", Computer Methods and Programs in Biomedicine, In Press.
Year 2010 : 3 citations
M. Ruffo, M. Cesarelli, M. Romano, P. Bifulco, A. Fratini, "A simulating software of fetal phonocardiographic signals", 10th IEEE International Conference on Information Technology and Applications in Biomedicine (ITAB), 2010, 1 - 4
• http://www.chacha.com/question/what-is-the-time-between-s2-n-s1-heart-sounds (consulta em 1 de Junho, 2010)
A. F. QUICENO-MANRIQUE, J. I. GODINO-LLORENTE, M. BLANCO-VELASCO,and G. CASTELLANOS-DOMINGUEZ, " Selection of Dynamic Features Based on Time–Frequency Representations for Heart Murmur Detection from Phonocardiographic Signals", Annals of Biomedical Engineering, vol. 38, No. 1, Jan 2010.
Year 2009 : 5 citations
(translated from Persian) MohammadAli Saghafi , Rasoul Amirfattahi , Mojtaba Mansouri , Mohsen Kazemi , "Automatic Segmentation of Heart Sounds (S1 & S2) Using Wavelet", Majlesi Journal of Electrical Engineering , 2009.
• K. Courtemanche, V. Millette, N. Baddour, Heart Sound Segmentation Based on Mel-Scaled Wavelet Transform, McGill University, 2009
• Di Zhang; Jiazhong He; Jianping Yao; Zhongkai Wu; Minghui Du; Spectral Analysis of Heart Sounds Produced by Disorder Mechanical Prosthetic Heart Valves, International Conference on Biomedical Engineering and Informatics, 2009. BMEI '09. 2nd, 1 – 5, 2009.
• Beritelli, F.; Spadaccini, A.; Heart sounds quality analysis for automatic cardiac biometry applications, Workshop on Information Forensics and Security, 2009. WIFS 2009. First IEEE International, 65-69, 2009.
• V Vondra, I Viscor, J Halamek, P Jurak , Design of Bioimpedance Monitor and Its Application to Atrioventricular Delay Optimization, Computers in Cardiology 2009;36:481−484, 2009.
Year 2008 : 5 citations
• P. Bangcharoensap, U. Doungsud, S. Kamolphiwong, THE DETECTION OF S1-S2 USING FAST FOURIER TRANSFORM AND SEQUENCE ALIGNMENT ALGORITHM, The 3rd International Symposium on Biomedical Engineering (ISBME 2008), pp. 139-142, 2008.
• Di Zhang, Jianping Yao, Song Yang, Minghui Du, Detection of Mechanical Prosthetic Heart Valve Dysfunction Using Spectrum Estimation and Time-Scale Techniques, 2008 IEEE Pacific-Asia Workshop on Computational Intelligence and Industrial Application, 2008.
• P. Bangcharoensap, S. Kamolphiwong, T. Kamolphiwong, M. Karnjanadecha, S. Sea-Wong and S. Cheewatanakornkul, Detection of First Heart Sound Using Sequence Alignment Algorithm, The Sixth PSU Engineering Conference, pp. 24-28, 2008.
• P. Bangcharoensap, U. Doungsud, S. Kamolphiwong , THE DETECTION OF S1-S2 USING FAST FOURIER TRANSFORM AND SEQUENCE ALIGNMENT ALGORITHM, The 3rd International Symposium on Biomedical Engineering (ISBME 2008), pp. 139-142, 2008.
• C. S. Lima and D. Barbosa, “Automatic Segmentation of the Second Cardiac Sound by Using Wavelets and Hidden Markov Models”, in Proc. EMBC, Vancouver, Canada, 2008
Year 2007 : 2 citations
Wang, Jingcan Guo, Xingming Yan, Yan Li, Lice Tan, Xin, The Design of a Heart Sound Teletransmission System, College of Bioengineering, CME 2007. IEEE/ICME International Conference on Complex Medical Engineering, Pp. 274-277, China, 2007.
Vlastimil Vondra, Josef Halamek, Ivo Viscor, Pavel Jurak and Miroslav Novak, Cardiac Output Measurement in Patients with an Implanted Pacemaker, Proceedings of the 29th Annual International, Conference of the IEEE EMBS, Cité Internationale, Lyon, France, 2007.
Year 2006 : 1 citations
• Hiroshi Sugiki, Norihiko Shiiya, Toshifumi Murashita, Keishu Yasuda, Bileaflet mechanical valve sound analysis using a continuous wavelet transform, Journal of artificial organs : the official journal of the Japanese Society for Artificial Organs. 02/2006; 9(1):42-9.