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Journal Abstract Search
767 related items for PubMed ID: 19116854
1. The effectiveness of the wavelet transforms method in the heart sounds analysis. Debbal SM, Bereksi-Reguig F. J Med Eng Technol; 2009; 33(1):51-65. PubMed ID: 19116854 [Abstract] [Full Text] [Related]
2. Filtering and classification of phonocardiogram signals using wavelet transform. Debbal SM, Bereksi-Reguig F. J Med Eng Technol; 2008; 32(1):53-65. PubMed ID: 18183520 [Abstract] [Full Text] [Related]
3. Analysis of the second heart sound using continuous wavelet transform. Debbal SM, Bereksi-Reguig F. J Med Eng Technol; 2004; 28(4):151-6. PubMed ID: 15371005 [Abstract] [Full Text] [Related]
5. Automatic measure of the split in the second cardiac sound by using the wavelet transform technique. Debbal SM, Bereksi-Reguig F. Comput Biol Med; 2007 Mar; 37(3):269-76. PubMed ID: 16574092 [Abstract] [Full Text] [Related]
6. [A new method for heart sound analysis in time domain]. Hu Y, Wang H, Chen J, Jiang Z, Qiao J. Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2010 Apr; 27(2):425-8. PubMed ID: 20481332 [Abstract] [Full Text] [Related]
7. Analysis of phonocardiogram signals using wavelet transform. Meziani F, Debbal SM, Atbi A. J Med Eng Technol; 2012 Aug; 36(6):283-302. PubMed ID: 22738192 [Abstract] [Full Text] [Related]
8. [Application and comparison of continuous wavelet transform and matching pursuit method in analyzing phonocardiographic signals]. Zhang Z, Liu J, Tang Y, Wang W. Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2008 Aug; 25(4):756-61. PubMed ID: 18788274 [Abstract] [Full Text] [Related]
9. Comparison of short-time Fourier, wavelet and time-domain analyses of intracardiac sounds. Bulgrin JR, Rubal BJ, Thompson CR, Moody JM. Biomed Sci Instrum; 1993 Aug; 29():465-72. PubMed ID: 8329628 [Abstract] [Full Text] [Related]
10. Analysis and study of the variation of splitting in the second heartbeat sound of wavelet transform. Debbal SM, Bereksi-Reguig F. J Med Eng Technol; 2006 Aug; 30(5):298-305. PubMed ID: 16980284 [Abstract] [Full Text] [Related]
11. Wavelet-based segmentation and feature extraction of heart sounds for intelligent PDA-based phonocardiography. Nazeran H. Methods Inf Med; 2007 Aug; 46(2):135-41. PubMed ID: 17347743 [Abstract] [Full Text] [Related]
12. [The acquisition and analysis of heart sound signals based on DSP]. Xing S, Chen T. Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2011 Apr; 28(2):273-6. PubMed ID: 21604483 [Abstract] [Full Text] [Related]
13. Adaptive reduction of heart sounds from lung sounds using a wavelet-based filter. Hadjileontiadis LJ, Panas SM. Stud Health Technol Inform; 1997 Apr; 43 Pt B():536-40. PubMed ID: 10179723 [Abstract] [Full Text] [Related]
14. Cumulant-based trapezoidal basis selection for heart sound classification. Safara F. Med Biol Eng Comput; 2015 Nov; 53(11):1153-64. PubMed ID: 26403300 [Abstract] [Full Text] [Related]
15. Localizing heart sounds in respiratory signals using singular spectrum analysis. Ghaderi F, Mohseni HR, Sanei S. IEEE Trans Biomed Eng; 2011 Dec; 58(12):3360-7. PubMed ID: 21788177 [Abstract] [Full Text] [Related]
16. Multi-level basis selection of wavelet packet decomposition tree for heart sound classification. Safara F, Doraisamy S, Azman A, Jantan A, Abdullah Ramaiah AR. Comput Biol Med; 2013 Oct; 43(10):1407-14. PubMed ID: 24034732 [Abstract] [Full Text] [Related]
17. Support Vectors Machine-based identification of heart valve diseases using heart sounds. Maglogiannis I, Loukis E, Zafiropoulos E, Stasis A. Comput Methods Programs Biomed; 2009 Jul; 95(1):47-61. PubMed ID: 19269056 [Abstract] [Full Text] [Related]
18. A decision tree--based method for the differential diagnosis of Aortic Stenosis from Mitral Regurgitation using heart sounds. Pavlopoulos SA, Stasis AC, Loukis EN. Biomed Eng Online; 2004 Jun 29; 3(1):21. PubMed ID: 15225347 [Abstract] [Full Text] [Related]
19. Measurement and classification of heart and lung sounds by using LabView for educational use. Altrabsheh B. J Med Eng Technol; 2010 Jun 29; 34(5-6):340-9. PubMed ID: 20518641 [Abstract] [Full Text] [Related]
20. Analysis of the pathological severity degree of aortic stenosis (AS) and mitral stenosis (MS) using the discrete wavelet transform (DWT). Meziani F, Debbal SM, Atbi A. J Med Eng Technol; 2013 Jan 29; 37(1):61-74. PubMed ID: 23173773 [Abstract] [Full Text] [Related] Page: [Next] [New Search]