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Items: 1 to 20 of 194

1.

Classification of heart murmurs using cepstral features and support vector machines.

Vepa J.

Conf Proc IEEE Eng Med Biol Soc. 2009;2009:2539-42. doi: 10.1109/IEMBS.2009.5334810.

PMID:
19964976
2.

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. doi: 10.1016/j.cmpb.2009.01.003. Epub 2009 Mar 6.

PMID:
19269056
3.

Cardiac sound murmurs classification with autoregressive spectral analysis and multi-support vector machine technique.

Choi S, Jiang Z.

Comput Biol Med. 2010 Jan;40(1):8-20. doi: 10.1016/j.compbiomed.2009.10.003. Epub 2009 Nov 18.

PMID:
19926081
4.

A classifier based on the artificial neural network approach for cardiologic auscultation in pediatrics.

Bhatikar SR, DeGroff C, Mahajan RL.

Artif Intell Med. 2005 Mar;33(3):251-60.

PMID:
15811789
5.

Modeling of heart systolic murmurs based on multivariate matching pursuit for diagnosis of valvular disorders.

Jabbari S, Ghassemian H.

Comput Biol Med. 2011 Sep;41(9):802-11. doi: 10.1016/j.compbiomed.2011.06.016. Epub 2011 Jul 8.

PMID:
21741040
6.

Heart sound reproduction based on neural network classification of cardiac valve disorders using wavelet transforms of PCG signals.

Babaei S, Geranmayeh A.

Comput Biol Med. 2009 Jan;39(1):8-15. doi: 10.1016/j.compbiomed.2008.10.004. Epub 2008 Dec 9.

PMID:
19081085
7.

Computerized heart sounds analysis.

Debbal SM, Bereksi-Reguig F.

Comput Biol Med. 2008 Feb;38(2):263-80. Epub 2007 Nov 26.

PMID:
18037395
8.

Detection of heart murmurs using wavelet analysis and artificial neural networks.

Andrisevic N, Ejaz K, Rios-Gutierrez F, Alba-Flores R, Nordehn G, Burns S.

J Biomech Eng. 2005 Nov;127(6):899-904.

PMID:
16438225
9.
10.

A decision support system based on support vector machines for diagnosis of the heart valve diseases.

Comak E, Arslan A, Türkoğlu I.

Comput Biol Med. 2007 Jan;37(1):21-7. Epub 2006 Jan 19.

PMID:
16426598
11.

Separation of heart sounds and heart murmurs by Hilbert transform envelogram.

Atbi A, Debbal SM, Meziani F, Meziane A.

J Med Eng Technol. 2013 Aug;37(6):375-87. doi: 10.3109/03091902.2013.816379.

PMID:
23875931
12.

Selection of dynamic features based on time-frequency representations for heart murmur detection from phonocardiographic signals.

Quiceno-Manrique AF, Godino-Llorente JI, Blanco-Velasco M, Castellanos-Dominguez G.

Ann Biomed Eng. 2010 Jan;38(1):118-37. doi: 10.1007/s10439-009-9838-3. Epub 2009 Nov 17.

PMID:
19921435
13.

Analysis of phonocardiogram signals using wavelet transform.

Meziani F, Debbal SM, Atbi A.

J Med Eng Technol. 2012 Aug;36(6):283-302. doi: 10.3109/03091902.2012.684830. Epub 2012 Jun 28. Review.

PMID:
22738192
14.

A computer-aided MFCC-based HMM system for automatic auscultation.

Chauhan S, Wang P, Sing Lim C, Anantharaman V.

Comput Biol Med. 2008 Feb;38(2):221-33. Epub 2007 Nov 28.

PMID:
18045582
15.

A biomedical system based on artificial neural network and principal component analysis for diagnosis of the heart valve diseases.

Uğuz H.

J Med Syst. 2012 Feb;36(1):61-72. doi: 10.1007/s10916-010-9446-7. Epub 2010 Feb 26.

PMID:
20703748
16.

Quantitative analysis of heart sounds and systolic heart murmurs using wavelet transform and AR modeling.

Ning J, Atanasov N, Ning T.

Conf Proc IEEE Eng Med Biol Soc. 2009;2009:958-61. doi: 10.1109/IEMBS.2009.5332562.

PMID:
19963480
17.

New approach on analysis of pathologic cardiac murmurs based on WPD energy distribution.

Jiang Z, Tao T, Wang H.

J Healthc Eng. 2014;5(4):375-91. doi: 10.1260/2040-2295.5.4.375.

18.

Using voice-recognition technology to eliminate cardiac cycle segmentation in automated heart sound diagnosis.

Guion Johnson M, Tewfik A, Madhu KP, Erdman AG.

Biomed Instrum Technol. 2007 Mar-Apr;41(2):157-66.

PMID:
17432672
19.
20.

Heart murmur classification with feature selection.

Kumar D, Carvalho P, Antunes M, Paiva RP, Henriques J.

Conf Proc IEEE Eng Med Biol Soc. 2010;2010:4566-9. doi: 10.1109/IEMBS.2010.5625940.

PMID:
21095796
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