BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

295 related articles for article (PubMed ID: 19964976)

  • 21. 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. PubMed ID: 25516123
    [TBL] [Abstract][Full Text] [Related]  

  • 22. 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. PubMed ID: 19921435
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Quantitative analysis of heart sounds and systolic heart murmurs using wavelet transform and AR modeling.
    Ning J; Atanasov N; Ning T
    Annu Int Conf IEEE Eng Med Biol Soc; 2009; 2009():958-61. PubMed ID: 19963480
    [TBL] [Abstract][Full Text] [Related]  

  • 24. 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. PubMed ID: 18045582
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Automated cardiac auscultation for detection of pathologic heart murmurs.
    Thompson WR; Hayek CS; Tuchinda C; Telford JK; Lombardo JS
    Pediatr Cardiol; 2001; 22(5):373-9. PubMed ID: 11526409
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Computer-assisted detection of systolic murmurs associated with hypertrophic cardiomyopathy: a pilot study.
    Watrous RL; Bedynek J; Oskiper T; Grove DM
    Tex Heart Inst J; 2004; 31(4):368-75. PubMed ID: 15745287
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Nonlinear analysis of heart murmurs using wavelet-based higher-order spectral parameters.
    Taplidou SA; Hadjileontiadis LJ
    Conf Proc IEEE Eng Med Biol Soc; 2006; 2006():4502-5. PubMed ID: 17947091
    [TBL] [Abstract][Full Text] [Related]  

  • 28. The impact of computer-assisted auscultation on physician referrals of asymptomatic patients with heart murmurs.
    Watrous RL; Thompson WR; Ackerman SJ
    Clin Cardiol; 2008 Feb; 31(2):79-83. PubMed ID: 18257026
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Lung sound classification using cepstral-based statistical features.
    Sengupta N; Sahidullah M; Saha G
    Comput Biol Med; 2016 Aug; 75():118-29. PubMed ID: 27286184
    [TBL] [Abstract][Full Text] [Related]  

  • 30. A modular approach to computer-aided auscultation: analysis and parametric characterization of murmur acoustic qualities.
    Shen CH; Choy FK; Chen Y; Wang S
    Comput Biol Med; 2013 Jul; 43(6):798-805. PubMed ID: 23668356
    [TBL] [Abstract][Full Text] [Related]  

  • 31. 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
    [TBL] [Abstract][Full Text] [Related]  

  • 32. [Detection method of early heart valve diseases based on heart sound features].
    Sun C; Wang X; Liu C
    Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2023 Dec; 40(6):1160-1167. PubMed ID: 38151939
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Innocent murmurs and third heart sounds in Black schoolchildren.
    McLaren MJ; Lachman AS; Pocock WA; Barlow JB
    Br Heart J; 1980 Jan; 43(1):67-73. PubMed ID: 7356863
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Automatic recognition of murmurs of ventricular septal defect using convolutional recurrent neural networks with temporal attentive pooling.
    Wang JK; Chang YF; Tsai KH; Wang WC; Tsai CY; Cheng CH; Tsao Y
    Sci Rep; 2020 Dec; 10(1):21797. PubMed ID: 33311565
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Wavelet-based segmentation and feature extraction of heart sounds for intelligent PDA-based phonocardiography.
    Nazeran H
    Methods Inf Med; 2007; 46(2):135-41. PubMed ID: 17347743
    [TBL] [Abstract][Full Text] [Related]  

  • 36. 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; 41(2):157-66. PubMed ID: 17432672
    [TBL] [Abstract][Full Text] [Related]  

  • 37. A multi-spot exploration of the topological structures of the reconstructed phase-space for the detection of cardiac murmurs.
    Oliveira J; Oliveira C; Cardoso B; Sultan MS; Tavares Coimbra M
    Annu Int Conf IEEE Eng Med Biol Soc; 2015; 2015():4194-7. PubMed ID: 26737219
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Heart murmur classification with feature selection.
    Kumar D; Carvalho P; Antunes M; Paiva RP; Henriques J
    Annu Int Conf IEEE Eng Med Biol Soc; 2010; 2010():4566-9. PubMed ID: 21095796
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Towards classifying non-segmented heart sound records using instantaneous frequency based features.
    Alqudah AM
    J Med Eng Technol; 2019 Oct; 43(7):418-430. PubMed ID: 31769312
    [TBL] [Abstract][Full Text] [Related]  

  • 40. A systematic approach to the bedside differentiation of cardiac murmurs and abnormal sounds.
    Crawford MH; O'Rourke RA
    Curr Probl Cardiol; 1977 Feb; 1(11):1-42. PubMed ID: 67009
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 15.