These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

233 related articles for article (PubMed ID: 34932490)

  • 21. 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]  

  • 22. Effectiveness of teaching cardiac auscultation to residents during an elective pediatric cardiology rotation.
    Mattioli LF; Belmont JM; Davis AM
    Pediatr Cardiol; 2008 Nov; 29(6):1095-100. PubMed ID: 18648718
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Interrater and intrarater agreement on heart murmurs.
    Andersen S; Davidsen AH; Schirmer H; Melbye H; Spigt M; Aviles-Solis JC
    Scand J Prim Health Care; 2022 Dec; 40(4):491-497. PubMed ID: 36598178
    [TBL] [Abstract][Full Text] [Related]  

  • 24. StethAid: A Digital Auscultation Platform for Pediatrics.
    Arjoune Y; Nguyen TN; Salvador T; Telluri A; Schroeder JC; Geggel RL; May JW; Pillai DK; Teach SJ; Patel SJ; Doroshow RW; Shekhar R
    Sensors (Basel); 2023 Jun; 23(12):. PubMed ID: 37420914
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Comparison of two educational interventions on pediatric resident auscultation skills.
    Mahnke CB; Nowalk A; Hofkosh D; Zuberbuhler JR; Law YM
    Pediatrics; 2004 May; 113(5):1331-5. PubMed ID: 15121949
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Deep Learning Algorithms to Detect Murmurs Associated With Structural Heart Disease.
    Prince J; Maidens J; Kieu S; Currie C; Barbosa D; Hitchcock C; Saltman A; Norozi K; Wiesner P; Slamon N; Del Grippo E; Padmanabhan D; Subramanian A; Manjunath C; Chorba J; Venkatraman S
    J Am Heart Assoc; 2023 Oct; 12(20):e030377. PubMed ID: 37830333
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Initial Field Test of a Cloud-Based Cardiac Auscultation System to Determine Murmur Etiology in Rural China.
    Pyles L; Hemmati P; Pan J; Yu X; Liu K; Wang J; Tsakistos A; Zheleva B; Shao W; Ni Q
    Pediatr Cardiol; 2017 Apr; 38(4):656-662. PubMed ID: 28150025
    [TBL] [Abstract][Full Text] [Related]  

  • 28. 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]  

  • 29. Skills of primary healthcare physicians in paediatric cardiac auscultation.
    Germanakis I; Petridou ET; Varlamis G; Matsoukis IL; Papadopoulou-Legbelou K; Kalmanti M
    Acta Paediatr; 2013 Feb; 102(2):e74-8. PubMed ID: 23082851
    [TBL] [Abstract][Full Text] [Related]  

  • 30. 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. PubMed ID: 16438225
    [TBL] [Abstract][Full Text] [Related]  

  • 31. 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]  

  • 32. Detection and identification of first and second heart sounds using empirical mode decomposition.
    Bajelani K; Navidbakhsh M; Behnam H; Doyle JD; Hassani K
    Proc Inst Mech Eng H; 2013 Sep; 227(9):976-87. PubMed ID: 23765108
    [TBL] [Abstract][Full Text] [Related]  

  • 33. 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]  

  • 34. 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; 3(1):21. PubMed ID: 15225347
    [TBL] [Abstract][Full Text] [Related]  

  • 35. 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. PubMed ID: 15811789
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Extraction and assessment of diagnosis-relevant features for heart murmur classification.
    Levin AD; Ragazzi A; Szot SL; Ning T
    Methods; 2022 Jun; 202():110-116. PubMed ID: 34245871
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Should functional cardiac murmurs be diagnosed by auscultation or by Doppler echocardiography?
    Bloch A; Crittin J; Jaussi A
    Clin Cardiol; 2001 Dec; 24(12):767-9. PubMed ID: 11768739
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Feature extraction for systolic heart murmur classification.
    Ahlstrom C; Hult P; Rask P; Karlsson JE; Nylander E; Dahlström U; Ask P
    Ann Biomed Eng; 2006 Nov; 34(11):1666-77. PubMed ID: 17019618
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Improvement of cardiac auscultation skills in pediatric residents with training.
    Dhuper S; Vashist S; Shah N; Sokal M
    Clin Pediatr (Phila); 2007 Apr; 46(3):236-40. PubMed ID: 17416879
    [TBL] [Abstract][Full Text] [Related]  

  • 40. 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]  

    [Previous]   [Next]    [New Search]
    of 12.