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Journal Abstract Search

168 related items for PubMed ID: 36301698

  • 21. 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
    [Abstract] [Full Text] [Related]

  • 22. Cardiac anomaly detection considering an additive noise and convolutional distortion model of heart sound recordings.
    Azam FB, Ansari MI, Nuhash SSK, McLane I, Hasan T.
    Artif Intell Med; 2022 Nov; 133():102417. PubMed ID: 36328670
    [Abstract] [Full Text] [Related]

  • 23. Automatic segmentation for neonatal phonocardiogram.
    Gomez-Quintana S, Shelevytsky I, Shelevytska V, Popovici E, Temko A.
    Annu Int Conf IEEE Eng Med Biol Soc; 2021 Nov; 2021():135-138. PubMed ID: 34891256
    [Abstract] [Full Text] [Related]

  • 24. [Segmentation of heart sound signals based on duration hidden Markov model].
    Kui H, Pan J, Zong R, Yang H, Su W, Wang W.
    Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2020 Oct 25; 37(5):765-774. PubMed ID: 33140599
    [Abstract] [Full Text] [Related]

  • 25. Development of a Finger-Ring-Shaped Hybrid Smart Stethoscope for Automatic S1 and S2 Heart Sound Identification.
    Lee S, Wei Q, Park H, Na Y, Jeong D, Lim H.
    Sensors (Basel); 2021 Sep 20; 21(18):. PubMed ID: 34577501
    [Abstract] [Full Text] [Related]

  • 26. Automatic moment segmentation and peak detection analysis of heart sound pattern via short-time modified Hilbert transform.
    Sun S, Jiang Z, Wang H, Fang Y.
    Comput Methods Programs Biomed; 2014 May 20; 114(3):219-30. PubMed ID: 24657095
    [Abstract] [Full Text] [Related]

  • 27. Recognition of Pediatric Congenital Heart Diseases by Using Phonocardiogram Signals and Transformer-Based Neural Networks.
    Hassanuzzaman M, Hasan NA, Mamun MAA, Alkhodari M, Ahmed KI, Khandoker AH, Mostafa R.
    Annu Int Conf IEEE Eng Med Biol Soc; 2023 Jul 20; 2023():1-4. PubMed ID: 38083420
    [Abstract] [Full Text] [Related]

  • 28. A hybrid algorithm for heart sounds segmentation based on phonocardiogram.
    Behbahani S.
    J Med Eng Technol; 2019 Aug 20; 43(6):363-377. PubMed ID: 31640436
    [Abstract] [Full Text] [Related]

  • 29. Temporal-Framing Adaptive Network for Heart Sound Segmentation Without Prior Knowledge of State Duration.
    Wang X, Liu C, Li Y, Cheng X, Li J, Clifford GD.
    IEEE Trans Biomed Eng; 2021 Feb 20; 68(2):650-663. PubMed ID: 32746064
    [Abstract] [Full Text] [Related]

  • 30. [Heart sound classification based on sub-band envelope and convolution neural network].
    Wang X, Yang H, Zong R, Pan J, Wang W.
    Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2021 Oct 25; 38(5):969-978. PubMed ID: 34713665
    [Abstract] [Full Text] [Related]

  • 31. Automatic heart sound detection in pediatric patients without electrocardiogram reference via pseudo-affine Wigner-Ville distribution and Haar wavelet lifting.
    Gavrovska A, Bogdanović V, Reljin I, Reljin B.
    Comput Methods Programs Biomed; 2014 Feb 25; 113(2):515-28. PubMed ID: 24418438
    [Abstract] [Full Text] [Related]

  • 32. Classification of homomorphic segmented phonocardiogram signals using grow and learn network.
    Navin Gupta C, Palaniappan R, Swaminathan S.
    Conf Proc IEEE Eng Med Biol Soc; 2005 Feb 25; 2005():4251-4. PubMed ID: 17281173
    [Abstract] [Full Text] [Related]

  • 33. Classification of Heart Sounds Using Chaogram Transform and Deep Convolutional Neural Network Transfer Learning.
    Harimi A, Majd Y, Gharahbagh AA, Hajihashemi V, Esmaileyan Z, Machado JJM, Tavares JMRS.
    Sensors (Basel); 2022 Dec 07; 22(24):. PubMed ID: 36559937
    [Abstract] [Full Text] [Related]

  • 34. Heart sound segmentation using fractal decomposition.
    Thomas R, Ling Lieng Hsi, Soh Cheong Boon, Gunawan E.
    Annu Int Conf IEEE Eng Med Biol Soc; 2016 Aug 07; 2016():6234-6237. PubMed ID: 28269676
    [Abstract] [Full Text] [Related]

  • 35. Combining sparse coding and time-domain features for heart sound classification.
    Whitaker BM, Suresha PB, Liu C, Clifford GD, Anderson DV.
    Physiol Meas; 2017 Jul 31; 38(8):1701-1713. PubMed ID: 28562369
    [Abstract] [Full Text] [Related]

  • 36. Classifying Heart Sounds Using Images of Motifs, MFCC and Temporal Features.
    Nogueira DM, Ferreira CA, Gomes EF, Jorge AM.
    J Med Syst; 2019 May 06; 43(6):168. PubMed ID: 31056720
    [Abstract] [Full Text] [Related]

  • 37. A multi-scale and multi-domain heart sound feature-based machine learning model for ACC/AHA heart failure stage classification.
    Zheng Y, Guo X, Wang Y, Qin J, Lv F.
    Physiol Meas; 2022 Jun 28; 43(6):. PubMed ID: 35512699
    [Abstract] [Full Text] [Related]

  • 38. Heart sound classification based on improved MFCC features and convolutional recurrent neural networks.
    Deng M, Meng T, Cao J, Wang S, Zhang J, Fan H.
    Neural Netw; 2020 Oct 28; 130():22-32. PubMed ID: 32589588
    [Abstract] [Full Text] [Related]

  • 39. A Markov-Switching Model Approach to Heart Sound Segmentation and Classification.
    Noman F, Salleh SH, Ting CM, Samdin SB, Ombao H, Hussain H.
    IEEE J Biomed Health Inform; 2020 Mar 28; 24(3):705-716. PubMed ID: 31251203
    [Abstract] [Full Text] [Related]

  • 40. A hybrid method for fundamental heart sound segmentation using group-sparsity denoising and variational mode decomposition.
    Sujadevi VG, Mohan N, Sachin Kumar S, Akshay S, Soman KP.
    Biomed Eng Lett; 2019 Nov 28; 9(4):413-424. PubMed ID: 31799011
    [Abstract] [Full Text] [Related]

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