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.


Pubmed for Handhelds

PUBMED FOR HANDHELDS

Journal Abstract Search

146 related items for PubMed ID: 38018148

  • 1. Hybrid Sneaky algorithm-based deep neural networks for Heart sound classification using phonocardiogram.
    Shastri RK, Shastri AR, Nitnaware PP, Padulkar DM.
    Network; 2024 Feb; 35(1):1-26. PubMed ID: 38018148
    [Abstract] [Full Text] [Related]

  • 2. Automated heart sound classification system from unsegmented phonocardiogram (PCG) using deep neural network.
    Krishnan PT, Balasubramanian P, Umapathy S.
    Phys Eng Sci Med; 2020 Jun; 43(2):505-515. PubMed ID: 32524434
    [Abstract] [Full Text] [Related]

  • 3. 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]

  • 4. Heart sound classification based on equal scale frequency cepstral coefficients and deep learning.
    Chen X, Li H, Huang Y, Han W, Yu X, Zhang P, Tao R.
    Biomed Tech (Berl); 2023 Jun 27; 68(3):285-295. PubMed ID: 36780471
    [Abstract] [Full Text] [Related]

  • 5.
    ; . PubMed ID:
    [No Abstract] [Full Text] [Related]

  • 6. [A heart sound classification method based on joint decision of extreme gradient boosting and deep neural network].
    Wang Z, Jin Y, Zhao L, Liu C.
    Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2021 Feb 25; 38(1):10-20. PubMed ID: 33899423
    [Abstract] [Full Text] [Related]

  • 7. Diagnosis of cardiac abnormalities based on phonocardiogram using a novel fuzzy matching feature extraction method.
    Yang W, Xu J, Xiang J, Yan Z, Zhou H, Wen B, Kong H, Zhu R, Li W.
    BMC Med Inform Decis Mak; 2022 Sep 02; 22(1):230. PubMed ID: 36056352
    [Abstract] [Full Text] [Related]

  • 8. [Heart sound classification algorithm based on time-frequency combination feature and adaptive fuzzy neural network].
    Wang Q, Yang H, Pan J, Tian Y, Guo T, Wang W.
    Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2023 Dec 25; 40(6):1152-1159. PubMed ID: 38151938
    [Abstract] [Full Text] [Related]

  • 9. 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 25; 130():22-32. PubMed ID: 32589588
    [Abstract] [Full Text] [Related]

  • 10. Automatic heart sound classification from segmented/unsegmented phonocardiogram signals using time and frequency features.
    Khan FA, Abid A, Khan MS.
    Physiol Meas; 2020 Jun 03; 41(5):055006. PubMed ID: 32259811
    [Abstract] [Full Text] [Related]

  • 11. Phonocardiogram Signal Processing for Automatic Diagnosis of Congenital Heart Disorders through Fusion of Temporal and Cepstral Features.
    Aziz S, Khan MU, Alhaisoni M, Akram T, Altaf M.
    Sensors (Basel); 2020 Jul 06; 20(13):. PubMed ID: 32640710
    [Abstract] [Full Text] [Related]

  • 12. HBNET: A blended ensemble model for the detection of cardiovascular anomalies using phonocardiogram.
    Netto AN, Abraham L, Philip S.
    Technol Health Care; 2024 Jul 06; 32(3):1925-1945. PubMed ID: 38393859
    [Abstract] [Full Text] [Related]

  • 13. [Heart sound classification based on improved mel frequency cepstrum coefficient and integrated decision network method].
    Wang Y, Sun J, Yang H, Guo T, Pan J, Wang W.
    Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2022 Dec 25; 39(6):1140-1148. PubMed ID: 36575083
    [Abstract] [Full Text] [Related]

  • 14. Heart Sound Classification based on Residual Shrinkage Networks.
    Zhu L, Qian K, Wang Z, Hu B, Yamamoto Y, Schuller BW.
    Annu Int Conf IEEE Eng Med Biol Soc; 2022 Jul 25; 2022():4469-4472. PubMed ID: 36085633
    [Abstract] [Full Text] [Related]

  • 15. Comparative study of respiratory sounds classification methods based on cepstral analysis and artificial neural networks.
    Semmad A, Bahoura M.
    Comput Biol Med; 2024 Mar 25; 171():108190. PubMed ID: 38387384
    [Abstract] [Full Text] [Related]

  • 16. Design of ear-contactless stethoscope and improvement in the performance of deep learning based on CNN to classify the heart sound.
    Roy TS, Roy JK, Mandal N.
    Med Biol Eng Comput; 2023 Sep 25; 61(9):2417-2439. PubMed ID: 37103637
    [Abstract] [Full Text] [Related]

  • 17. S1 and S2 Heart Sound Recognition Using Deep Neural Networks.
    Chen TE, Yang SI, Ho LT, Tsai KH, Chen YH, Chang YF, Lai YH, Wang SS, Tsao Y, Wu CC.
    IEEE Trans Biomed Eng; 2017 Feb 25; 64(2):372-380. PubMed ID: 28113191
    [Abstract] [Full Text] [Related]

  • 18. A study of time-frequency features for CNN-based automatic heart sound classification for pathology detection.
    Bozkurt B, Germanakis I, Stylianou Y.
    Comput Biol Med; 2018 Sep 01; 100():132-143. PubMed ID: 29990646
    [Abstract] [Full Text] [Related]

  • 19. [Classification of heart sound signals in congenital heart disease based on convolutional neural network].
    Tan Z, Wang W, Zong R, Pan J, Yang H.
    Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2019 Oct 25; 36(5):728-736. PubMed ID: 31631620
    [Abstract] [Full Text] [Related]

  • 20. 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]

    Page: [Next] [New Search]
    of 8.