BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

261 related articles for article (PubMed ID: 32259811)

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

  • 2. 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; 20(13):. PubMed ID: 32640710
    [TBL] [Abstract][Full Text] [Related]  

  • 3. 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
    [TBL] [Abstract][Full Text] [Related]  

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

  • 5. An efficient and robust Phonocardiography (PCG)-based Valvular Heart Diseases (VHD) detection framework using Vision Transformer (ViT).
    Jamil S; Roy AM
    Comput Biol Med; 2023 May; 158():106734. PubMed ID: 36989745
    [TBL] [Abstract][Full Text] [Related]  

  • 6. 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]  

  • 7. 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; 43(6):. PubMed ID: 35512699
    [No Abstract]   [Full Text] [Related]  

  • 8. Machine Learning Algorithms for Processing and Classifying Unsegmented Phonocardiographic Signals: An Efficient Edge Computing Solution Suitable for Wearable Devices.
    De Fazio R; Spongano L; De Vittorio M; Patrono L; Visconti P
    Sensors (Basel); 2024 Jun; 24(12):. PubMed ID: 38931636
    [TBL] [Abstract][Full Text] [Related]  

  • 9. An efficient heart murmur recognition and cardiovascular disorders classification system.
    Ahmad MS; Mir J; Ullah MO; Shahid MLUR; Syed MA
    Australas Phys Eng Sci Med; 2019 Sep; 42(3):733-743. PubMed ID: 31313129
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Heart Sound Segmentation Using Bidirectional LSTMs With Attention.
    Fernando T; Ghaemmaghami H; Denman S; Sridharan S; Hussain N; Fookes C
    IEEE J Biomed Health Inform; 2020 Jun; 24(6):1601-1609. PubMed ID: 31670683
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Ensemble methods with outliers for phonocardiogram classification.
    Nabhan Homsi M; Warrick P
    Physiol Meas; 2017 Jul; 38(8):1631-1644. PubMed ID: 28613208
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Phonocardiogram signal analysis for classification of Coronary Artery Diseases using MFCC and 1D adaptive local ternary patterns.
    Iqtidar K; Qamar U; Aziz S; Khan MU
    Comput Biol Med; 2021 Nov; 138():104926. PubMed ID: 34656868
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Analysis of PCG signals using quality assessment and homomorphic filters for localization and classification of heart sounds.
    Mubarak QU; Akram MU; Shaukat A; Hussain F; Khawaja SG; Butt WH
    Comput Methods Programs Biomed; 2018 Oct; 164():143-157. PubMed ID: 30195422
    [TBL] [Abstract][Full Text] [Related]  

  • 14. A novel heart sound segmentation algorithm via multi-feature input and neural network with attention mechanism.
    Guo Y; Yang H; Guo T; Pan J; Wang W
    Biomed Phys Eng Express; 2022 Dec; 9(1):. PubMed ID: 36301698
    [No Abstract]   [Full Text] [Related]  

  • 15. Heart sound classification from unsegmented phonocardiograms.
    Langley P; Murray A
    Physiol Meas; 2017 Jul; 38(8):1658-1670. PubMed ID: 28489019
    [TBL] [Abstract][Full Text] [Related]  

  • 16. [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; 38(1):10-20. PubMed ID: 33899423
    [TBL] [Abstract][Full Text] [Related]  

  • 17. 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; 22(1):230. PubMed ID: 36056352
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Detection of pathological heart sounds.
    Abdollahpur M; Ghaffari A; Ghiasi S; Mollakazemi MJ
    Physiol Meas; 2017 Jul; 38(8):1616-1630. PubMed ID: 28594641
    [TBL] [Abstract][Full Text] [Related]  

  • 19. [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; 39(6):1140-1148. PubMed ID: 36575083
    [TBL] [Abstract][Full Text] [Related]  

  • 20. 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
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 14.