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 *

263 related articles for article (PubMed ID: 35174263)

  • 1. Deep learning-based electrocardiogram rhythm and beat features for heart abnormality classification.
    Darmawahyuni A; Nurmaini S; Rachmatullah MN; Tutuko B; Sapitri AI; Firdaus F; Fansyuri A; Predyansyah A
    PeerJ Comput Sci; 2022; 8():e825. PubMed ID: 35174263
    [TBL] [Abstract][Full Text] [Related]  

  • 2. A robust multiple heartbeats classification with weight-based loss based on convolutional neural network and bidirectional long short-term memory.
    Yang M; Liu W; Zhang H
    Front Physiol; 2022; 13():982537. PubMed ID: 36545286
    [No Abstract]   [Full Text] [Related]  

  • 3. A Deep Learning Framework for Automatic Sleep Apnea Classification Based on Empirical Mode Decomposition Derived from Single-Lead Electrocardiogram.
    Setiawan F; Lin CW
    Life (Basel); 2022 Sep; 12(10):. PubMed ID: 36294943
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Automatic ECG Classification Using Continuous Wavelet Transform and Convolutional Neural Network.
    Wang T; Lu C; Sun Y; Yang M; Liu C; Ou C
    Entropy (Basel); 2021 Jan; 23(1):. PubMed ID: 33477566
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Inter-Patient ECG Classification With Symbolic Representations and Multi-Perspective Convolutional Neural Networks.
    Niu J; Tang Y; Sun Z; Zhang W
    IEEE J Biomed Health Inform; 2020 May; 24(5):1321-1332. PubMed ID: 31545750
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Towards Automated Optimization of Residual Convolutional Neural Networks for Electrocardiogram Classification.
    Fki Z; Ammar B; Ayed MB
    Cognit Comput; 2023 Feb; ():1-11. PubMed ID: 36819737
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Short Single-Lead ECG Signal Delineation-Based Deep Learning: Implementation in Automatic Atrial Fibrillation Identification.
    Tutuko B; Rachmatullah MN; Darmawahyuni A; Nurmaini S; Tondas AE; Passarella R; Partan RU; Rifai A; Sapitri AI; Firdaus F
    Sensors (Basel); 2022 Mar; 22(6):. PubMed ID: 35336500
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Arrhythmia detection in inter-patient ECG signals using entropy rate features and RR intervals with CNN architecture.
    Berrahou N; El Alami A; Mesbah A; El Alami R; Berrahou A
    Comput Methods Biomech Biomed Engin; 2024 Jul; ():1-20. PubMed ID: 39021157
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Deep learning in the cross-time frequency domain for sleep staging from a single-lead electrocardiogram.
    Li Q; Li Q; Liu C; Shashikumar SP; Nemati S; Clifford GD
    Physiol Meas; 2018 Dec; 39(12):124005. PubMed ID: 30524025
    [TBL] [Abstract][Full Text] [Related]  

  • 10. ECG quality assessment based on hand-crafted statistics and deep-learned S-transform spectrogram features.
    Liu G; Han X; Tian L; Zhou W; Liu H
    Comput Methods Programs Biomed; 2021 Sep; 208():106269. PubMed ID: 34298474
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Explainable artificial intelligence for heart rate variability in ECG signal.
    K S; V S; E A G; K P S
    Healthc Technol Lett; 2020 Dec; 7(6):146-154. PubMed ID: 33425369
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Automatic multilabel electrocardiogram diagnosis of heart rhythm or conduction abnormalities with deep learning: a cohort study.
    Zhu H; Cheng C; Yin H; Li X; Zuo P; Ding J; Lin F; Wang J; Zhou B; Li Y; Hu S; Xiong Y; Wang B; Wan G; Yang X; Yuan Y
    Lancet Digit Health; 2020 Jul; 2(7):e348-e357. PubMed ID: 33328094
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Robustness of Deep Learning models in electrocardiogram noise detection and classification.
    Rahman S; Pal S; Yearwood J; Karmakar C
    Comput Methods Programs Biomed; 2024 Aug; 253():108249. PubMed ID: 38815528
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Beat-wise segmentation of electrocardiogram using adaptive windowing and deep neural network.
    Niroshana SMI; Kuroda S; Tanaka K; Chen W
    Sci Rep; 2023 Jul; 13(1):11039. PubMed ID: 37419922
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Multi-information fusion neural networks for arrhythmia automatic detection.
    Chen A; Wang F; Liu W; Chang S; Wang H; He J; Huang Q
    Comput Methods Programs Biomed; 2020 Sep; 193():105479. PubMed ID: 32388066
    [TBL] [Abstract][Full Text] [Related]  

  • 16. A Hybrid Deep Learning Approach for ECG-Based Arrhythmia Classification.
    Madan P; Singh V; Singh DP; Diwakar M; Pant B; Kishor A
    Bioengineering (Basel); 2022 Apr; 9(4):. PubMed ID: 35447712
    [TBL] [Abstract][Full Text] [Related]  

  • 17. CEFEs: A CNN Explainable Framework for ECG Signals.
    Maweu BM; Dakshit S; Shamsuddin R; Prabhakaran B
    Artif Intell Med; 2021 May; 115():102059. PubMed ID: 34001319
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Learning Explainable Time-Morphology Patterns for Automatic Arrhythmia Classification from Short Single-Lead ECGs.
    Lee H; Shin M
    Sensors (Basel); 2021 Jun; 21(13):. PubMed ID: 34202805
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Automated ECG classification using a non-local convolutional block attention module.
    Wang J; Qiao X; Liu C; Wang X; Liu Y; Yao L; Zhang H
    Comput Methods Programs Biomed; 2021 May; 203():106006. PubMed ID: 33735660
    [TBL] [Abstract][Full Text] [Related]  

  • 20. A novel proposed CNN-SVM architecture for ECG scalograms classification.
    Ozaltin O; Yeniay O
    Soft comput; 2023; 27(8):4639-4658. PubMed ID: 36536664
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 14.