BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

299 related articles for article (PubMed ID: 31150349)

  • 21. Sparse representation-based heartbeat classification using independent component analysis.
    Huang HF; Hu GS; Zhu L
    J Med Syst; 2012 Jun; 36(3):1235-47. PubMed ID: 20839036
    [TBL] [Abstract][Full Text] [Related]  

  • 22. A cascaded classifier for multi-lead ECG based on feature fusion.
    Chen G; Hong Z; Guo Y; Pang C
    Comput Methods Programs Biomed; 2019 Sep; 178():135-143. PubMed ID: 31416542
    [TBL] [Abstract][Full Text] [Related]  

  • 23. HARDC : A novel ECG-based heartbeat classification method to detect arrhythmia using hierarchical attention based dual structured RNN with dilated CNN.
    Islam MS; Hasan KF; Sultana S; Uddin S; Lio' P; Quinn JMW; Moni MA
    Neural Netw; 2023 May; 162():271-287. PubMed ID: 36921434
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Arrhythmia identification with two-lead electrocardiograms using artificial neural networks and support vector machines for a portable ECG monitor system.
    Liu SH; Cheng DC; Lin CM
    Sensors (Basel); 2013 Jan; 13(1):813-28. PubMed ID: 23303379
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Weighted conditional random fields for supervised interpatient heartbeat classification.
    de Lannoy G; Francois D; Delbeke J; Verleysen M
    IEEE Trans Biomed Eng; 2012 Jan; 59(1):241-7. PubMed ID: 21990327
    [TBL] [Abstract][Full Text] [Related]  

  • 26. DE-PNN: Differential Evolution-Based Feature Optimization with Probabilistic Neural Network for Imbalanced Arrhythmia Classification.
    Nasim A; Kim YS
    Sensors (Basel); 2022 Jun; 22(12):. PubMed ID: 35746232
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Classification of Electrocardiography Hybrid Convolutional Neural Network-Long Short Term Memory with Fully Connected Layer.
    Ramachandran D; Kumar RS; Alkhayyat A; Malik RQ; Srinivasan P; Priya GG; Gosu Adigo A
    Comput Intell Neurosci; 2022; 2022():6348424. PubMed ID: 35860642
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Comparative study of morphological and time-frequency ECG descriptors for heartbeat classification.
    Christov I; Gómez-Herrero G; Krasteva V; Jekova I; Gotchev A; Egiazarian K
    Med Eng Phys; 2006 Nov; 28(9):876-87. PubMed ID: 16476566
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Arrhythmia Classification with ECG signals based on the Optimization-Enabled Deep Convolutional Neural Network.
    Atal DK; Singh M
    Comput Methods Programs Biomed; 2020 Nov; 196():105607. PubMed ID: 32593973
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Interpretation of Electrocardiogram Heartbeat by CNN and GRU.
    Yao G; Mao X; Li N; Xu H; Xu X; Jiao Y; Ni J
    Comput Math Methods Med; 2021; 2021():6534942. PubMed ID: 34497664
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Spectro-Temporal Feature Based Multi-Channel Convolutional Neural Network for ECG Beat Classification.
    Hao C; Wibowo S; Majmudar M; Rajput KS
    Annu Int Conf IEEE Eng Med Biol Soc; 2019 Jul; 2019():5642-5645. PubMed ID: 31947133
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Automatic classification of heartbeats using ECG morphology and heartbeat interval features.
    de Chazal P; O'Dwyer M; Reilly RB
    IEEE Trans Biomed Eng; 2004 Jul; 51(7):1196-206. PubMed ID: 15248536
    [TBL] [Abstract][Full Text] [Related]  

  • 33. A patient-adapting heartbeat classifier using ECG morphology and heartbeat interval features.
    de Chazal P; Reilly RB
    IEEE Trans Biomed Eng; 2006 Dec; 53(12 Pt 1):2535-43. PubMed ID: 17153211
    [TBL] [Abstract][Full Text] [Related]  

  • 34. A Deep Neural Network Ensemble Classifier with Focal Loss for Automatic Arrhythmia Classification.
    Wu H; Zhang S; Bao B; Li J; Zhang Y; Qiu D; Yang H
    J Healthc Eng; 2022; 2022():9370517. PubMed ID: 36118121
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Automatic diagnosis of arrhythmia with electrocardiogram using multiple instance learning: From rhythm annotation to heartbeat prediction.
    Zhang X; Wu H; Chen T; Wang G
    Artif Intell Med; 2022 Oct; 132():102379. PubMed ID: 36207075
    [TBL] [Abstract][Full Text] [Related]  

  • 36. 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]  

  • 37. Classification of electrocardiogram signals with support vector machines and particle swarm optimization.
    Melgani F; Bazi Y
    IEEE Trans Inf Technol Biomed; 2008 Sep; 12(5):667-77. PubMed ID: 18779082
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Heartbeat classification using deep residual convolutional neural network from 2-lead electrocardiogram.
    Li Z; Zhou D; Wan L; Li J; Mou W
    J Electrocardiol; 2020; 58():105-112. PubMed ID: 31812617
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Medical Decision Support System for Diagnosis of Heart Arrhythmia using DWT and Random Forests Classifier.
    Alickovic E; Subasi A
    J Med Syst; 2016 Apr; 40(4):108. PubMed ID: 26922592
    [TBL] [Abstract][Full Text] [Related]  

  • 40. A regularization method to improve adversarial robustness of neural networks for ECG signal classification.
    Ma L; Liang L
    Comput Biol Med; 2022 May; 144():105345. PubMed ID: 35240379
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 15.