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 *

408 related articles for article (PubMed ID: 26987295)

  • 41. 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]  

  • 42. Assessment of Electrocardiogram Rhythms by GoogLeNet Deep Neural Network Architecture.
    Kim JH; Seo SY; Song CG; Kim KS
    J Healthc Eng; 2019; 2019():2826901. PubMed ID: 31183029
    [TBL] [Abstract][Full Text] [Related]  

  • 43. [An algorithm for atrial premature beat classification with abnormal ECG rhythm analysis].
    Tang Z; Chen H
    Zhongguo Yi Liao Qi Xie Za Zhi; 2008 Sep; 32(5):313-5, 340. PubMed ID: 19119646
    [TBL] [Abstract][Full Text] [Related]  

  • 44. A fuzzy clustering neural network architecture for classification of ECG arrhythmias.
    Ozbay Y; Ceylan R; Karlik B
    Comput Biol Med; 2006 Apr; 36(4):376-88. PubMed ID: 15878480
    [TBL] [Abstract][Full Text] [Related]  

  • 45. A topological approach to delineation and arrhythmic beats detection in unprocessed long-term ECG signals.
    Faganeli Pucer J; Kukar M
    Comput Methods Programs Biomed; 2018 Oct; 164():159-168. PubMed ID: 30195424
    [TBL] [Abstract][Full Text] [Related]  

  • 46. Improved ECG signal analysis using wavelet and feature extraction.
    Matsuyama A; Jonkman M; de Boer F
    Methods Inf Med; 2007; 46(2):227-30. PubMed ID: 17347761
    [TBL] [Abstract][Full Text] [Related]  

  • 47. Automated Method for Discrimination of Arrhythmias Using Time, Frequency, and Nonlinear Features of Electrocardiogram Signals.
    Hajeb-Mohammadalipour S; Ahmadi M; Shahghadami R; Chon KH
    Sensors (Basel); 2018 Jun; 18(7):. PubMed ID: 29966276
    [TBL] [Abstract][Full Text] [Related]  

  • 48. Towards End-to-End ECG Classification With Raw Signal Extraction and Deep Neural Networks.
    Xu SS; Mak MW; Cheung CC
    IEEE J Biomed Health Inform; 2019 Jul; 23(4):1574-1584. PubMed ID: 30235153
    [TBL] [Abstract][Full Text] [Related]  

  • 49. 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]  

  • 50. Cascade Classification with Adaptive Feature Extraction for Arrhythmia Detection.
    Park J; Kang M; Gao J; Kim Y; Kang K
    J Med Syst; 2017 Jan; 41(1):11. PubMed ID: 27889872
    [TBL] [Abstract][Full Text] [Related]  

  • 51. Automated recognition of cardiac arrhythmias using sparse decomposition over composite dictionary.
    Raj S; Ray KC
    Comput Methods Programs Biomed; 2018 Oct; 165():175-186. PubMed ID: 30337072
    [TBL] [Abstract][Full Text] [Related]  

  • 52. Robust algorithm for arrhythmia classification in ECG using extreme learning machine.
    Kim J; Shin HS; Shin K; Lee M
    Biomed Eng Online; 2009 Oct; 8():31. PubMed ID: 19863819
    [TBL] [Abstract][Full Text] [Related]  

  • 53. 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]  

  • 54. Classification enhancible grey relational analysis for cardiac arrhythmias discrimination.
    Lin CH
    Med Biol Eng Comput; 2006 Apr; 44(4):311-20. PubMed ID: 16937172
    [TBL] [Abstract][Full Text] [Related]  

  • 55. Performance Evaluation of Time-Frequency Distributions for ECG Signal Analysis.
    Hussein AF; Hashim SJ; Aziz AFA; Rokhani FZ; Adnan WAW
    J Med Syst; 2017 Nov; 42(1):15. PubMed ID: 29188389
    [TBL] [Abstract][Full Text] [Related]  

  • 56. A human ECG identification system based on ensemble empirical mode decomposition.
    Zhao Z; Yang L; Chen D; Luo Y
    Sensors (Basel); 2013 May; 13(5):6832-64. PubMed ID: 23698274
    [TBL] [Abstract][Full Text] [Related]  

  • 57. An intelligent learning approach for improving ECG signal classification and arrhythmia analysis.
    Sangaiah AK; Arumugam M; Bian GB
    Artif Intell Med; 2020 Mar; 103():101788. PubMed ID: 32143795
    [TBL] [Abstract][Full Text] [Related]  

  • 58. A novel wavelet sequence based on deep bidirectional LSTM network model for ECG signal classification.
    Yildirim Ö
    Comput Biol Med; 2018 May; 96():189-202. PubMed ID: 29614430
    [TBL] [Abstract][Full Text] [Related]  

  • 59. High efficient system for automatic classification of the electrocardiogram beats.
    Zadeh AE; Khazaee A
    Ann Biomed Eng; 2011 Mar; 39(3):996-1011. PubMed ID: 21140292
    [TBL] [Abstract][Full Text] [Related]  

  • 60. Heartbeat classification using feature selection driven by database generalization criteria.
    Llamedo M; Martinez JP
    IEEE Trans Biomed Eng; 2011 Mar; 58(3):616-25. PubMed ID: 20729162
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 21.