BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

210 related articles for article (PubMed ID: 17946547)

  • 1. Combining independent component analysis and backpropagation neural network for ECG beat classification.
    Yu SN; Chou KT
    Conf Proc IEEE Eng Med Biol Soc; 2006; 2006():3090-3. PubMed ID: 17946547
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Comparison of different wavelet subband features in the classification of ECG beats using probabilistic neural network.
    Chen YH; Yu SN
    Conf Proc IEEE Eng Med Biol Soc; 2006; 2006():1398-401. PubMed ID: 17946461
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Developing of robust and high accurate ECG beat classification by combining Gaussian mixtures and wavelets features.
    Alqudah AM; Albadarneh A; Abu-Qasmieh I; Alquran H
    Australas Phys Eng Sci Med; 2019 Mar; 42(1):149-157. PubMed ID: 30644045
    [TBL] [Abstract][Full Text] [Related]  

  • 4. 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]  

  • 5. Arrhythmia Classification of ECG Signals Using Hybrid Features.
    Anwar SM; Gul M; Majid M; Alnowami M
    Comput Math Methods Med; 2018; 2018():1380348. PubMed ID: 30538768
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Subband features based on higher order statistics for ECG beat classification.
    Chen YH; Yu SN
    Annu Int Conf IEEE Eng Med Biol Soc; 2007; 2007():1859-62. PubMed ID: 18002343
    [TBL] [Abstract][Full Text] [Related]  

  • 7. ECG beat classification by a novel hybrid neural network.
    Dokur Z; Olmez T
    Comput Methods Programs Biomed; 2001 Sep; 66(2-3):167-81. PubMed ID: 11551391
    [TBL] [Abstract][Full Text] [Related]  

  • 8. An Effective LSTM Recurrent Network to Detect Arrhythmia on Imbalanced ECG Dataset.
    Gao J; Zhang H; Lu P; Wang Z
    J Healthc Eng; 2019; 2019():6320651. PubMed ID: 31737240
    [TBL] [Abstract][Full Text] [Related]  

  • 9. 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]  

  • 10. 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]  

  • 11. Bidirectional Recurrent Neural Network And Convolutional Neural Network (BiRCNN) For ECG Beat Classification.
    Xie P; Wang G; Zhang C; Chen M; Yang H; Lv T; Sang Z; Zhang P
    Annu Int Conf IEEE Eng Med Biol Soc; 2018 Jul; 2018():2555-2558. PubMed ID: 30440929
    [TBL] [Abstract][Full Text] [Related]  

  • 12. ECG beat classification using empirical mode decomposition and mixture of features.
    Sahoo S; Mohanty M; Behera S; Sabut SK
    J Med Eng Technol; 2017 Nov; 41(8):652-661. PubMed ID: 29111840
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Arrhythmia Classification Based on Multi-Domain Feature Extraction for an ECG Recognition System.
    Li H; Yuan D; Wang Y; Cui D; Cao L
    Sensors (Basel); 2016 Oct; 16(10):. PubMed ID: 27775596
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Patient-specific ECG beat classification technique.
    Das MK; Ari S
    Healthc Technol Lett; 2014 Sep; 1(3):98-103. PubMed ID: 26609386
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Arrhythmia recognition and classification using combined linear and nonlinear features of ECG signals.
    Elhaj FA; Salim N; Harris AR; Swee TT; Ahmed T
    Comput Methods Programs Biomed; 2016 Apr; 127():52-63. PubMed ID: 27000289
    [TBL] [Abstract][Full Text] [Related]  

  • 16. 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]  

  • 17. Electrocardiogram Classification Based on Faster Regions with Convolutional Neural Network.
    Ji Y; Zhang S; Xiao W
    Sensors (Basel); 2019 Jun; 19(11):. PubMed ID: 31195603
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Deep Learning Based Patient-Specific Classification of Arrhythmia on ECG signal.
    Zhao W; Hu J; Jia D; Wang H; Li Z; Yan C; You T
    Annu Int Conf IEEE Eng Med Biol Soc; 2019 Jul; 2019():1500-1503. PubMed ID: 31946178
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Combining Low-dimensional Wavelet Features and Support Vector Machine for Arrhythmia Beat Classification.
    Qin Q; Li J; Zhang L; Yue Y; Liu C
    Sci Rep; 2017 Jul; 7(1):6067. PubMed ID: 28729684
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Electrocardiogram Signal Classification in the Diagnosis of Heart Disease Based on RBF Neural Network.
    Fang Y; Shi J; Huang Y; Zeng T; Ye Y; Su L; Zhu D; Huang J
    Comput Math Methods Med; 2022; 2022():9251225. PubMed ID: 35140808
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 11.