BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

492 related articles for article (PubMed ID: 27000289)

  • 1. 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]  

  • 2. Application of higher order cumulant features for cardiac health diagnosis using ECG signals.
    Martis RJ; Acharya UR; Lim CM; Mandana KM; Ray AK; Chakraborty C
    Int J Neural Syst; 2013 Aug; 23(4):1350014. PubMed ID: 23746287
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Wavelet Scattering Transform for ECG Beat Classification.
    Liu Z; Yao G; Zhang Q; Zhang J; Zeng X
    Comput Math Methods Med; 2020; 2020():3215681. PubMed ID: 33133225
    [TBL] [Abstract][Full Text] [Related]  

  • 4. 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]  

  • 5. Cardiac arrhythmia beat classification using DOST and PSO tuned SVM.
    Raj S; Ray KC; Shankar O
    Comput Methods Programs Biomed; 2016 Nov; 136():163-77. PubMed ID: 27686713
    [TBL] [Abstract][Full Text] [Related]  

  • 6. 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]  

  • 7. Classification of the electrocardiogram signals using supervised classifiers and efficient features.
    Zadeh AE; Khazaee A; Ranaee V
    Comput Methods Programs Biomed; 2010 Aug; 99(2):179-94. PubMed ID: 20510478
    [TBL] [Abstract][Full Text] [Related]  

  • 8. An Improved Convolutional Neural Network Based Approach for Automated Heartbeat Classification.
    Wang H; Shi H; Chen X; Zhao L; Huang Y; Liu C
    J Med Syst; 2019 Dec; 44(2):35. PubMed ID: 31853698
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Support vector machine-based arrhythmia classification using reduced features of heart rate variability signal.
    Asl BM; Setarehdan SK; Mohebbi M
    Artif Intell Med; 2008 Sep; 44(1):51-64. PubMed ID: 18585905
    [TBL] [Abstract][Full Text] [Related]  

  • 10. 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]  

  • 11. 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]  

  • 12. A deep convolutional neural network model to classify heartbeats.
    Acharya UR; Oh SL; Hagiwara Y; Tan JH; Adam M; Gertych A; Tan RS
    Comput Biol Med; 2017 Oct; 89():389-396. PubMed ID: 28869899
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Arrhythmia Recognition and Classification Using ECG Morphology and Segment Feature Analysis.
    Zhu W; Chen X; Wang Y; Wang L
    IEEE/ACM Trans Comput Biol Bioinform; 2019; 16(1):131-138. PubMed ID: 29994263
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Study of features based on nonlinear dynamical modeling in ECG arrhythmia detection and classification.
    Owis MI; Abou-Zied AH; Youssef AB; Kadah YM
    IEEE Trans Biomed Eng; 2002 Jul; 49(7):733-6. PubMed ID: 12083309
    [TBL] [Abstract][Full Text] [Related]  

  • 15. ECG feature extraction based on the bandwidth properties of variational mode decomposition.
    Mert A
    Physiol Meas; 2016 Apr; 37(4):530-43. PubMed ID: 26987295
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Feature extraction for ECG heartbeats using higher order statistics of WPD coefficients.
    Kutlu Y; Kuntalp D
    Comput Methods Programs Biomed; 2012 Mar; 105(3):257-67. PubMed ID: 22055998
    [TBL] [Abstract][Full Text] [Related]  

  • 17. A robust method for diagnosis of morphological arrhythmias based on Hermitian model of higher-order statistics.
    Karimifard S; Ahmadian A
    Biomed Eng Online; 2011 Mar; 10():22. PubMed ID: 21443798
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Automated characterization of cardiovascular diseases using relative wavelet nonlinear features extracted from ECG signals.
    Adam M; Oh SL; Sudarshan VK; Koh JE; Hagiwara Y; Tan JH; Tan RS; Acharya UR
    Comput Methods Programs Biomed; 2018 Jul; 161():133-143. PubMed ID: 29852956
    [TBL] [Abstract][Full Text] [Related]  

  • 19. 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]  

  • 20. Automatic recognition of arrhythmia based on principal component analysis network and linear support vector machine.
    Yang W; Si Y; Wang D; Guo B
    Comput Biol Med; 2018 Oct; 101():22-32. PubMed ID: 30098452
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 25.