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 *

279 related articles for article (PubMed ID: 10723893)

  • 1. Combined wavelet transformation and radial basis neural networks for classifying life-threatening cardiac arrhythmias.
    al-Fahoum AS; Howitt I
    Med Biol Eng Comput; 1999 Sep; 37(5):566-73. PubMed ID: 10723893
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 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]  

  • 3. Detection of life-threatening cardiac arrhythmias using the wavelet transformation.
    Khadra L; al-Fahoum AS; al-Nashash H
    Med Biol Eng Comput; 1997 Nov; 35(6):626-32. PubMed ID: 9538538
    [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. 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]  

  • 6. 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]  

  • 7. Automated detection of shockable and non-shockable arrhythmia using novel wavelet-based ECG features.
    Sharma M; Singh S; Kumar A; San Tan R; Acharya UR
    Comput Biol Med; 2019 Dec; 115():103446. PubMed ID: 31627019
    [TBL] [Abstract][Full Text] [Related]  

  • 8. 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]  

  • 9. Robust electrocardiogram (ECG) beat classification using discrete wavelet transform.
    Minhas FU; Arif M
    Physiol Meas; 2008 May; 29(5):555-70. PubMed ID: 18427158
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Fusion of ECG and ABP signals based on wavelet transform for cardiac arrhythmias classification.
    Arvanaghi R; Daneshvar S; Seyedarabi H; Goshvarpour A
    Comput Methods Programs Biomed; 2017 Nov; 151():71-78. PubMed ID: 28947007
    [TBL] [Abstract][Full Text] [Related]  

  • 11. The application of wavelet and feature vectors to ECG signals.
    Matsuyama A; Jonkman M
    Australas Phys Eng Sci Med; 2006 Mar; 29(1):13-7. PubMed ID: 16623217
    [TBL] [Abstract][Full Text] [Related]  

  • 12. 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]  

  • 13. 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]  

  • 14. 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]  

  • 15. Robust neural-network-based classification of premature ventricular contractions using wavelet transform and timing interval features.
    Inan OT; Giovangrandi L; Kovacs GT
    IEEE Trans Biomed Eng; 2006 Dec; 53(12 Pt 1):2507-15. PubMed ID: 17153208
    [TBL] [Abstract][Full Text] [Related]  

  • 16. 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]  

  • 17. Heart rate monitoring and therapeutic devices: A wavelet transform based approach for the modeling and classification of congestive heart failure.
    Kumar A; Komaragiri R; Kumar M
    ISA Trans; 2018 Aug; 79():239-250. PubMed ID: 29801924
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Genetic algorithm for the optimization of features and neural networks in ECG signals classification.
    Li H; Yuan D; Ma X; Cui D; Cao L
    Sci Rep; 2017 Jan; 7():41011. PubMed ID: 28139677
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Classification of electrocardiogram signals using deep learning based on genetic algorithm feature extraction.
    Khezripour H; Mozaffari SP; Reshadi M; Zarrabi H
    Biomed Phys Eng Express; 2023 Jul; 9(5):. PubMed ID: 37285819
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Arrhythmia detection using deep convolutional neural network with long duration ECG signals.
    Yıldırım Ö; Pławiak P; Tan RS; Acharya UR
    Comput Biol Med; 2018 Nov; 102():411-420. PubMed ID: 30245122
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 14.