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 *

147 related articles for article (PubMed ID: 28894131)

  • 1. ECG features and methods for automatic classification of ventricular premature and ischemic heartbeats: A comprehensive experimental study.
    Maršánová L; Ronzhina M; Smíšek R; Vítek M; Němcová A; Smital L; Nováková M
    Sci Rep; 2017 Sep; 7(1):11239. PubMed ID: 28894131
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 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]  

  • 3. Assessment and comparison of different methods for heartbeat classification.
    Jekova I; Bortolan G; Christov I
    Med Eng Phys; 2008 Mar; 30(2):248-57. PubMed ID: 17382573
    [TBL] [Abstract][Full Text] [Related]  

  • 4. 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]  

  • 5. A "two-step classification" machine learning method for non-invasive localization of premature ventricular contraction origins based on 12-lead ECG.
    Wang Y; Feng X; Zhong G; Yang C
    J Interv Card Electrophysiol; 2024 Apr; 67(3):457-470. PubMed ID: 37097585
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Automatic diagnosis of premature ventricular contraction based on Lyapunov exponents and LVQ neural network.
    Liu X; Du H; Wang G; Zhou S; Zhang H
    Comput Methods Programs Biomed; 2015 Oct; 122(1):47-55. PubMed ID: 26198132
    [TBL] [Abstract][Full Text] [Related]  

  • 7. 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]  

  • 8. Novel DERMA Fusion Technique for ECG Heartbeat Classification.
    Mastoi QU; Wah TY; Mohammed MA; Iqbal U; Kadry S; Majumdar A; Thinnukool O
    Life (Basel); 2022 Jun; 12(6):. PubMed ID: 35743873
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Detection of inter-patient left and right bundle branch block heartbeats in ECG using ensemble classifiers.
    Huang H; Liu J; Zhu Q; Wang R; Hu G
    Biomed Eng Online; 2014 Jun; 13():72. PubMed ID: 24903422
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Heartbeat Classification by Random Forest With a Novel Context Feature: A Segment Label.
    Zou C; Muller A; Wolfgang U; Ruckert D; Muller P; Becker M; Steger A; Martens E
    IEEE J Transl Eng Health Med; 2022; 10():1900508. PubMed ID: 36105378
    [TBL] [Abstract][Full Text] [Related]  

  • 11. A Residual-Dense-Based Convolutional Neural Network Architecture for Recognition of Cardiac Health Based on ECG Signals.
    Ahmed AES; Abbas Q; Daadaa Y; Qureshi I; Perumal G; Ibrahim MEA
    Sensors (Basel); 2023 Aug; 23(16):. PubMed ID: 37631741
    [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. 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]  

  • 14. 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]  

  • 15. Implementation of a portable device for real-time ECG signal analysis.
    Jeon T; Kim B; Jeon M; Lee BG
    Biomed Eng Online; 2014 Dec; 13():160. PubMed ID: 25491135
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Classification of ECG heartbeats using nonlinear decomposition methods and support vector machine.
    Rajesh KNVPS; Dhuli R
    Comput Biol Med; 2017 Aug; 87():271-284. PubMed ID: 28624712
    [TBL] [Abstract][Full Text] [Related]  

  • 17. A multi-stage automatic arrhythmia recognition and classification system.
    Kutlu Y; Kuntalp D
    Comput Biol Med; 2011 Jan; 41(1):37-45. PubMed ID: 21183163
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Utilizing ECG-Based Heartbeat Classification for Hypertrophic Cardiomyopathy Identification.
    Rahman QA; Tereshchenko LG; Kongkatong M; Abraham T; Abraham MR; Shatkay H
    IEEE Trans Nanobioscience; 2015 Jul; 14(5):505-12. PubMed ID: 25915962
    [TBL] [Abstract][Full Text] [Related]  

  • 19. An algorithm for sleep apnea detection from single-lead ECG using Hermite basis functions.
    Sharma H; Sharma KK
    Comput Biol Med; 2016 Oct; 77():116-24. PubMed ID: 27543782
    [TBL] [Abstract][Full Text] [Related]  

  • 20. 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]  

    [Next]    [New Search]
    of 8.