BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

432 related articles for article (PubMed ID: 29852956)

  • 1. 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]  

  • 2. A novel automated diagnostic system for classification of myocardial infarction ECG signals using an optimal biorthogonal filter bank.
    Sharma M; Tan RS; Acharya UR
    Comput Biol Med; 2018 Nov; 102():341-356. PubMed ID: 30049414
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Detection of Cardiac Abnormalities from Multilead ECG using Multiscale Phase Alternation Features.
    Tripathy RK; Dandapat S
    J Med Syst; 2016 Jun; 40(6):143. PubMed ID: 27118009
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Automated diagnosis of congestive heart failure using dual tree complex wavelet transform and statistical features extracted from 2s of ECG signals.
    Sudarshan VK; Acharya UR; Oh SL; Adam M; Tan JH; Chua CK; Chua KP; Tan RS
    Comput Biol Med; 2017 Apr; 83():48-58. PubMed ID: 28231511
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Automated interpretable detection of myocardial infarction fusing energy entropy and morphological features.
    Han C; Shi L
    Comput Methods Programs Biomed; 2019 Jul; 175():9-23. PubMed ID: 31104718
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Automated detection and localization system of myocardial infarction in single-beat ECG using Dual-Q TQWT and wavelet packet tensor decomposition.
    Liu J; Zhang C; Zhu Y; Ristaniemi T; Parviainen T; Cong F
    Comput Methods Programs Biomed; 2020 Feb; 184():105120. PubMed ID: 31627147
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Classification of myocardial infarction based on hybrid feature extraction and artificial intelligence tools by adopting tunable-Q wavelet transform (TQWT), variational mode decomposition (VMD) and neural networks.
    Zeng W; Yuan J; Yuan C; Wang Q; Liu F; Wang Y
    Artif Intell Med; 2020 Jun; 106():101848. PubMed ID: 32593387
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Discrete Wavelet Transform based ECG classification using gcForest: A deep ensemble method.
    Lin M; Hong Y; Hong S; Zhang S
    Technol Health Care; 2024; 32(S1):95-105. PubMed ID: 38759040
    [TBL] [Abstract][Full Text] [Related]  

  • 9. 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]  

  • 10. 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]  

  • 11. 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]  

  • 12. 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]  

  • 13. Automatic Detection of Obstructive Sleep Apnea Using Wavelet Transform and Entropy-Based Features From Single-Lead ECG Signal.
    Zarei A; Asl BM
    IEEE J Biomed Health Inform; 2019 May; 23(3):1011-1021. PubMed ID: 29993564
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Analysis of myocardial infarction using discrete wavelet transform.
    Jayachandran ES; Joseph K P; Acharya U R
    J Med Syst; 2010 Dec; 34(6):985-92. PubMed ID: 20703609
    [TBL] [Abstract][Full Text] [Related]  

  • 15. 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]  

  • 16. 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]  

  • 17. 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]  

  • 18. Detection of Myocardial Infarction from Multi-lead ECG using Dual-Q Tunable Q-Factor Wavelet Transform.
    Liu J; Zhang C; Ristaniemi T; Cong F
    Annu Int Conf IEEE Eng Med Biol Soc; 2019 Jul; 2019():1496-1499. PubMed ID: 31946177
    [TBL] [Abstract][Full Text] [Related]  

  • 19. A wavelet transform based feature extraction and classification of cardiac disorder.
    Sumathi S; Beaulah HL; Vanithamani R
    J Med Syst; 2014 Sep; 38(9):98. PubMed ID: 25023652
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Evaluation of cardiac signals using discrete wavelet transform with MATLAB graphical user interface.
    John AA; Subramanian AP; Jaganathan SK; Sethuraman B
    Indian Heart J; 2015; 67(6):549-51. PubMed ID: 26702684
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 22.