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 *

230 related articles for article (PubMed ID: 35528332)

  • 1. A Machine Learning Approach for the Detection of QRS Complexes in Electrocardiogram (ECG) Using Discrete Wavelet Transform (DWT) Algorithm.
    Rizwan A; Priyanga P; Abualsauod EH; Zafrullah SN; Serbaya SH; Halifa A
    Comput Intell Neurosci; 2022; 2022():9023478. PubMed ID: 35528332
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Ischemia episode detection in ECG using kernel density estimation, support vector machine and feature selection.
    Park J; Pedrycz W; Jeon M
    Biomed Eng Online; 2012 Jun; 11():30. PubMed ID: 22703641
    [TBL] [Abstract][Full Text] [Related]  

  • 3. 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]  

  • 4. 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]  

  • 5. 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]  

  • 6. Detection of QRS complexes in electrocardiogram using support vector machine.
    Mehta SS; Lingayat NS
    J Med Eng Technol; 2008; 32(3):206-15. PubMed ID: 18432468
    [TBL] [Abstract][Full Text] [Related]  

  • 7. An Automatic R and T Peak Detection Method Based on the Combination of Hierarchical Clustering and Discrete Wavelet Transform.
    Chen H; Maharatna K
    IEEE J Biomed Health Inform; 2020 Oct; 24(10):2825-2832. PubMed ID: 32078569
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Certain investigation on hybrid neural network method for classification of ECG signal with the suitable a FIR filter.
    Jayaraman Rajendiran DK; Ganesh Babu C; Priyadharsini K; Karthi SP
    Sci Rep; 2024 Jul; 14(1):15087. PubMed ID: 38956261
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Analysis of ECG-based arrhythmia detection system using machine learning.
    Dhyani S; Kumar A; Choudhury S
    MethodsX; 2023; 10():102195. PubMed ID: 37152670
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Automated screening of arrhythmia using wavelet based machine learning techniques.
    Martis RJ; Krishnan MM; Chakraborty C; Pal S; Sarkar D; Mandana KM; Ray AK
    J Med Syst; 2012 Apr; 36(2):677-88. PubMed ID: 20703662
    [TBL] [Abstract][Full Text] [Related]  

  • 11. 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]  

  • 12. 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]  

  • 13. A Signal Processing Framework for the Detection of Abnormal Cardiac Episodes.
    Srinivasulu A; Sriraam N; Prakash VS
    Cardiovasc Eng Technol; 2023 Apr; 14(2):331-349. PubMed ID: 36750523
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Improved T-wave detection in electrocardiogram signals based non-stationary wavelet transform and QRS complex cancellation with kurtosis analysis.
    Sharma N; Sunkaria RK
    Physiol Meas; 2023 Dec; 44(12):. PubMed ID: 37944176
    [No Abstract]   [Full Text] [Related]  

  • 15. 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]  

  • 16. 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]  

  • 17. Classification of electrocardiogram signals with waveform morphological analysis and support vector machines.
    Li H; An Z; Zuo S; Zhu W; Cao L; Mu Y; Song W; Mao Q; Zhang Z; Li E; García JDP
    Med Biol Eng Comput; 2022 Jan; 60(1):109-119. PubMed ID: 34718933
    [TBL] [Abstract][Full Text] [Related]  

  • 18. 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]  

  • 19. 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]  

  • 20. 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]  

    [Next]    [New Search]
    of 12.