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 *

126 related articles for article (PubMed ID: 29994057)

  • 1. PhysOnline: An Open Source Machine Learning Pipeline for Real-Time Analysis of Streaming Physiological Waveform.
    Sutton JR; Mahajan R; Akbilgic O; Kamaleswaran R
    IEEE J Biomed Health Inform; 2019 Jan; 23(1):59-65. PubMed ID: 29994057
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Prediction of paroxysmal Atrial Fibrillation: A machine learning based approach using combined feature vector and mixture of expert classification on HRV signal.
    Ebrahimzadeh E; Kalantari M; Joulani M; Shahraki RS; Fayaz F; Ahmadi F
    Comput Methods Programs Biomed; 2018 Oct; 165():53-67. PubMed ID: 30337081
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Real-Time Heart Arrhythmia Detection Using Apache Spark Structured Streaming.
    Ilbeigipour S; Albadvi A; Akhondzadeh Noughabi E
    J Healthc Eng; 2021; 2021():6624829. PubMed ID: 33968352
    [TBL] [Abstract][Full Text] [Related]  

  • 4. AF detection from ECG recordings using feature selection, sparse coding, and ensemble learning.
    Rizwan M; Whitaker BM; Anderson DV
    Physiol Meas; 2018 Dec; 39(12):124007. PubMed ID: 30524091
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Automatic Detection of Atrial Fibrillation in ECG Using Co-Occurrence Patterns of Dynamic Symbol Assignment and Machine Learning.
    Ganapathy N; Baumgärtel D; Deserno TM
    Sensors (Basel); 2021 May; 21(10):. PubMed ID: 34069717
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Surface ECG organization analysis to predict paroxysmal atrial fibrillation termination.
    Alcaraz R; Rieta JJ
    Comput Biol Med; 2009 Aug; 39(8):697-706. PubMed ID: 19523611
    [TBL] [Abstract][Full Text] [Related]  

  • 7. A Feasible Feature Extraction Method for Atrial Fibrillation Detection From BCG.
    Wen X; Huang Y; Wu X; Zhang B
    IEEE J Biomed Health Inform; 2020 Apr; 24(4):1093-1103. PubMed ID: 31295128
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Prediction of paroxysmal atrial fibrillation using recurrence plot-based features of the RR-interval signal.
    Mohebbi M; Ghassemian H
    Physiol Meas; 2011 Aug; 32(8):1147-62. PubMed ID: 21709338
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Prediction of paroxysmal atrial fibrillation by analysis of atrial premature complexes.
    Thong T; McNames J; Aboy M; Goldstein B
    IEEE Trans Biomed Eng; 2004 Apr; 51(4):561-9. PubMed ID: 15072210
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Paroxysmal atrial fibrillation recognition based on multi-scale wavelet α-entropy.
    Xin Y; Zhao Y
    Biomed Eng Online; 2017 Oct; 16(1):121. PubMed ID: 29061181
    [TBL] [Abstract][Full Text] [Related]  

  • 11. An electrocardiogram marker to detect paroxysmal atrial fibrillation.
    Thuraisingham RA
    J Electrocardiol; 2007 Oct; 40(4):344-7. PubMed ID: 17276448
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Prediction of paroxysmal atrial fibrillation based on non-linear analysis and spectrum and bispectrum features of the heart rate variability signal.
    Mohebbi M; Ghassemian H
    Comput Methods Programs Biomed; 2012 Jan; 105(1):40-9. PubMed ID: 20732724
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Paroxysmal atrial fibrillation prediction based on HRV analysis and non-dominated sorting genetic algorithm III.
    Boon KH; Khalil-Hani M; Malarvili MB
    Comput Methods Programs Biomed; 2018 Jan; 153():171-184. PubMed ID: 29157449
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Study of atrial activities for abnormality detection by phase rectified signal averaging technique.
    Maji U; Pal S; Mitra M
    J Med Eng Technol; 2015; 39(5):291-302. PubMed ID: 26084877
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Automatic Paroxysmal Atrial Fibrillation Based on not Fibrillating ECGs.
    Ros E; Mota S; Toro FJ; Díaz AF; Fernández FJ
    Methods Inf Med; 2004; 43(1):94-8. PubMed ID: 15026846
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Atrial fibrillation subtypes classification using the General Fourier-family Transform.
    Ortigosa N; Cano Ó; Ayala G; Galbis A; Fernández C
    Med Eng Phys; 2014 Apr; 36(4):554-60. PubMed ID: 24378383
    [TBL] [Abstract][Full Text] [Related]  

  • 17. ECG signal feature extraction trends in methods and applications.
    Singh AK; Krishnan S
    Biomed Eng Online; 2023 Mar; 22(1):22. PubMed ID: 36890566
    [TBL] [Abstract][Full Text] [Related]  

  • 18. ECG characterization of paroxysmal atrial fibrillation: parameter extraction and automatic diagnosis algorithm.
    Ros E; Mota S; Fernández FJ; Toro FJ; Bernier JL
    Comput Biol Med; 2004 Dec; 34(8):679-96. PubMed ID: 15518652
    [TBL] [Abstract][Full Text] [Related]  

  • 19. An open-source solution for advanced imaging flow cytometry data analysis using machine learning.
    Hennig H; Rees P; Blasi T; Kamentsky L; Hung J; Dao D; Carpenter AE; Filby A
    Methods; 2017 Jan; 112():201-210. PubMed ID: 27594698
    [TBL] [Abstract][Full Text] [Related]  

  • 20. A low-complexity algorithm for detection of atrial fibrillation using an ECG.
    Sadr N; Jayawardhana M; Pham TT; Tang R; Balaei AT; de Chazal P
    Physiol Meas; 2018 Jun; 39(6):064003. PubMed ID: 29791322
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.