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 *

114 related articles for article (PubMed ID: 10984939)

  • 1. Hierarchical state space partitioning with a network self-organising map for the recognition of ST-T segment changes.
    Bezerianos A; Vladutu L; Papadimitriou S
    Med Biol Eng Comput; 2000 Jul; 38(4):406-15. PubMed ID: 10984939
    [TBL] [Abstract][Full Text] [Related]  

  • 2. An ischemia detection method based on artificial neural networks.
    Papaloukas C; Fotiadis DI; Likas A; Michalis LK
    Artif Intell Med; 2002 Feb; 24(2):167-78. PubMed ID: 11830369
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Model-based estimation of cardiovascular repolarization features: ischaemia detection and PTCA monitoring.
    Laguna P; García J; Roncal I; Wagner G; Lander P; Mark R
    J Med Eng Technol; 1998; 22(2):64-72. PubMed ID: 9597578
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Detection of abnormality in the electrocardiogram without prior knowledge by using the quantisation error of a self-organising map, tested on the European ischaemia database.
    Fernández EA; Willshaw P; Perazzo CA; Presedo RJ; Barro S
    Med Biol Eng Comput; 2001 May; 39(3):330-7. PubMed ID: 11465888
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Automatic classification of transient ischaemic and transient non-ischaemic heart-rate related ST segment deviation episodes in ambulatory ECG records.
    Faganeli J; Jager F
    Physiol Meas; 2010 Mar; 31(3):323-37. PubMed ID: 20130344
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Electrocardiogram ST-Segment Morphology Delineation Method Using Orthogonal Transformations.
    Amon M; Jager F
    PLoS One; 2016; 11(2):e0148814. PubMed ID: 26863140
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Automated detection of transient ST-segment episodes in 24 h electrocardiograms.
    Smrdel A; Jager F
    Med Biol Eng Comput; 2004 May; 42(3):303-11. PubMed ID: 15191074
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Automatic detection of ST-T complex changes on the ECG using filtered RMS difference series: application to ambulatory ischemia monitoring.
    García J; Sörnmo L; Olmos S; Laguna P
    IEEE Trans Biomed Eng; 2000 Sep; 47(9):1195-201. PubMed ID: 11008420
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Guidelines for assessing performance of ST analysers.
    Jager F
    J Med Eng Technol; 1998; 22(1):25-30. PubMed ID: 9491355
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Detection of ST segment deviation episodes in ECG using KLT with an ensemble neural classifier.
    Afsar FA; Arif M; Yang J
    Physiol Meas; 2008 Jul; 29(7):747-60. PubMed ID: 18560057
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Ischemia detection using Isoelectric Energy Function.
    Kumar A; Singh M
    Comput Biol Med; 2016 Jan; 68():76-83. PubMed ID: 26623944
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Classification of electrocardiographic ST-T segments--human expert vs artificial neural network.
    Edenbrandt L; Devine B; Macfarlane PW
    Eur Heart J; 1993 Apr; 14(4):464-8. PubMed ID: 8472708
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Extracting cardiac dynamics within ECG signal for human identification and cardiovascular diseases classification.
    Deng M; Wang C; Tang M; Zheng T
    Neural Netw; 2018 Apr; 100():70-83. PubMed ID: 29471197
    [TBL] [Abstract][Full Text] [Related]  

  • 14. A methodology for the automated creation of fuzzy expert systems for ischaemic and arrhythmic beat classification based on a set of rules obtained by a decision tree.
    Exarchos TP; Tsipouras MG; Exarchos CP; Papaloukas C; Fotiadis DI; Michalis LK
    Artif Intell Med; 2007 Jul; 40(3):187-200. PubMed ID: 17543512
    [TBL] [Abstract][Full Text] [Related]  

  • 15. An adaptive backpropagation neural network for real-time ischemia episodes detection: development and performance analysis using the European ST-T database.
    Maglaveras N; Stamkopoulos T; Pappas C; Strintzis MG
    IEEE Trans Biomed Eng; 1998 Jul; 45(7):805-13. PubMed ID: 9644889
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Neural networks for classification of ECG ST-T segments.
    Edenbrandt L; Devine B; Macfarlane PW
    J Electrocardiol; 1992 Jul; 25(3):167-73. PubMed ID: 1645056
    [TBL] [Abstract][Full Text] [Related]  

  • 17. A knowledge-based technique for automated detection of ischaemic episodes in long duration electrocardiograms.
    Papaloukas C; Fotiadis DI; Liavas AP; Likas A; Michalis LK
    Med Biol Eng Comput; 2001 Jan; 39(1):105-12. PubMed ID: 11214261
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Self-organizing map (SOM) of space acceleration measurement system (SAMS) data.
    Sinha A; Smith AD
    Microgravity Sci Technol; 1999; 12(2):78-87. PubMed ID: 11543426
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Automated ischemic beat classification using genetic algorithms and multicriteria decision analysis.
    Goletsis Y; Papaloukas C; Fotiadis DI; Likas A; Michalis LK
    IEEE Trans Biomed Eng; 2004 Oct; 51(10):1717-25. PubMed ID: 15490819
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Automatic detection and classification of abnormalities for artificial hearts using a hierarchical self-organizing map.
    Wang XZ; Yoshizawa M; Tanaka A; Abe K; Yambe T; Nitta S
    Artif Organs; 2001 Feb; 25(2):150-3. PubMed ID: 11251481
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 6.