ECG Data Mining Using SAS

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  • Additional Information
    • Publication Information:
      IEEE
    • Publication Date:
      2020
    • Abstract:
      ECG analysis is an important part of finding devices, especially in the cardiovascular system. Various parameters obtained with the ECG curve, such as P-R, QT, R-R, Q-R-S, and S-T intervals, as well as heart rate variability, serve as safety and efficacy endpoints for many clinical trials. There are different algorithms based on graphs and frequency domains to detect different waveforms and ECG cells [4]. This article discusses the study and determination of ECG using SAS. ECG data, which are used for analysis and articles in clinical, are usually processed. The study of the algorithm of ECG signs using SAS allows you to flexibly and clearly perform a preliminary analysis of the parameters obtained from the ECG. In addition, it allows the programmer or researcher to analyze the same data from a research point of view.
    • Contents Note:
      Conference Acronym: CBI
    • Author Affiliations:
      LLC Institute of sustainable developmen research,Dr. In economics (RF MSU and RK),Almaty,Kazakhstan
      International information technology university,Information system,Almaty,Kazakhstan
      International information technology university,BSc. IS (Information System),Almaty,Kazakhstan
      Information System IITU,Ph.D. in CS assistant-prof. IS department,Almaty,Kazakhstan
      pcg on pvc City Cardiology Center laboratory assistant,Almaty,Kazakhstan
    • ISBN:
      978-1-7281-9926-9
    • ISSN:
      2378-1971
    • Relation:
      2020 IEEE 22nd Conference on Business Informatics (CBI)
    • Accession Number:
      10.1109/CBI49978.2020.10061
    • Rights:
      Copyright 2020, IEEE
    • AMSID:
      9140257
    • Conference Acronym:
      CBI
    • Date of Current Version:
      2020
    • Document Subtype:
      IEEE Conference
    • Notes:
      Conference Location: Antwerp, Belgium, Belgium

      Conference Start Date: 22 June 2020

      Conference End Date: 24 June 2020
    • Accession Number:
      edseee.9140257
  • Citations
    • ABNT:
      KUATBAYEVA, G. et al. ECG Data Mining Using SAS. 2020 IEEE 22nd Conference on Business Informatics (CBI), Business Informatics (CBI), 2020 IEEE 22nd Conference on, [s. l.], v. 2, p. 78–81, 2020. DOI 10.1109/CBI49978.2020.10061. Disponível em: http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edseee&AN=edseee.9140257. Acesso em: 29 set. 2020.
    • AMA:
      Kuatbayeva G, Satybaldiyeva R, Syrymbet Z, Kuatbayeva A, Mankibayeva M. ECG Data Mining Using SAS. 2020 IEEE 22nd Conference on Business Informatics (CBI), Business Informatics (CBI), 2020 IEEE 22nd Conference on. 2020;2:78-81. doi:10.1109/CBI49978.2020.10061
    • APA:
      Kuatbayeva, G., Satybaldiyeva, R., Syrymbet, Z., Kuatbayeva, A., & Mankibayeva, M. (2020). ECG Data Mining Using SAS. 2020 IEEE 22nd Conference on Business Informatics (CBI), Business Informatics (CBI), 2020 IEEE 22nd Conference On, 2, 78–81. https://doi.org/10.1109/CBI49978.2020.10061
    • Chicago/Turabian: Author-Date:
      Kuatbayeva, Gulnar, Ryskhan Satybaldiyeva, Zarina Syrymbet, Akmaral Kuatbayeva, and Meruert Mankibayeva. 2020. “ECG Data Mining Using SAS.” 2020 IEEE 22nd Conference on Business Informatics (CBI), Business Informatics (CBI), 2020 IEEE 22nd Conference On 2 (June): 78–81. doi:10.1109/CBI49978.2020.10061.
    • Harvard:
      Kuatbayeva, G. et al. (2020) ‘ECG Data Mining Using SAS’, 2020 IEEE 22nd Conference on Business Informatics (CBI), Business Informatics (CBI), 2020 IEEE 22nd Conference on, 2, pp. 78–81. doi: 10.1109/CBI49978.2020.10061.
    • Harvard: Australian:
      Kuatbayeva, G, Satybaldiyeva, R, Syrymbet, Z, Kuatbayeva, A & Mankibayeva, M 2020, ‘ECG Data Mining Using SAS’, 2020 IEEE 22nd Conference on Business Informatics (CBI), Business Informatics (CBI), 2020 IEEE 22nd Conference on, vol. 2, pp. 78–81, viewed 29 September 2020, .
    • MLA:
      Kuatbayeva, Gulnar, et al. “ECG Data Mining Using SAS.” 2020 IEEE 22nd Conference on Business Informatics (CBI), Business Informatics (CBI), 2020 IEEE 22nd Conference On, vol. 2, June 2020, pp. 78–81. EBSCOhost, doi:10.1109/CBI49978.2020.10061.
    • Chicago/Turabian: Humanities:
      Kuatbayeva, Gulnar, Ryskhan Satybaldiyeva, Zarina Syrymbet, Akmaral Kuatbayeva, and Meruert Mankibayeva. “ECG Data Mining Using SAS.” 2020 IEEE 22nd Conference on Business Informatics (CBI), Business Informatics (CBI), 2020 IEEE 22nd Conference On 2 (June 1, 2020): 78–81. doi:10.1109/CBI49978.2020.10061.
    • Vancouver/ICMJE:
      Kuatbayeva G, Satybaldiyeva R, Syrymbet Z, Kuatbayeva A, Mankibayeva M. ECG Data Mining Using SAS. 2020 IEEE 22nd Conference on Business Informatics (CBI), Business Informatics (CBI), 2020 IEEE 22nd Conference on [Internet]. 2020 Jun 1 [cited 2020 Sep 29];2:78–81. Available from: http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edseee&AN=edseee.9140257