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    Statistically Based Criteria for Complex ECG Signal Assessment at Preventive Cardio Control

    Published:25 August 2020Publication History
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    Abstract

    The article presents the main studies, statistical results and justification of the criteria for complex evaluation in the analysis of electrocardiographic signals of clinically healthy people in preventive control to determine the current cardiac abnormalities. The presented study and statistically valid criteria are part of a software system for the evaluation of the individual medical information from the real life of healthy people and a specific method of analysis of the results.

    References

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    Manukova, A., M. Marinov, M. Grozeva. An Approach to Evaluation of Clinically Healthy People by Preventive Cardio Control. - Cybernetics and Information Technologies, Vol.19, 2019, No 2, pp. 133--145, ISSN 1311-9702.
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    Manukova, A., M. Grozeva, M. Marinov. Criteria for Evaluation, Methodology and Analysis of Electrocardiographic Signal Results from Experimental Studies in Preventive Control of Clinically Healthy People. - Electronics - Design, Technology, Applications, Poland, Vol. 1, 2018, pp. 40--44.
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    Published In

    cover image ACM Other conferences
    CompSysTech '20: Proceedings of the 21st International Conference on Computer Systems and Technologies
    June 2020
    343 pages
    ISBN:9781450377683
    DOI:10.1145/3407982
    Copyright © 2020 ACM.
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from[email protected]

    In-Cooperation

    • UORB: University of Ruse, Bulgaria

    Publisher

    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 25 August 2020

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    Author Tags

    1. ECG
    2. analysis
    3. evaluation
    4. preventive control
    5. statistics

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    • Research-article
    • Research
    • Refereed limited

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    CompSysTech '20

    Acceptance Rates

    CompSysTech '20 Paper Acceptance Rate 46 of 72 submissions, 64%;
    Overall Acceptance Rate 241 of 492 submissions, 49%

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    Affiliations

    AneliyaManukova
    Department of Electronics Ruse, Ruse, Bulgaria
    IvanGeorgiev
    Department of Applied Mathematics and Statistics, University of Ruse, Ruse, Bulgaria
    MateyMarinov
    Department of Computer Science, University of Liverpool, Liverpool, United Kingdom
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