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Detection of myocardial infarction using analysis of vectorcardiographic loops

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F24%3A10254725" target="_blank" >RIV/61989100:27240/24:10254725 - isvavai.cz</a>

  • Result on the web

    <a href="https://www.sciencedirect.com/science/article/pii/S0263224123016585" target="_blank" >https://www.sciencedirect.com/science/article/pii/S0263224123016585</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1016/j.measurement.2023.114094" target="_blank" >10.1016/j.measurement.2023.114094</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Detection of myocardial infarction using analysis of vectorcardiographic loops

  • Original language description

    Vectorcardiography is an alternative form of ECG for measuring electrical activity of the heart. It achieves higher sensitivity and provides the cardiologist additional information that can contribute to early diagnosis. This study is focused on proposal of a methodology for the processing of directly measured and transformed VCG records by using Kors regression transformation. A total 16 VCG features were extracted, while 12 features showed relevant information based on the statistical analysis and the method of maximum relevance minimum redundancy. These features served as input to the LDA and decision trees classifiers, while LDA achieved the most accurate results with accuracy 91.5%, specificity 76.3% and sensitivity 94.8% for directly measured VCG and accuracy 90.9%, specificity 76.3% and sensitivity 94.0% for transformed VCG. We conclude that this proposed methodology and the results obtained from it can be beneficial for the early diagnosis of myocardial infarction within the framework of automated detection.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    20600 - Medical engineering

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2024

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Measurement

  • ISSN

    0263-2241

  • e-ISSN

    1873-412X

  • Volume of the periodical

    226

  • Issue of the periodical within the volume

    28 February 2024

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    15

  • Pages from-to

  • UT code for WoS article

    001158678200001

  • EID of the result in the Scopus database

    2-s2.0-85181942185