• ВХОД

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    Полное описание

    Moein, Sara Electrocardiogram signal classification and machine learning : emerging research and opportunities / by Sara Moein. - Hershey PA : IGI Global, Medical Information Science Reference, [2018]. - 14 p. - URL: https://cat.gpntb.ru/?id=FT/ShowFT&sid=7251c3a34de9f42701e2907794475f11. - Includes bibliographical references. - ISBN 9781522555810. - ISBN 1522555811. - Текст : электронный.
    Содержание:
    Medical diagnosis -- Introduction on heart -- Background -- Methodology -- Kinetic gas molecule optimisation (KGMO) -- Classification and feature extraction -- Conclusion.
    ГРНТИ УДК
    76.0161

    Рубрики:
    Electrocardiography
    Signal processing -- Digital techniques
    Machine learning
    Heart -- Diseases -- Diagnosis
    Pattern recognition systems
    Electrocardiography -- methods
    Signal Processing, Computer-Assisted
    Machine Learning
    Heart Diseases -- diagnosis
    Pattern Recognition, Automated
    HEALTH & FITNESS / Diseases / General
    MEDICAL / Clinical Medicine
    MEDICAL / Diseases
    MEDICAL / Evidence-Based Medicine
    MEDICAL / Internal Medicine
    Медицина

    Аннотация: This book develops an intelligent system to classify electrocardiogram signal classification signals for 4 common heart disorders, which are supraventricular tachycardia, bundle branch block, anterior myocardial infarction (Anterior MI), and inferior myocardial infarction (Inferior MI) as well as the normal healthy class.Provided by publisher.

    Полный текст


    Держатели документа:
    Полнотекстовая коллекция книг EBSCO eBooks (Шифр в БД-источнике (EBSKO): on1033673278)

    Шифр в сводном ЭК: 9972ebfa82bf8f7603d73ff378e39895



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