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DDC 616.1/207547
M 78
Moein, Sara, (1983-).
Electrocardiogram signal classification and machine learning : : emerging research and opportunities / / by Sara Moein. - Hershey PA : : IGI Global, Medical Information Science Reference,, [2018]. - 1 online resource. - (Advances in medical technologies and clinical practice (AMTCP) book series). - Includes bibliographical references. - URL: https://library.dvfu.ru/lib/document/SK_ELIB/0CF035A4-17D0-4997-BE84-1E93B8D85D68
. - ISBN 9781522555810 (electronic bk.). - ISBN 1522555811 (electronic bk.)
Print version record.
Параллельные издания: Print version: : Moein, Sara, 1983- Electrocardiogram signal classification and machine learning. - Hershey PA : Medical Information Science Reference, [2018]. - ISBN 9781522555803
Содержание:
Medical diagnosis -- Introduction on heart -- Background -- Methodology -- Kinetic gas molecule optimisation (KGMO) -- Classification and feature extraction -- Conclusion.
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
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.