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Electrocardiogram signal classificat...
~
Moein, Sara, (1983-)
Electrocardiogram signal classification and machine learningemerging research and opportunities /
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Electrocardiogram signal classification and machine learningby Sara Moein.
其他題名:
emerging research and opportunities /
作者:
Moein, Sara,
出版者:
Hershey, Pennsylvania :IGI Global,[2018]
面頁冊數:
1 online resource (xiv, 196 p.)
標題:
Electrocardiography.
電子資源:
http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-5225-5580-3
ISBN:
9781522555810 (ebook)
Electrocardiogram signal classification and machine learningemerging research and opportunities /
Moein, Sara,1983-
Electrocardiogram signal classification and machine learning
emerging research and opportunities /[electronic resource] :by Sara Moein. - Hershey, Pennsylvania :IGI Global,[2018] - 1 online resource (xiv, 196 p.)
Includes bibliographical references and index.
Chapter 1. Medical diagnosis -- Chapter 2. Introduction to heart -- Chapter 3. Definition of artificial neural network -- Chapter 4. Swarm optimization -- Chapter 5. Feature extraction -- Chapter 6. Literature review -- Chapter 7. Methodology -- Chapter 8. Kinetic gas molecule optimization (KGMO) -- Chapter 9. Classification and feature extraction.
Restricted to subscribers or individual electronic text purchasers.
"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.
ISBN: 9781522555810 (ebook)Subjects--Topical Terms:
240632
Electrocardiography.
LC Class. No.: RC683.5.E5 / E44 2018e
Dewey Class. No.: 616.1/207547
National Library of Medicine Call No.: WG 140 / .E44 2018e
Electrocardiogram signal classification and machine learningemerging research and opportunities /
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emerging research and opportunities /
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Chapter 1. Medical diagnosis -- Chapter 2. Introduction to heart -- Chapter 3. Definition of artificial neural network -- Chapter 4. Swarm optimization -- Chapter 5. Feature extraction -- Chapter 6. Literature review -- Chapter 7. Methodology -- Chapter 8. Kinetic gas molecule optimization (KGMO) -- Chapter 9. Classification and feature extraction.
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Restricted to subscribers or individual electronic text purchasers.
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"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.
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http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-5225-5580-3
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