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Electrocardiogram signal classificat...
~
Moein, Sara, (1983-)
Electrocardiogram signal classification and machine learning = emerging research and opportunities /
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Electrocardiogram signal classification and machine learning/ by Sara Moein.
Reminder of title:
emerging research and opportunities /
Author:
Moein, Sara,
Published:
Hershey, Pennsylvania :IGI Global, : [2018],
Description:
1 online resource (xiv, 196 p.)
Subject:
Electrocardiography. -
Online resource:
http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-5225-5580-3
ISBN:
9781522555810 (ebook)
Electrocardiogram signal classification and machine learning = emerging 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:
644746
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 learning = emerging research and opportunities /
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Electrocardiogram signal classification and machine learning
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[electronic resource] :
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emerging research and opportunities /
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by Sara Moein.
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Hershey, Pennsylvania :
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IGI Global,
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[2018]
300
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1 online resource (xiv, 196 p.)
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Includes bibliographical references and index.
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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.
506
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Restricted to subscribers or individual electronic text purchasers.
520
3
$a
"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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Electrocardiography.
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Signal processing
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Digital techniques.
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Machine learning.
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Heart
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Diseases
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Diagnosis.
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Pattern recognition systems.
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http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-5225-5580-3
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