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Table Card RUSMARC
Title: Advances in medical technologies and clinical practice book series. Electrocardiogram signal classification and machine learning: emerging research and opportunities
Creators: Moein Sara
Collection: Электронные книги зарубежных издательств; Общая коллекция
Subjects: Electrocardiography.; Signal processing — Digital techniques.; Machine learning.; Heart — Diseases — Diagnosis.; Pattern recognition systems.; Electrocardiography — methods.; Signal Processing, Computer-Assisted.; Heart Diseases — diagnosis.; Pattern Recognition, Automated.; HEALTH & FITNESS / Diseases / General; MEDICAL / Clinical Medicine; MEDICAL / Diseases; MEDICAL / Evidence-Based Medicine; MEDICAL / Internal Medicine; EBSCO eBooks
Document type: Other
File type: PDF
Language: English
Rights: Доступ по паролю из сети Интернет (чтение, печать, копирование)
Record key: on1033673278

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Network: Internet

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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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Table of Contents

  • Title Page
  • Copyright Page
  • Book Series
  • Dedication
  • Table of Contents
  • Preface
  • Acknowledgment
  • 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
  • Conclusion
  • Compilation of References
  • About the Author
  • Index

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