Details
| 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 |
| Language | English |
| Rights | Доступ по паролю из сети Интернет (чтение, печать, копирование) |
| Record key | on1033673278 |
| Record create date | 5/3/2018 |
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| Network | Internet |
"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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| Internet | Authorized users SPbPU |
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- 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
...
