Electrocardiogram signal classification and machine learning: emerging research and opportunities
"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...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) :
IGI Global,
[2018]
|
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Zusammenfassung: | "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. |
| Beschreibung: | 19 PDFs (xiv, 196 pages) Also available in print. |
| Format: | Mode of access: World Wide Web. |
| Bibliographie: | Includes bibliographical references and index. |
| ISBN: | 9781522555810 |
| Zugangseinschränkungen: | Restricted to subscribers or individual electronic text purchasers. |
Internformat
MARC
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| 003 | IGIG | ||
| 005 | 20180516110934.0 | ||
| 006 | m eo d | ||
| 007 | cr bn |||m|||a | ||
| 008 | 180517s2018 pau fob 001 0 eng d | ||
| 010 | |z 2017048281 | ||
| 020 | |a 9781522555810 |q ebook | ||
| 020 | |z 9781522555803 |q hardcover | ||
| 024 | 7 | |a 10.4018/978-1-5225-5580-3 |2 doi | |
| 035 | |a (CaBNVSL)slc20050764 | ||
| 035 | |a (DNLM)101714318 | ||
| 035 | |a (OCoLC)1033673278 | ||
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| 050 | 4 | |a RC683.5.E5 |b E44 2018e | |
| 060 | 1 | 0 | |a WG 140 |b .E44 2018e |
| 082 | 7 | |a 616.1/207547 |2 23 | |
| 100 | 1 | |a Moein, Sara, |d 1983- |e author. | |
| 245 | 1 | 0 | |a Electrocardiogram signal classification and machine learning |b emerging research and opportunities |c by Sara Moein. |
| 264 | 1 | |a Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) : |b IGI Global, |c [2018] | |
| 300 | |a 19 PDFs (xiv, 196 pages) | ||
| 336 | |a text |2 rdacontent | ||
| 337 | |a electronic |2 isbdmedia | ||
| 338 | |a online resource |2 rdacarrier | ||
| 504 | |a Includes bibliographical references and index. | ||
| 505 | 0 | |a 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 | |a 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. | |
| 530 | |a Also available in print. | ||
| 538 | |a Mode of access: World Wide Web. | ||
| 588 | |a Description based on title screen (IGI Global, viewed 05/17/2018). | ||
| 650 | 0 | |a Electrocardiography. | |
| 650 | 0 | |a Heart |x Diseases |x Diagnosis. | |
| 650 | 0 | |a Machine learning. | |
| 650 | 0 | |a Pattern recognition systems. | |
| 650 | 0 | |a Signal processing |x Digital techniques. | |
| 650 | 1 | 2 | |a Electrocardiography |x methods |
| 650 | 2 | 2 | |a Heart Diseases |x diagnosis |
| 650 | 2 | 2 | |a Machine Learning |
| 650 | 2 | 2 | |a Pattern Recognition, Automated |
| 650 | 2 | 2 | |a Signal Processing, Computer-Assisted |
| 710 | 2 | |a IGI Global, |e publisher. | |
| 776 | 0 | |c (Original) |w (DLC)2017048281 | |
| 776 | 0 | 8 | |i Print version: |z 1522555803 |z 9781522555803 |w (DLC) 2017048281 |
| 856 | 4 | 0 | |l FWS01 |p ZDB-98-IGB |q FWS_PDA_IGB |u http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-5225-5580-3 |3 Volltext |
| 912 | |a ZDB-98-IGB | ||
| 049 | |a DE-863 | ||
Datensatz im Suchindex
| DE-BY-FWS_katkey | ZDB-98-IGB-00190471 |
|---|---|
| _version_ | 1816797080081924096 |
| adam_text | |
| any_adam_object | |
| author | Moein, Sara, 1983- |
| author_facet | Moein, Sara, 1983- |
| author_role | aut |
| author_sort | Moein, Sara, 1983- |
| author_variant | s m sm |
| building | Verbundindex |
| bvnumber | localFWS |
| callnumber-first | R - Medicine |
| callnumber-label | RC683 |
| callnumber-raw | RC683.5.E5 E44 2018e |
| callnumber-search | RC683.5.E5 E44 2018e |
| callnumber-sort | RC 3683.5 E5 E44 42018E |
| callnumber-subject | RC - Internal Medicine |
| collection | ZDB-98-IGB |
| contents | 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. |
| ctrlnum | (CaBNVSL)slc20050764 (DNLM)101714318 (OCoLC)1033673278 |
| dewey-full | 616.1/207547 |
| dewey-hundreds | 600 - Technology (Applied sciences) |
| dewey-ones | 616 - Diseases |
| dewey-raw | 616.1/207547 |
| dewey-search | 616.1/207547 |
| dewey-sort | 3616.1 6207547 |
| dewey-tens | 610 - Medicine and health |
| discipline | Medizin |
| format | Electronic eBook |
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| id | ZDB-98-IGB-00190471 |
| illustrated | Not Illustrated |
| indexdate | 2024-11-26T14:51:53Z |
| institution | BVB |
| isbn | 9781522555810 |
| language | English |
| oclc_num | 1033673278 |
| open_access_boolean | |
| owner | DE-863 DE-BY-FWS |
| owner_facet | DE-863 DE-BY-FWS |
| physical | 19 PDFs (xiv, 196 pages) Also available in print. |
| psigel | ZDB-98-IGB |
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| publishDateSort | 2018 |
| publisher | IGI Global, |
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| spelling | Moein, Sara, 1983- author. Electrocardiogram signal classification and machine learning emerging research and opportunities by Sara Moein. Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) : IGI Global, [2018] 19 PDFs (xiv, 196 pages) text rdacontent electronic isbdmedia online resource rdacarrier 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. Also available in print. Mode of access: World Wide Web. Description based on title screen (IGI Global, viewed 05/17/2018). Electrocardiography. Heart Diseases Diagnosis. Machine learning. Pattern recognition systems. Signal processing Digital techniques. Electrocardiography methods Heart Diseases diagnosis Machine Learning Pattern Recognition, Automated Signal Processing, Computer-Assisted IGI Global, publisher. (Original) (DLC)2017048281 Print version: 1522555803 9781522555803 (DLC) 2017048281 FWS01 ZDB-98-IGB FWS_PDA_IGB http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-5225-5580-3 Volltext |
| spellingShingle | Moein, Sara, 1983- Electrocardiogram signal classification and machine learning emerging research and opportunities 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. Electrocardiography. Heart Diseases Diagnosis. Machine learning. Pattern recognition systems. Signal processing Digital techniques. Electrocardiography methods Heart Diseases diagnosis Machine Learning Pattern Recognition, Automated Signal Processing, Computer-Assisted |
| title | Electrocardiogram signal classification and machine learning emerging research and opportunities |
| title_auth | Electrocardiogram signal classification and machine learning emerging research and opportunities |
| title_exact_search | Electrocardiogram signal classification and machine learning emerging research and opportunities |
| title_full | Electrocardiogram signal classification and machine learning emerging research and opportunities by Sara Moein. |
| title_fullStr | Electrocardiogram signal classification and machine learning emerging research and opportunities by Sara Moein. |
| title_full_unstemmed | Electrocardiogram signal classification and machine learning emerging research and opportunities by Sara Moein. |
| title_short | Electrocardiogram signal classification and machine learning |
| title_sort | electrocardiogram signal classification and machine learning emerging research and opportunities |
| title_sub | emerging research and opportunities |
| topic | Electrocardiography. Heart Diseases Diagnosis. Machine learning. Pattern recognition systems. Signal processing Digital techniques. Electrocardiography methods Heart Diseases diagnosis Machine Learning Pattern Recognition, Automated Signal Processing, Computer-Assisted |
| topic_facet | Electrocardiography. Heart Diseases Diagnosis. Machine learning. Pattern recognition systems. Signal processing Digital techniques. Electrocardiography methods Heart Diseases diagnosis Machine Learning Pattern Recognition, Automated Signal Processing, Computer-Assisted |
| url | http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-5225-5580-3 |
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