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 PA, USA
IGI Global, Disseminator of Knowledge
[2018]
|
| Schriftenreihe: | Advances in medical technologies and clinical practice (AMTCP) book series
Research insights |
| Schlagworte: | |
| Online-Zugang: | DE-1050 DE-1049 DE-706 DE-573 DE-91 DE-20 DE-898 DE-83 URL des Erstveröffentlichers |
| 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: | Includes bibliographical references |
| Beschreibung: | 1 Online-Ressource (xiv, 196 Seiten) Illustrationen, Diagramme |
| ISBN: | 9781522555810 |
| DOI: | 10.4018/978-1-5225-5580-3 |
Internformat
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Datensatz im Suchindex
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| id | DE-604.BV044933402 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-20T06:38:16Z |
| institution | BVB |
| isbn | 9781522555810 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-030326416 |
| oclc_num | 1035472785 |
| open_access_boolean | |
| owner | DE-1050 DE-1049 DE-706 DE-573 DE-91 DE-BY-TUM DE-20 DE-898 DE-BY-UBR DE-83 |
| owner_facet | DE-1050 DE-1049 DE-706 DE-573 DE-91 DE-BY-TUM DE-20 DE-898 DE-BY-UBR DE-83 |
| physical | 1 Online-Ressource (xiv, 196 Seiten) Illustrationen, Diagramme |
| psigel | ZDB-98-IGB ZDB-1-IGE ZDB-98-IGB FHD01_IGB_Kauf ZDB-1-IGE ZDB-1-IGE18 ZDB-98-IGB TUB_EBS_IGB |
| publishDate | 2018 |
| publishDateSearch | 2018 |
| publishDateSort | 2018 |
| publisher | IGI Global, Disseminator of Knowledge |
| record_format | marc |
| series2 | Advances in medical technologies and clinical practice (AMTCP) book series Research insights |
| spelling | Moein, Sara 1983- Verfasser (DE-588)1106277414 aut Electrocardiogram signal classification and machine learning emerging research and opportunities Sara Moein (Mount Sinai School of Medicine, USA) Hershey PA, USA IGI Global, Disseminator of Knowledge [2018] © 2018 1 Online-Ressource (xiv, 196 Seiten) Illustrationen, Diagramme txt rdacontent c rdamedia cr rdacarrier Advances in medical technologies and clinical practice (AMTCP) book series Research insights Includes bibliographical references "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 Electrocardiography Signal Processing, Computer-Assisted Machine Learning Heart Diseases Pattern Recognition, Automated Erscheint auch als Druck-Ausgabe, hardcover 978-1-5225-5580-3 Erscheint auch als Druck-Ausgabe 1-5225-5580-3 https://doi.org/10.4018/978-1-5225-5580-3 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Moein, Sara 1983- Electrocardiogram signal classification and machine learning emerging research and opportunities Electrocardiography Signal Processing, Computer-Assisted Machine Learning Heart Diseases Pattern Recognition, Automated |
| 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 Sara Moein (Mount Sinai School of Medicine, USA) |
| title_fullStr | Electrocardiogram signal classification and machine learning emerging research and opportunities Sara Moein (Mount Sinai School of Medicine, USA) |
| title_full_unstemmed | Electrocardiogram signal classification and machine learning emerging research and opportunities Sara Moein (Mount Sinai School of Medicine, USA) |
| 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 Signal Processing, Computer-Assisted Machine Learning Heart Diseases Pattern Recognition, Automated |
| topic_facet | Electrocardiography Signal Processing, Computer-Assisted Machine Learning Heart Diseases Pattern Recognition, Automated |
| url | https://doi.org/10.4018/978-1-5225-5580-3 |
| work_keys_str_mv | AT moeinsara electrocardiogramsignalclassificationandmachinelearningemergingresearchandopportunities |