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...
| Главный автор: | |
|---|---|
| Формат: | Электронная книга |
| Язык: | English |
| Публикация: |
Hershey PA
IGI Global, Medical Information Science Reference,
[2018]
|
| Серии: | Advances in medical technologies and clinical practice book series.
|
| Предметы: | |
| Online-ссылка: | EBSCOhost Перейти в каталог НБ ТГУ |
| LEADER | 02937cam a2200661Ii 4500 | ||
|---|---|---|---|
| 001 | koha001012945 | ||
| 003 | OCoLC | ||
| 005 | 20250222065943.0 | ||
| 006 | m d | ||
| 007 | cr cnu---unuuu | ||
| 008 | 180503s2018 pau ob 000 0 eng d | ||
| 035 | |a koha001012945 | ||
| 040 | |a N$T |b eng |e rda |e pn |c N$T |d N$T |d OCLCO | ||
| 020 | |a 9781522555810 |q (electronic bk.) | ||
| 020 | |a 1522555811 |q (electronic bk.) | ||
| 020 | |z 9781522555803 | ||
| 020 | |z 1522555803 | ||
| 050 | 4 | |a RC683.5.E5 | |
| 060 | 1 | 4 | |a WG 140 |
| 072 | 7 | |a HEA |x 039000 |2 bisacsh | |
| 072 | 7 | |a MED |x 014000 |2 bisacsh | |
| 072 | 7 | |a MED |x 022000 |2 bisacsh | |
| 072 | 7 | |a MED |x 112000 |2 bisacsh | |
| 072 | 7 | |a MED |x 045000 |2 bisacsh | |
| 082 | 0 | 4 | |a 616.1/207547 |2 23 |
| 049 | |a MAIN | ||
| 100 | 1 | |a Moein, Sara, |d 1983- |9 910655 | |
| 245 | 1 | 0 | |a Electrocardiogram signal classification and machine learning |b emerging research and opportunities |c by Sara Moein. |
| 264 | 1 | |a Hershey PA |b IGI Global, Medical Information Science Reference, |c [2018] | |
| 300 | |a 1 online resource. | ||
| 490 | 1 | |a Advances in medical technologies and clinical practice (AMTCP) book series | |
| 588 | 0 | |a Print version record. | |
| 504 | |a Includes bibliographical references. | ||
| 505 | 0 | |a Medical diagnosis -- Introduction on heart -- Background -- Methodology -- Kinetic gas molecule optimisation (KGMO) -- Classification and feature extraction -- Conclusion. | |
| 520 | |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. | ||
| 653 | 0 | |a Electrocardiography. | |
| 653 | 0 | |a Signal processing |x Digital techniques. | |
| 653 | 0 | |a Machine learning. | |
| 653 | 0 | |a Heart |x Diseases |x Diagnosis. | |
| 653 | 0 | |a Pattern recognition systems. | |
| 653 | 1 | 2 | |a Electrocardiography |x methods. |
| 653 | 2 | 2 | |a Signal Processing, Computer-Assisted. |
| 653 | 2 | 2 | |a Machine Learning. |
| 653 | 2 | 2 | |a Heart Diseases |x diagnosis. |
| 653 | 2 | 2 | |a Pattern Recognition, Automated. |
| 653 | 7 | |a HEALTH & FITNESS / Diseases / General |2 bisacsh | |
| 653 | 7 | |a MEDICAL / Clinical Medicine |2 bisacsh | |
| 653 | 7 | |a MEDICAL / Diseases |2 bisacsh | |
| 653 | 7 | |a MEDICAL / Evidence-Based Medicine |2 bisacsh | |
| 653 | 7 | |a MEDICAL / Internal Medicine |2 bisacsh | |
| 655 | 0 | |a EBSCO eBooks |9 905790 | |
| 655 | 4 | |a Electronic books. |9 899821 | |
| 830 | 0 | |a Advances in medical technologies and clinical practice book series. |9 900145 | |
| 856 | 4 | 0 | |3 EBSCOhost |u https://www.lib.tsu.ru/limit/2023/EBSCO/1803006.pdf |
| 856 | |y Перейти в каталог НБ ТГУ |u https://koha.lib.tsu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=1012945 | ||
| 910 | |a EBSCO eBooks | ||
| 999 | |c 1012945 |d 1012945 | ||
| 039 | |||