Practical Applications of Electrocardiogram
This book provides an excellent overview of the diagnosis of abnormal electrocardiograms (ECGs) through deep learning methods. These methods include optimal techniques that can link the processing and analysis of nonstationary ECG signals, the various statistical methods of converting ECG data into...
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| Other Authors: | |
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| Format: | Electronic Book Chapter |
| Language: | English |
| Published: |
IntechOpen
2020
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| Subjects: | |
| Online Access: | DOAB: download the publication DOAB: description of the publication |
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| Summary: | This book provides an excellent overview of the diagnosis of abnormal electrocardiograms (ECGs) through deep learning methods. These methods include optimal techniques that can link the processing and analysis of nonstationary ECG signals, the various statistical methods of converting ECG data into variant maps, and the application of various ways of identifying premature atrial beats, ECG characteristics of right and left ventricular tachyarrhythmia, and conditions producing left ventricular hypertrophy, including hypertrophic cardiomyopathy. This book is divided into two sections, including basic and practical applications of ECGs. We hope that it will serve as a reference for the techniques used to obtain and process electrical signals for ECGs. This book will also function as an excellent reference for atrial and ventricular tachyarrhythmia. |
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| Physical Description: | 1 electronic resource (118 p.) |
| ISBN: | intechopen.77737 9781789840780 9781789840773 9781789840834 |
| Access: | Open Access |