Automated detection and localization of myocardial infarction using electrocardiogram: a comparative study of different leads
Identification and timely interpretation of changes occurring in the 12 electrocardiogram (ECG) leads is crucial to identify the types of myocardial infarction (MI). However, manual annotation of this complex nonlinear ECG signal is not only cumbersome and time consuming but also inaccurate. Hence,...
| Main Authors: | , , , , , , , , , , , |
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| Format: | Article |
| Published: |
Elsevier
2016
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| Subjects: |