CHAPTER 9 A Deep Transfer Learning Model for the Analysis of Electrocardiograms
A cardiac attack or myocardial infarction (MI) is one of the common heart disorders. It occurs when one more coronary artery of the heart becomes blocked. Early detection of MI is essential for the reduction of the death rate that is rising. Currently, cardiologists use an electrocardiogram (ECG) as a tool that is a diagnostic monitor and reveals the MI signals. However, all the MI signals are not stable and can be noisy, and as a result, it can be challenging to detect or observe these signals manually. Moreover, manual analysis of large amounts of ECG signal data can be tedious and time-consuming. Thus, there is a need to develop efficient methods to automatically ...
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