Study of ECG Signal Classification based on Deep Learning Techniques: Advancements in ECG Signal Classification using Deep Learning Techniques

Abstract

Cardio-vascular disease can become a major cause of death if it is ignored or not diagnosedproperly. The treatment can be the significant expense due to the late diagnosis. What's more, thenumber of specialist working in this cardiology domain are continually diminishing. Hence, it isnecessary to design and develop an automaticalgorithm for the classification of heart-beats from electrocardiogram(ECG) registers. Thisclassification is tough process with many edges. Eventhough a fewpeople worked on it to address the issues, it isn't as clear that which of them has good performance, dueto the inconsistencies in the comparisons and only the researchers who applied the similar paradigms(Intrapatient, Interpatient or patient-specific) are can be compared.Thewaveformshavevariousdeflections. These signals are analysed and interpreted automatically and it usesa computer assistance signal processing and pattern recognition techniques. In this paper, we havepresenteda hypothetical survey of deep learning and traditional methods based electro-cardiogramsignals classification.