Research Information System
in: Modelling and Analysis of Active Biopotential Signals in Healthcare, Volume 1, Varun Bajaj,G.R.Sinha, Editor, Institute of Physics Publishing (IOP) , Bristol, pp.12-26, 2020
In the literature, it can be seen that various advanced signal processing and machine learning techniques and deep learning algorithms have been employed for electrocardiogram (ECG) beat categorization. These methods were generally based on either the time domain or frequency domain. Time–frequency based techniques have also been proposed for ECG beat classification. In this chapter, a different model is proposed for the ECG beat classification task. In the proposed approach, the ECG beats are initially represented by images. Instead of using a time–frequency approach for converting the ECG beats to ECG images, we opt to use the ECG beats directly to construct the ECG images. In other words, the ECG beat values are directly saved as ECG images.