Fig. 1
From: Classification of COVID-19 electrocardiograms by using hexaxial feature mapping and deep learning
Representation of the proposed framework, includes five-step: (i) ECG image dataset acquisition (The heart drawing is provided from a publicly available webpage (Zagrobelna, M.: How to Draw a Heart. Available from: https://design.tutsplus.com/tutorials/how-to-draw-a-heart-cms-30737. Accessed: 2021-05-05).), (ii) segmentation, pre-image-processing, and image enhancement, (iii) application of GLCM and extractions of some of their properties (includes statistical analysis), (iv) ECG hexaxial feature mapping process, and (v) designing, training, validating, and testing the proposed deep network (**GLCM: Gray Level Co-occurrence Matrix, paper-based ECG report number: 211 with the label: COVID-19 [54])