ECG viewed using Grayscale Patterns

Abstract

The paper forms a precursor to future research which blends signal processing and image processing for the application of biomedical signals interpretation, especially on ECG signal. The work emphasizes on relating the one dimensional (1D) ECG signal to two-dimensional (2D) grayscale patterns based on vertical amplitude surge. This work investigates on the computation (the interpretation) of 1D ECG in order for it to display in the form of 2D-Grayscale by using moving-average windowing technique using various setting of window sizes.