Electrocardiography (ECG) has, for long been an important and vital measure of the heart's electrical activities. Using the information obtained from a person's ECG, doctors can assess the risk factors associated to the circulatory system of the body. Conventionally, this analysis is either done manually by doctors, or by running signal processing algorithms on a computer. In this paper, the possibility of performing such analysis using an ECG image rather than using a pre-recorded, raw ECG signal has been discussed. The discussion has been limited to the detection of R-peaks in the ECG waveform using both, Image and Signal Processing. The idea can be extended to evaluate several other parameters related to heart health, since most of them are based on ECG analysis report. © 2018 Association for Computing Machinery.