The use of ECG in cardiovascular health monitor-ing is well established. The signal is collected using specialisedequipment, capturing the electrical discharge properties of thehuman heart. This produces a well-structured signal tracewhich can be characterised through its peaks and troughs.The signal can then be used by clinicians to diagnose cardiacdisorders. However, as with any measuring equipment, theECG output signal can experience deterioration resulting fromnoise. This can happen due to environmental interference,human issues or measuring equipment failure necessitatingthe development of various denoising strategies to reduce, orremove the noise entirely. In this paper, we study typicallyoccurring types of noise and implement popular strategies usedto rectify them. We also show, that the given strategy’s denoisingpotential is directly related to R-wave detection, and providebest strategies to apply when faced with specific noise type.