Filters for Electrocardiogram Signal Processing: A Review

Recording an Electrocardiogram (ECG) signal is a difficult task in the field of biomedical engineering. The ECG signal reflects the electrical activity of the heart muscle and is important in diagnosing heart conditions. However, the signal is often contaminated with various types of noise during processing, such as muscle noise, power line interference, baseline wandering, and motion artifacts. It is crucial to separate the desired signal from these noise sources to ensure accurate diagnosis. This article examines the challenges associated with ECG preprocessing filters in the last five years.