A Statistical Designing Approach to MATLAB Based Functions for the ECG Signal Preprocessing

Though a number of research articles are available based on different preprocessing methodologies, all of them are not available in a single article with the practical utility of implementation. This article scopes to implement the most effective ECG signal preprocessing methods (baseline wander removal, noise cancellation, and peaks detection) with a simple statistical explanation. In addition, this research work contributes to designing several MATLAB based functions to implement the aforementioned preprocessing steps in practice. These functions are available free of cost for all in the MATLAB archive. The foremost aim of this article was to present clear conception about different ECG signal preprocessing steps like baseline wandering removal, noise elimination, QRS complex and point detections, P-peak and T-peak detection, and beat rate calculation. We hope that this work will eradicate all constraints of the ECG signal preprocessing and will motivate the new researchers of this field to reach more acute findings from the ECG signals.