Advances in ECG Signal Processing: Improved R-Peak Detection and Denoising Techniques for Accurate Cardiac Diagnosis

Resumen

The analysis of electrocardiograms (ECGs) is critical for diagnosing various cardiac diseases, which are the leading cause of mortality in developed countries. The significant points of the ECG, which consist of characteristic wave peaks and boundaries, contain essential information about intervals and amplitudes that are clinically relevant. It is, therefore, crucial to continuously test and improve the accuracy and robustness of techniques used for automatically delineating ECGs, particularly when analyzing extended recordings. To address this need for ongoing improvement, there are now open-source tools available, such as Neurokit [1]. These tools can help researchers and clinicians to evaluate and refine their techniques for automatically analyzing ECGs, which ultimately leads to more accurate diagnoses and better patient outcomes. Therefore, the development and utilization of such tools are crucial for advancing the field of ECG analysis and improving the diagnosis and treatment of cardiac diseases [2]. [...]