R-point detection for noise affected ECG recording through signal segmentation

In this work we propose a novel approach for filtering noise-affected electrocardiogram (ECG) signals. The proposed method, mainly based on signal approximation by means of linear segments, has been applied for R-peaks recognition and has been compared with both cardiologists´ manual marking and the automatic Laguna´s method. The obtained results show that when compared to the Laguna´s method the proposed algorithm provides a smaller mean error and a better error distribution.