CONF Prasad_EUSIPCO_2026/IDIAP Zero frequency resonator based extraction of R-peaks in ECG signals Prasad, RaviShankar Yilmaz, Gürkan Magimai-Doss, Mathew ECG R-peak identification trend removal Zero frequency filtering EXTERNAL http://publications.idiap.ch/attachments/papers/2026/Prasad_EUSIPCO_2026.pdf PUBLIC Proceedings of EUSIPCO 2026 The electrocardiogram (ECG) signal has widely been used for cardiac health assessment, monitoring and diagnosis of pathological conditions. ECG signals are majorly characterized by the location of R–peaks, which appear as sudden discontinuities in the signal. Popular methods to identify the R–peak in QRS rely on adaptive thresholding a filtered or transformed ECG signal. Pertaining to its behavior, this paper presents a new approach to extraction of R–peak in ECG. The proposed method is based on zero frequency filtering (ZFF) of signals, a method proposed to extract the impulse–like excitation in speech signals. The method uses a sharp decaying resonator centered at 0 Hz is used to filter ECG. After a block–wise removal of the trend imparted by the ZFF, locations of the R–peaks are obtained at the positive–to–negative zero crossing locations of the filtered signal. The novelty of the method lies in the fact that it doesn’t rely heavily on transforms or adaptive thresholding to derive R–peak locations. We validate the proposed method on the publicly available MIT–BIH Arrhythmia ECG signal database. Our investigations show that the proposed method yields a performance competitive to the state–of–the–art methods.