@ARTICLE{Bensegueni_Skander_A_2023,
 author={Bensegueni, Skander},
 volume={vol. 69},
 number={No 1},
 journal={International Journal of Electronics and Telecommunications},
 pages={33-39},
 howpublished={online},
 year={2023},
 publisher={Polish Academy of Sciences Committee of Electronics and Telecommunications},
 abstract={A new method of Electrocardiogram (ECG) features extraction is proposed in this paper. The purpose of this study is to detect the main characteristics of the signal: P, Q, R, S, and T, then localize and extract its intervals and segments. To do so we first detect peaks, onsets and offsets of the signal's waveform by calculating the slope change (SC) coefficients and consequently, the peaks of the signal are determined. The SC coefficients are based on the calculation of the integral of two-scale signals with opposite signs. The simulation results of our algorithm applied on recordings of MIT-BIH arrhythmia electrocardiogram database show that the proposed method delineates the electrocardiogram waveforms and segments with high precision.},
 type={Article},
 title={A New Method for Electrocardiogram Features Extraction Using Slope Change Coefficients},
 URL={http://ochroma.man.poznan.pl/Content/126536/PDF/5.pdf},
 doi={10.24425/ijet.2023.144328},
 keywords={ECG waveform peaks, ECG segments and intervals, Slope change coefficients},
}