Electrocardiogram (ECG) signals is widely used as one of the common procedures for heart's disease diagnose. Since electrical signals generated by biological sources have low level, they are destroyed by interference. Therefore, it is difficult to achieve high resolution electrical signals. A new approach based on non-polynomial cubic spline has been developed to approximate the ECG signal. The Efficiency of proposed method is analyzed by simulation results and filter evaluation metrics.
Molavi-Arabshahi, M. , Jalil, R. and Yousefi, M. (2022). A new mathematical model for reconstruction ECG signal based on non-polynomial cubic spline. Journal of Mathematical Modeling, 10(1), 107-117. doi: 10.22124/jmm.2021.18796.1609
MLA
Molavi-Arabshahi, M. , , Jalil, R. , and Yousefi, M. . "A new mathematical model for reconstruction ECG signal based on non-polynomial cubic spline", Journal of Mathematical Modeling, 10, 1, 2022, 107-117. doi: 10.22124/jmm.2021.18796.1609
HARVARD
Molavi-Arabshahi, M., Jalil, R., Yousefi, M. (2022). 'A new mathematical model for reconstruction ECG signal based on non-polynomial cubic spline', Journal of Mathematical Modeling, 10(1), pp. 107-117. doi: 10.22124/jmm.2021.18796.1609
CHICAGO
M. Molavi-Arabshahi , R. Jalil and M. Yousefi, "A new mathematical model for reconstruction ECG signal based on non-polynomial cubic spline," Journal of Mathematical Modeling, 10 1 (2022): 107-117, doi: 10.22124/jmm.2021.18796.1609
VANCOUVER
Molavi-Arabshahi, M., Jalil, R., Yousefi, M. A new mathematical model for reconstruction ECG signal based on non-polynomial cubic spline. Journal of Mathematical Modeling, 2022; 10(1): 107-117. doi: 10.22124/jmm.2021.18796.1609
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