Author/Authors :
Molavi-Arabshahi, Mahboubeh School of Mathematics - Iran University of Science and Technology, Narmak, Tehran, Iran , Rashidinia, Jalil School of Mathematics - Iran University of Science and Technology, Narmak, Tehran, Iran , Yousefi, Mahnaz School of Mathematics - Iran University of Science and Technology, Narmak, Tehran, Iran
Abstract :
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 de-
stroyed 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.
Keywords :
ECG signal , noise , non-polynomial cubic spline , mathematical model
