Why the study?
Low-level biological ECG signals are easily destroyed by interference, making high-resolution signals difficult to achieve.
A new mathematical model using non-polynomial cubic spline was developed to approximate and reconstruct ECG signals to achieve high resolution.
Does not warrant changes to clinical ECG analysis; leaves open real-patient validation of non-polynomial cubic splines.
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.
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Molavi‐Arabshahi et al. (2021) studied this question.
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