APPLICATION OF LOCAL INTERPOLATION CUBIC SPLINE MODEL BUILT IN UNEQUAL INTERVALS

The processes of interpolation of biomedical signals obtained as a result of experimental studies are carried out using the local cubic spline model proposed in this work. The obtained results show that cubic spline models give good results in digital signal processing, which ensures that specialists make the right decision (diagnosis) as a result of digital signal processing in a certain field (in the field of medicine). The initial values of the ECG signal were digitally processed for the study. The obtained results are graphically displayed and the error results are evaluated [1,2]. The closeness of the reconstructed signal values to the original signal amplitudes and the very low error ensure the model's performance. In addition, accuracy is very important in the field of medicine. In medicine, accuracy plays an important role in processes such as determining the current condition of a patient brought to the hospital in critical condition, determining the type of disease, and determining the degree of the disease [3,5]. Increasing the degree of convergence of the models considered in this work does not depend on increasing the order of the system of equations.