Biomedical signals interpolation spline models
Zayniddinov Xakimjon, Azimov Bunyod · 2019 International Conference on Information Science and Communications Technologies (ICISCT) · 2019
This article is devoted to the study of the properties of Biomedicine signals and the construction of splayn models, which are considered important in signal processing. The cube spline models signals of biomedicine interpretive high rate of accuracy, If this is the case, treating infected patients can make the right decision as appropriate. As an example, it was taken initial experimental information of ECG signals and based on this information, a local interpolation cubic spline model was constructed. The process of interpolation of ECG signal carried out with the help of this model.