Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Establishment and Application of Recursive Digital Processing Algorithm with Difference Analysis-Based Parameter Setting and Difference Feedback

Version 1 : Received: 18 June 2024 / Approved: 19 June 2024 / Online: 19 June 2024 (05:53:22 CEST)

How to cite: Xia, T.; Wang, B.; Huang, E.; Jiang, H.; Zhang, L.; Liu, M.; Chang, C.-C.; Sun, Y. Establishment and Application of Recursive Digital Processing Algorithm with Difference Analysis-Based Parameter Setting and Difference Feedback. Preprints 2024, 2024061307. https://doi.org/10.20944/preprints202406.1307.v1 Xia, T.; Wang, B.; Huang, E.; Jiang, H.; Zhang, L.; Liu, M.; Chang, C.-C.; Sun, Y. Establishment and Application of Recursive Digital Processing Algorithm with Difference Analysis-Based Parameter Setting and Difference Feedback. Preprints 2024, 2024061307. https://doi.org/10.20944/preprints202406.1307.v1

Abstract

Signal preprocessing and feature extraction are two important and necessary steps of data analysis. In signal analysis, typically these two steps are implemented through multiple algorithms. Moreover, the significant parameters in most algorithms are set empirically. We have developed an algorithm that can preserve and highlight characteristic waveforms while attenuating non-feature waveforms. The parameters in the algorithm are set through difference analysis. We have conducted experiments on both clinical and open-source ECG data, obtaining effective test results.

Keywords

Algorithm Model; Signal Processing; Signal Smoothing; Feature Localization

Subject

Computer Science and Mathematics, Computational Mathematics

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