Pulse wave signal preprocessing based on improved threshold

Hengjun Zhu; Lihao Ma

doi:10.1117/12.3038705

22 July 2024 Pulse wave signal preprocessing based on improved threshold

Hengjun Zhu, Lihao Ma

Author Affiliations +

Proceedings Volume 13222, International Conference on Signal Processing and Communication Security (ICSPCS 2024); 132220N (2024) https://doi.org/10.1117/12.3038705
Event: Third International Conference on Signal Processing and Communication Security (ICSPCS 2024), 2024, Chengdu, China

Abstract

In order to overcome the interference caused by high-frequency noise and baseline drift when collecting pulse wave signals, this paper proposes a combination filter to preprocess the signal based on the traditional wavelet function denoising principle and threshold optimization rules. First, employ a digital low pass filtering technique to eliminate the power frequency disturbances present in the initial pulse wave signal.; second, improve the classical wavelet thresholding method and design an adjustable threshold function with flexibility and continuity; third, by establishing evaluation parameters, improved wavelet threshold algorithm for effect evaluation. Experimental results show that compared with traditional methods, the method proposed in this article has a good denoising effect on real pulse wave signals.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Hengjun Zhu and Lihao Ma "Pulse wave signal preprocessing based on improved threshold", Proc. SPIE 13222, International Conference on Signal Processing and Communication Security (ICSPCS 2024), 132220N (22 July 2024); https://doi.org/10.1117/12.3038705

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