Title: ICG signal noise cancellation algorithms for non-invasive hemodynamic monitoring

Authors: Hadjer Benabdallah; Salim Kerai

Addresses: Biomedical Engineering Laboratory, Faculty of Technology, Tlemcen University, Algeria ' Biomedical Engineering Laboratory, Faculty of Technology, Tlemcen University, Algeria

Abstract: Impedance cardiography (ICG) non-invasive technique is a new way in the medical field, used for diagnosis and monitoring of cardiovascular disorders. The signal processing domain developed several denoising techniques applied for the cancellation of respiratory and movements' artefacts that corrupted the acquired signal shape. For this main purpose, our paper is based on a comparative study between different type of adaptive filters and Savitzky-Golay (SG) filtering, those are applied to the sensed impedance to noise removal for hemodynamic parameters monitoring. The results demonstrated in this work are more suitable; it confirmed that the proposed SG denoising filter outperformed the other techniques cited in state-of-art in terms of preserving information carried over on the signal when the mean error rate of the SG technique is equal to 0.00038%.

Keywords: impedance cardiography; ICG; adaptive filters; Savitzky-Golay; mean error rate.

DOI: 10.1504/IJMEI.2023.130728

International Journal of Medical Engineering and Informatics, 2023 Vol.15 No.3, pp.213 - 220

Received: 23 Oct 2020
Accepted: 11 Apr 2021
Published online: 04 May 2023 *

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