Evaluation of a combined approach for denoising ECG measurements using unconventional sensors

Dore, Henry, Aviles-Espinosa, Rodrigo Amador and Rendon-Morales, Elizabeth (2023) Evaluation of a combined approach for denoising ECG measurements using unconventional sensors. Computing in Cardiology 2022, Tampere, Finland, September 4-7 2022. Published in: Proceedings of the Computing in Cardiology 2022. IEEE ISSN 2325-887X ISBN 9798350300970

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The human electrocardiogram is a key indicator to examine the electrical heart condition and function. A common problem is that its recording can be impacted by external sources of noise. In this paper, we focus on the reduction of powerline interference in ECG measurements using a combined approach. We discuss the typical noise types affecting ECG recordings and describe several filtering techniques currently used to denoise ECG measurements. We propose an approach that combines unconventional ECG electric field sensors with Wiener filtering to improve the ECG denoising performance. Validation tests are performed though an experimental system using both pre-recorded ECG and ambient noise signals. We show that our approach can lead to an overall improved noise cancelling and the corresponding retrieval of the desired ECG signal reducing the noise levels from – 25dB down to -52dB.ζ

Item Type: Conference Proceedings
Keywords: denosing techniques, ECG, sensors, Power Line Interference
Schools and Departments: School of Engineering and Informatics > Engineering and Design
SWORD Depositor: Mx Elements Account
Depositing User: Mx Elements Account
Date Deposited: 06 Sep 2022 14:00
Last Modified: 03 May 2023 10:56
URI: http://sro.sussex.ac.uk/id/eprint/107802

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