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Evaluation of a combined approach for denoising ECG measurements using unconventional sensors
conference contribution
posted on 2023-06-10, 04:40 authored by Henry DoreHenry Dore, Rodrigo Amador Aviles-EspinosaRodrigo Amador Aviles-Espinosa, Elizabeth Rendon-MoralesElizabeth Rendon-MoralesThe 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.?
History
Publication status
- Published
File Version
- Accepted version
Journal
Proceedings of the Computing in Cardiology 2022ISSN
2325-887XPublisher
IEEEExternal DOI
Event name
Computing in Cardiology 2022Event location
Tampere, FinlandEvent type
conferenceEvent date
September 4-7 2022ISBN
9798350300970Department affiliated with
- Engineering and Design Publications
Full text available
- Yes
Peer reviewed?
- Yes
Legacy Posted Date
2022-09-06First Open Access (FOA) Date
2023-05-03First Compliant Deposit (FCD) Date
2022-09-06Usage metrics
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