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An experimental method for bio-signal denoising using unconventional sensors
journal contribution
posted on 2023-06-10, 06:35 authored by Rodrigo Amador Aviles-EspinosaRodrigo Amador Aviles-Espinosa, Henry DoreHenry Dore, Elizabeth Rendon-MoralesElizabeth Rendon-MoralesIn bio-signal denoising, current methods reported in literature consider purely simulated envi-ronments, requiring high computational powers and signal processing algorithms that may in-troduce signal distortion. To achieve an efficient noise reduction, such methods require previous knowledge of the noise signals or to have certain periodicity and stability, making the noise es-timation difficult to predict. In this paper, we solve these challenges through the development of an experimental method applied for bio-signal denoising using a combined approach. This is based on the implementation of unconventional electric field sensors used for creating a noise replica required to obtain the ideal Wiener filter transfer function and achieve further noise reduction. This work aims to investigate the suitability of the proposed approach for the real-time noise reduction affecting bio-signal recordings. The experimental evaluation presented considers two scenarios: a) human bio-signals trials including electrocardiogram, electromyogram and elec-trooculogram; and b) bio-signal recordings from the MIT-MIH arrhythmia database. The per-formance of the proposed method is evaluated using qualitative (i.e. power spectral density) and quantitative criteria (i.e. signal-to-noise ratio and mean square error) followed by a comparison between the proposed methodology and state of the art denoising methods. The results indicate that the combined approach proposed in this paper can be used for noise reduction in electro-cardiogram, electromyogram and electrooculogram signals achieving noise attenuation levels of 26.4 dB, 21.2 dB and 40.8 dB, respectively.
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Publication status
- Published
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- Published version
Journal
MDPI SENSORSISSN
1424-8220Publisher
MDPIExternal DOI
Issue
7Volume
23Page range
1-12Department affiliated with
- Engineering and Design Publications
Full text available
- Yes
Peer reviewed?
- Yes
Legacy Posted Date
2023-03-28First Open Access (FOA) Date
2023-03-28First Compliant Deposit (FCD) Date
2023-03-27Usage metrics
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