Abstract
Despite knowing the electrogastrography (EGG) for many years, there are still open issues regarding its measurement and processing. In the comparison with other electrophysiological signals, like is electrocardiography (ECG), we still miss a unified scheme for the placement of electrodes and EGG evaluation. In this paper, we analyze the possibilities of the Wavelet transformation for elimination of the ECG influence in the EGG records with the goal to obtain the EGG trend signal. In our analysis, we tested different settings of Wavelet based smoothing to evaluate an optimal setting for the Wavelet based smoothing filter. In this study, we bring an objective evaluation of the comparative analysis of individual Wavelet filters with the goal the EGG trend detection. EGG activity was measured via standardized laboratory conditions with system g.tec. All the measurements were done for set of 10 volunteers who consumed predefined same food to observe the gastric waves as for an empty stomach, and specific groceries.
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Acknowledgement
The work and the contributions were supported by the project SV450994/2101Biomedical Engineering Systems XV’. This study was also supported by the research project The Czech Science Foundation (GACR) 2017 No. 17-03037S Investment evaluation of medical device development run at the Faculty of Informatics and Management, University of Hradec Kralove, Czech Republic. This study was supported by the research project The Czech Science Foundation (TACR) ETA No. TL01000302 Medical Devices development as an effective investment for public and private entities.
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Kubicek, J. et al. (2020). A Proposal of Optimal Wavelet Based Smoothing for EGG Signal Trend Detection. In: Sitek, P., Pietranik, M., Krótkiewicz, M., Srinilta, C. (eds) Intelligent Information and Database Systems. ACIIDS 2020. Communications in Computer and Information Science, vol 1178. Springer, Singapore. https://doi.org/10.1007/978-981-15-3380-8_21
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DOI: https://doi.org/10.1007/978-981-15-3380-8_21
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