| Issue |
ITM Web Conf.
Volume 40, 2021
International Conference on Automation, Computing and Communication 2021 (ICACC-2021)
|
|
|---|---|---|
| Article Number | 01010 | |
| Number of page(s) | 7 | |
| Section | Automation | |
| DOI | https://doi.org/10.1051/itmconf/20214001010 | |
| Published online | 09 August 2021 | |
EEG Signal Enhancement Using OWA Filter
Department of Electronics Engineering, Ramrao Adik Institute of Technology, Nerul, Navi Mumbai, 400706, India
Biomedical signal monitoring and recording are an integral part of medical diagnosis and treatment control mechanisms. For this, enhanced signals with appropriate peak preservation are required. The OWA (OrderedWeighted Aggregation) Filter used in this paper helps in non-linear signal filtering and preservation of peaks for accurate medical diagnosis. Weights are an important aspect of the OWA filter, the Gaussian method and the KDE (Kernel Density Estimation) function are used to obtain a precise output which helps in filtering the signal. This filter is further compared with another non-linear filter that is the median filter to understand the compatibility and the preciseness of the filter in a much deeper sense.
OWA | filter | peak | kernel density estimation | probability density | EPD (Estimated Probability Density)
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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