ML-Powered Biomedical Signals Processing using Hybrid Filters

This paper deals with the problem of signals filtering using hybrid filters. Such solutions may prove to be especially beneficial in the context of biomedical signals filtering where the signals' amplitudes are typically not very high and they can be easily affected by different kinds of distur...

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Bibliographic Details
Published in2024 Progress in Applied Electrical Engineering (PAEE) pp. 1 - 5
Main Authors Pelc, Mariusz, Mikolajewski, Dariusz, Mendon, Patryk, Luckiewicz, Adrian, Sudol, Adam, Gorzelanczyk, Edward Jacek, Kawala-Sterniuk, Aleksandra
Format Conference Proceeding
LanguageEnglish
Published IEEE 24.06.2024
Subjects
Biological system modeling
Biomedical communication
cascade filtering
Electrical engineering
Filters
functional near-infrared spectroscopy
Machine Learning
signal processing
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Summary:This paper deals with the problem of signals filtering using hybrid filters. Such solutions may prove to be especially beneficial in the context of biomedical signals filtering where the signals' amplitudes are typically not very high and they can be easily affected by different kinds of disturbances. Having a number of different types of filters tuned for some specific purposes we will show how the best filter choice is affected by selecting one ML model over another.
ISSN:2837-8326
DOI:10.1109/PAEE63906.2024.10701444