Improving fNIRS Signal Quality Using Smoothing Filtering

Aleksandra Kawala-Sterniuk; Dariusz Mikolajewski; Luis A. Leiva; Tuukka Ruotsalo; Adam Lysiak; Barbara Grochowicz; Edward Jacek Gorzenariczyk; Adrian Luckiewicz; Anna Wieczorek; Mariusz Pelc

doi:10.1109/PAEE59932.2023.10244393

Improving fNIRS Signal Quality Using Smoothing Filtering

Aleksandra Kawala-Sterniuk, Dariusz Mikolajewski, Luis A. Leiva, Tuukka Ruotsalo, Adam Lysiak, Barbara Grochowicz, Edward Jacek Gorzenariczyk, Adrian Luckiewicz, Anna Wieczorek, Mariusz Pelc

Machine Learning

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

1 Citation (Scopus)

Abstract

Biomedical signals are extremely difficult to analyze, mainly due to the non-stationary nature of these signals. Filtering does not always bring the desired results, because often the desired information is filtered out. In the case of EEG signals, smoothing filters gave very good results. In this paper, various types of smoothing filters for the analysis of infrared spectroscopy signals were compared.

Original language	English
Title of host publication	2023 Progress in Applied Electrical Engineering, PAEE 2023
Publisher	IEEE
Publication date	2023
Pages	1-8
ISBN (Electronic)	9798350316254
DOIs	https://doi.org/10.1109/PAEE59932.2023.10244393
Publication status	Published - 2023
Event	2023 Progress in Applied Electrical Engineering, PAEE 2023 - Koscielisko, Poland Duration: 26 Jun 2023 → 30 Jun 2023

Conference

Conference	2023 Progress in Applied Electrical Engineering, PAEE 2023
Country/Territory	Poland
City	Koscielisko
Period	26/06/2023 → 30/06/2023
Sponsor	Polish Society of Theoretical and Applied Electrical Engineering (PTETiS), The Institute of Electrical and Electronics Engineers (IEEE), Warsaw University of Technology

Bibliographical note

Publisher Copyright:
© 2023 IEEE.

Keywords

brain signals
filtering
functional near-infrared spectroscopy
preprocessing
smoothing filtering

Access to Document

10.1109/PAEE59932.2023.10244393

Cite this

Improving fNIRS Signal Quality Using Smoothing Filtering. / Kawala-Sterniuk, Aleksandra; Mikolajewski, Dariusz; Leiva, Luis A.; Ruotsalo, Tuukka; Lysiak, Adam; Grochowicz, Barbara; Jacek Gorzenariczyk, Edward; Luckiewicz, Adrian; Wieczorek, Anna; Pelc, Mariusz.

2023 Progress in Applied Electrical Engineering, PAEE 2023. IEEE, 2023. p. 1-8.

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

Kawala-Sterniuk, A, Mikolajewski, D, Leiva, LA, Ruotsalo, T, Lysiak, A, Grochowicz, B, Jacek Gorzenariczyk, E, Luckiewicz, A, Wieczorek, A & Pelc, M 2023, Improving fNIRS Signal Quality Using Smoothing Filtering. in 2023 Progress in Applied Electrical Engineering, PAEE 2023. IEEE, pp. 1-8, 2023 Progress in Applied Electrical Engineering, PAEE 2023, Koscielisko, Poland, 26/06/2023. https://doi.org/10.1109/PAEE59932.2023.10244393

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