Improving fNIRS Signal Quality Using Smoothing Filtering

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

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

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 languageEnglish
Title of host publication2023 Progress in Applied Electrical Engineering, PAEE 2023
Publication date2023
ISBN (Electronic)9798350316254
Publication statusPublished - 2023
Event2023 Progress in Applied Electrical Engineering, PAEE 2023 - Koscielisko, Poland
Duration: 26 Jun 202330 Jun 2023


Conference2023 Progress in Applied Electrical Engineering, PAEE 2023
SponsorPolish 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.

    Research areas

  • brain signals, filtering, functional near-infrared spectroscopy, preprocessing, smoothing filtering

ID: 383790128