Improving fNIRS Signal Quality Using Smoothing Filtering

Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

  • 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.

OriginalsprogEngelsk
Titel2023 Progress in Applied Electrical Engineering, PAEE 2023
ForlagIEEE
Publikationsdato2023
Sider1-8
ISBN (Elektronisk)9798350316254
DOI
StatusUdgivet - 2023
Begivenhed2023 Progress in Applied Electrical Engineering, PAEE 2023 - Koscielisko, Polen
Varighed: 26 jun. 2023 → 30 jun. 2023

Konference

Konference2023 Progress in Applied Electrical Engineering, PAEE 2023
LandPolen
ByKoscielisko
Periode26/06/2023 → 30/06/2023
SponsorPolish Society of Theoretical and Applied Electrical Engineering (PTETiS), The Institute of Electrical and Electronics Engineers (IEEE), Warsaw University of Technology

Bibliografisk note

Funding Information:
Project BANANA is supported by the Horizon 2020 FET program of the European Union through the ERA-NET Cofund funding grant CHIST-ERA-20-BCI-001 and the National Science Centre, Poland, under Grant Agreement no. 2021/03/Y/ST7/00008.

Publisher Copyright:
© 2023 IEEE.

ID: 383790128