Improving fNIRS Signal Quality Using Smoothing Filtering-Reference-Cited by-同舟云学术

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Improving fNIRS Signal Quality Using Smoothing Filtering

Published:2023-06-26 Issue: Volume: Page:
ISSN:
Container-title:2023 Progress in Applied Electrical Engineering (PAEE)
language:
Short-container-title:

Author:

Kawala-Sterniuk Aleksandra¹,Mikołajewski Dariusz²,Leiva Luis A.³,Ruotsalo Tuukka⁴,Lysiak Adam¹,Grochowicz Barbara¹,Jacek Gorzeńariczyk Edward⁵,Luckiewicz Adrian¹,Wieczorek Anna¹,Pelc Mariusz¹

Affiliation:

1. Automatic Control and Informatics Opole University of Technology,Faculty of Electrical Engineering,Opole,Poland

2. Institute of Computer Science Kazimierz Wielki University,Bydgoszcz,Poland

3. University of Luxembourg Luxembourg,Department of Computer Science,Luxembourg

4. University of Helsinki,Denmark

5. Institute of Philosophy Kazimiez Wielki University,Bydgoszcz,Poland

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10244174/10244264/10244393.pdf?arnumber=10244393

Reference53 articles.

1. Principles, Techniques, and Limitations of Near Infrared Spectroscopy

2. Functional Near-Infrared Spectroscopy (fNIRS): Principles and Neuroscientific Applications

3. Application of functional near-infrared spectroscopy in psychiatry

4. Mobile cognition: imaging the human brain in the ‘real world’

5. Novel Hybrid Extraction Systems for Fetal Heart Rate Variability Monitoring Based on Non-Invasive Fetal Electrocardiogram

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