Improving fNIRS Signal Quality Using Smoothing Filtering DOI
Aleksandra Kawala-Sterniuk, Dariusz Mikołajewski, Luis A. Leiva

et al.

Published: June 26, 2023

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

Language: Английский

Epilepsy detection in 121 patient populations using hypercube pattern from EEG signals DOI
İrem Taşçı, Burak Taşçı, Prabal Datta Barua

et al.

Information Fusion, Journal Year: 2023, Volume and Issue: 96, P. 252 - 268

Published: March 31, 2023

Language: Английский

Citations

53
Fetal Alcohol Spectrum Disorders DOI
Virginia Leonor Herbas Pacheco, P.A. Márquez Aguilar,

Ana María Arias

et al.

Published: Jan. 1, 2024

Language: Английский

Citations

7
Reduced Interhemispheric Coherence and Cognition in Children with Fetal Alcohol Spectrum Disorder (FASD)—A Quantitative EEG Study DOI Creative Commons
Thorsten Gerstner, Oliver Henning,

Gro C. Løhaugen

et al.

Neuropediatrics, Journal Year: 2024, Volume and Issue: 55(04), P. 241 - 249

Published: Feb. 6, 2024

Magnetic resonance imaging in fetal alcohol spectrum disorder (FASD) children showed altered connectivity, suggesting underlying deficits networks, which may be related to cognitive outcome. Functional connectivity has been of interest neurophysiological research with quantitative electroencephalography (QEEG) as useful tool for measuring pathology, not detectable by normal EEG. The aim this study was investigate differences the EEG interhemispheric coherence (ICoh) diagnosed FASD compared healthy controls and relate results scores.

Language: Английский

Citations

0
Custom-made Near Infrared Spectroscope as a Tool for Obtaining Information Regarding the Brain Condition DOI
A. Wieczorek, Edward Jacek Gorzelańczyk, Mariusz Pelc

et al.

Published: Aug. 22, 2023

We can obtain valuable information about the human brain using functional Near Infrared Spectroscopy (fNIRS). This paper describes theoretical basis associated with this neuroimaging method through a custom-made prototype of single-channel fNIRS device. The optodes were soldered to milled Printed Circuit Board (PCB) and enclosed in 3D printed housing. Using device, we performed preliminary study measure emotional responses from participants. Our results suggest that allows for accurate measurement emotions evoked by positive negative images.

Language: Английский

Citations

0
Improving fNIRS Signal Quality Using Smoothing Filtering DOI
Aleksandra Kawala-Sterniuk, Dariusz Mikołajewski, Luis A. Leiva

et al.

Published: June 26, 2023

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

Language: Английский

Citations

0