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

и другие.

Опубликована: Июнь 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.

Язык: Английский

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

и другие.

Information Fusion, Год журнала: 2023, Номер 96, С. 252 - 268

Опубликована: Март 31, 2023

Язык: Английский

Процитировано

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

Ana María Arias

и другие.

Опубликована: Янв. 1, 2024

Язык: Английский

Процитировано

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

и другие.

Neuropediatrics, Год журнала: 2024, Номер 55(04), С. 241 - 249

Опубликована: Фев. 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.

Язык: Английский

Процитировано

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

и другие.

Опубликована: Авг. 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.

Язык: Английский

Процитировано

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

и другие.

Опубликована: Июнь 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.

Язык: Английский

Процитировано

0