Results 181 to 190 of about 579,587 (260)

Approaches based on nonlinear Kalman filtering to deal with physiological noise in the estimation of the hemodynamic response from functional near-infrared spectroscopy data [PDF]

This thesis proposes a novel algorithm based on nonlinear Kalman filtering to reduce physiological noise that contaminates functional near-infrared spectroscopy (fNIRS) signals and improve the estimation of the hemodynamic response.

core  

Effect of Aesthetic Images on a Population with Mild Cognitive Decline: An Electroencephalography/Functional Near-Infrared Spectroscopy Study

Proceedings
Neuroaesthetics is a relatively young field that connects neuroscience with empirical aesthetics and originates in the neurological theory of aesthetic experience.
Livio Clemente, Marianna La Rocca, Marianna Delussi, Giusy Tancredi, Katia Ricci, Giuseppe Procida, Antonio Brunetti, Vitoantonio Bevilacqua, Marina de Tommaso   +8 more
doaj   +1 more source

Characteristics of resting state functional connectivity of motor cortex of high fitness level college students: Experimental evidence from functional near infrared spectroscopy (fNIRS). [PDF]

Brain Behav, 2023
Li W, Zhang Q, Yang R, Liu B, Chen G, Wang B, Xu T, Chen J, Zhou X, Wen S.   +9 more
europepmc   +1 more source

Functional near-infrared spectroscopy (fNIRS) and Eye tracking for Cognitive Load classification in a Driving Simulator Using Deep Learning [PDF]

arXiv
Motion simulators allow researchers to safely investigate the interaction of drivers with a vehicle. However, many studies that use driving simulator data to predict cognitive load only employ two levels of workload, leaving a gap in research on employing deep learning methodologies to analyze cognitive load, especially in challenging low-light ...
arxiv  

The analgesic effect of different interactive modes of virtual reality: A prospective functional near-infrared spectroscopy (fNIRS) study. [PDF]

Front Neurosci, 2022
Deng X, Jian C, Yang Q, Jiang N, Huang Z, Zhao S.   +5 more
europepmc   +1 more source

Differentiating people with schizophrenia from healthy controls in a developing Country: An evaluation of portable functional near infrared spectroscopy (fNIRS) as an adjunct diagnostic tool. [PDF]

Front Psychiatry, 2023
Tran BX, Nguyen TT, Boyer L, Fond G, Auquier P, Nguyen HSA, Tran HTN, Nguyen HM, Choi J, Le HT, Latkin CA, Nathan KI, Husain SF, McIntyre RS, Ho CSH, Zhang MWB, Ho RCM.   +16 more
europepmc   +1 more source

Multimodal Physiological Signals Representation Learning via Multiscale Contrasting for Depression Recognition [PDF]

arXiv
Depression recognition based on physiological signals such as functional near-infrared spectroscopy (fNIRS) and electroencephalogram (EEG) has made considerable progress. However, most existing studies ignore the complementarity and semantic consistency of multimodal physiological signals under the same stimulation task in complex spatio-temporal ...
arxiv  

Block-As-Domain Adaptation for Workload Prediction from fNIRS Data [PDF]

arXiv
Functional near-infrared spectroscopy (fNIRS) is a non-intrusive way to measure cortical hemodynamic activity. Predicting cognitive workload from fNIRS data has taken on a diffuse set of methods. To be applicable in real-world settings, models are needed, which can perform well across different sessions as well as different subjects.
arxiv  

Toward Adaptation of fNIRS Instrumentation to Airborne Environments [PDF]

The paper reviews potential applications of functional Near-Infrared Spectroscopy (fNIRS), a well-known medical diagnostic technique, to monitoring the cognitive state of pilots with a focus on identifying ways to adopt this technique to airborne ...
Adamovsky, Grigory, Floyd, Bertram, Harrivel, Angela, Hearn, Tristan, Mackey, Jeffrey   +4 more
core   +1 more source

A functional Near-Infrared Spectroscopy study (fNIRS) of the relationship between glucose regulation and divided attention in older adults

, 2010
Louis Bherer
openalex   +1 more source