Results 31 to 40 of about 11,155 (181)

Application of functional near-infrared spectroscopy in the healthcare industry: A review [PDF]

open access: yesJournal of Innovative Optical Health Sciences, 2019
Functional near-infrared spectroscopy (fNIRS), a growing neuroimaging modality, has been utilized over the past few decades to understand the neuronal behavior in the brain. The technique has been used to assess the brain hemodynamics of impaired cohorts
Keum-Shik Hong, M. Atif Yaqub
doaj   +1 more source

Concurrent fNIRS and EEG for Brain Function Investigation: A Systematic, Methodology-Focused Review

open access: yesSensors, 2022
Electroencephalography (EEG) and functional near-infrared spectroscopy (fNIRS) stand as state-of-the-art techniques for non-invasive functional neuroimaging.
Rihui Li   +5 more
doaj   +1 more source

Preventing Pediatric Chronic Postsurgical Pain: Time for Increased Rigor

open access: yesCanadian Journal of Pain, 2022
Chronic postsurgical pain (CPSP) results from a cascade of events in the peripheral and central nervous system following surgery. Several clinical predictors, including the prior pain state, premorbid psychological state (e.g., anxiety, catastrophizing),
Christine B. Sieberg   +3 more
doaj   +1 more source

A review on functional near-infrared spectroscopy and application in stroke rehabilitation

open access: yesMedicine in Novel Technology and Devices, 2021
Functional near-infrared spectroscopy (fNIRS) has gained great interest as a noninvasive modality to study the changes in cerebral hemodynamics related to brain activity.
Congcong Huo   +6 more
doaj   +1 more source

Scale invariance in fNIRS as a measurement of cognitive load [PDF]

open access: yesCortex, 2021
Abstract Scale invariant neural dynamics are a relatively new but effective means of measuring changes in brain states as a result of varied cognitive load and task difficulty. This study is the first to test whether scale invariance (as measured by the Hurst exponent, H ) can be ...
Chu Zhuang   +7 more
openaire   +2 more sources

Comparing Multi-Dimensional fNIRS Features Using Bayesian Optimization-Based Neural Networks for Mild Cognitive Impairment (MCI) Detection

open access: yesIEEE Transactions on Neural Systems and Rehabilitation Engineering, 2023
The diagnosis of mild cognitive impairment (MCI), a prodromal stage of Alzheimer’s disease (AD), is essential for initiating timely treatment to delay the onset of AD.
Chutian Zhang   +10 more
doaj   +1 more source

Sleep Is a Refreshing Process: An fNIRS Study [PDF]

open access: yesFrontiers in Human Neuroscience, 2019
Sleep is a very critical process that constitutes up to one third of daytime of a healthy adult. It is known to be an active period where body and brain is refreshed for the next day. It is both part of a larger cycle, i.e., circadian rhythm, and has subcsycles in it, i.e., sleep stages.
Adile Oniz   +7 more
openaire   +4 more sources

fNIRS-EEG BCIs for Motor Rehabilitation: A Review [PDF]

open access: yesBioengineering, 2023
Motor impairment has a profound impact on a significant number of individuals, leading to a substantial demand for rehabilitation services. Through brain–computer interfaces (BCIs), people with severe motor disabilities could have improved communication with others and control appropriately designed robotic prosthetics, so as to (at least partially ...
Jianan Chen   +8 more
openaire   +5 more sources

Portable wireless and fibreless fNIRS headband compares favorably to a stationary headcap-based system.

open access: yesPLoS ONE, 2022
This study's purpose is to characterize the performance of a prototype functional near-infrared spectroscopy (fNIRS) headband meant to enable quick and easy measurements from the sensorimotor cortices.
Christopher L Friesen   +7 more
doaj   +1 more source

Bimodal EEG-fNIRS in Neuroergonomics. Current Evidence and Prospects for Future Research

open access: yesFrontiers in Neuroergonomics, 2022
Neuroergonomics focuses on the brain signatures and associated mental states underlying behavior to design human-machine interfaces enhancing performance in the cognitive and physical domains.
Nicolas J. Bourguignon   +3 more
doaj   +1 more source

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