Results 31 to 40 of about 308,857 (141)

Scientists' perspectives on ethical issues in research with emerging portable neuroimaging technology: The need for guidance on ethical, legal, and societal implications (ELSI)

open access: yesNMR in Biomedicine, Volume 37, Issue 12, December 2024.
Abstract Deployment of new, more portable, and less costly neuroimaging technologies such as portable magnetoencephalography, electroencephalography, positron emission tomography, functional near‐infrared spectroscopy, high‐density diffuse optical tomography, and magnetic resonance imaging is advancing rapidly.
Frances Daniels   +4 more
wiley   +1 more source

Functional Brain Imaging of Multi-sensory Vestibular Processing during Computerized Dynamic Posturography using Near-Infrared Spectroscopy

open access: yesNeuroImage, 2013
Functional near-infrared spectroscopy (fNIRS) is a non-invasive brain imaging method that uses light to record regional changes in cerebral blood flow in the cortex during activation.
H. Karim   +4 more
semanticscholar   +1 more source

Cross-Subject Emotion Recognition Brain–Computer Interface Based on fNIRS and DBJNet

open access: yesCyborg and Bionic Systems, 2023
Functional near-infrared spectroscopy (fNIRS) is a noninvasive brain imaging technique that has gradually been applied in emotion recognition research due to its advantages of high spatial resolution, real time, and convenience.
Xiao-Peng Si   +3 more
semanticscholar   +1 more source

Wearable, high-density fNIRS and diffuse optical tomography technologies: a perspective

open access: yesNeurophotonics, 2023
. Recent progress in optoelectronics has made wearable and high-density functional near-infrared spectroscopy (fNIRS) and diffuse optical tomography (DOT) technologies possible for the first time.
Ernesto E. Vidal-Rosas   +3 more
semanticscholar   +1 more source

Viewing videos of different Social Relationship interactions: fNIRS and Social Relationship Data

open access: yes, 2019
In this study, participants were shown three video clips depicting a male-female pair either eating, exercising or baking together. Prior to the onset of each video, participants were told whether the pair of actors were friends, siblings or romantic ...
Esposito, Gianluca
core   +1 more source

fNIRS-EEG BCIs for Motor Rehabilitation: A Review

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 ...
Jia-Nan Chen   +8 more
semanticscholar   +1 more source

Best practices for fNIRS publications [PDF]

open access: yes, 2021
The application of functional near-infrared spectroscopy (fNIRS) in the neurosciences has been expanding over the last 40 years. Today, it is addressing a wide range of applications within different populations and utilizes a great variety of ...
Eggebrecht, A.   +75 more
core   +2 more sources

Early-stage fusion of EEG and fNIRS improves classification of motor imagery

open access: yesFrontiers in Neuroscience, 2023
Introduction Many research papers have reported successful implementation of hybrid brain-computer interfaces by complementarily combining EEG and fNIRS, to improve classification performance.
Yang Li, Xin Zhang, Ming Dong
semanticscholar   +1 more source

Simultaneous multimodal fNIRS-EEG recordings reveal new insights in neural activity during motor execution, observation, and imagery

open access: yesScientific Reports, 2023
Motor execution, observation, and imagery are important skills used in motor learning and rehabilitation. The neural mechanisms underlying these cognitive-motor processes are still poorly understood.
Wan-Chun Su   +11 more
semanticscholar   +1 more source

Sviluppo di un nuovo algoritmo basato sul General Linear Model per la stima della risposta emodinamica da segnali di spettroscopia funzionale nel vicino infrarosso (fNIRS) [PDF]

open access: yes, 2022
Il lavoro di tesi si propone di sviluppare un nuove algoritmo basato sul General Linear Model (GLM) per la stima della risposta emodinamica (HRF) da segnali di spettroscopia funzionale nel vicino infrarosso (fNIRS).
Fabris, Chiara
core  

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