Results 11 to 20 of about 30,789 (276)
FGANet: fNIRS-Guided Attention Network for Hybrid EEG-fNIRS Brain-Computer Interfaces [PDF]
IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2022 Non-invasive brain-computer interfaces (BCIs) have been widely used for neural decoding, linking neural signals to control devices. Hybrid BCI systems using electroencephalography (EEG) and functional near-infrared spectroscopy (fNIRS) have received ...
Youngchul Kwak +2 more
doaj +4 more sources
fNIRS-QC: Crowd-Sourced Creation of a Dataset and Machine Learning Model for fNIRS Quality Control [PDF]
Applied Sciences, 2021 Despite technological advancements in functional Near Infra-Red Spectroscopy (fNIRS) and a rise in the application of the fNIRS in neuroscience experimental designs, the processing of fNIRS data remains characterized by a high number of heterogeneous ...
Giulio Gabrieli +3 more
doaj +3 more sources
Measuring Mental Workload with EEG+fNIRS [PDF]
Frontiers in Human Neuroscience, 2017 We studied the capability of a Hybrid functional neuroimaging technique to quantify human mental workload (MWL). We have used electroencephalography (EEG) and functional near-infrared spectroscopy (fNIRS) as imaging modalities with 17 healthy subjects ...
Haleh Aghajani +2 more
doaj +4 more sources
Evidence of Top-Down Sensory Prediction in Neonates Within 2 Days of Birth. [PDF]
Dev SciABSTRACT Recent studies have demonstrated top‐down modulation in perceptual cortices in infants as young as 6 months. However, it is unclear when and how this ability emerges given conflicting evidence available. This study investigates top‐down perceptual modulation by focusing on a neural signature referred to as top‐down sensory prediction, where ...
Xiao NG, Robertson CE, Emberson LL.
europepmc +2 more sources
Best practices for fNIRS publications [PDF]
Neurophotonics, 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 experimental paradigms. With the rapid growth and the diversification of research methods, some inconsistencies
Yücel, Meryem A +21 more
openaire +9 more sources
Oscillator decomposition of infant fNIRS data
PLOS Computational Biology, 2022 The functional near-infrared spectroscopy (fNIRS) can detect hemodynamic responses in the brain and the data consist of bivariate time series of oxygenated hemoglobin (oxy-Hb) and deoxygenated hemoglobin (deoxy-Hb) on each channel. In this study, we investigate oscillatory changes in infant fNIRS signals by using the oscillator decompisition method ...
Takeru Matsuda +4 more
openalex +5 more sources
fNIRS improves seizure detection in multimodal EEG-fNIRS recordings [PDF]
Journal of Biomedical Optics, 2019 In the context of epilepsy monitoring, electroencephalography (EEG) remains the modality of choice. Functional near-infrared spectroscopy (fNIRS) is a relatively innovative modality that cannot only characterize hemodynamic profiles of seizures but also allow for long-term recordings.
Sirpal, Parikshat +4 more
openaire +2 more sources
Applied Sciences, 2020 We built a fiber-less prototype of an optical system with 156 channels each one consisting of an optode made of a silicon photomultiplier (SiPM) and a pair of light emitting diodes (LEDs) operating at 700 nm and 830 nm.
Giovanni Maira +6 more
doaj +1 more source
fNIRS and Neurocinematics [PDF]
Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems, 2019 In the overlap between Human-Computer Interaction (HCI) and Cinematics, sits an interest in physiological responses to experiences. Focusing particularly on brain data, Neurocinematics has emerged as a research field using Brain-Computer Interface (BCI) sensors.
Horia A. Maior +5 more
openaire +1 more source
Deep learning in fNIRS: a review
Neurophotonics, 2022 41 pages, 9 ...
Eastmond, Condell +3 more
openaire +3 more sources