Multidimensional analysis of brain activation patterns in different motor therapies using functional near-infrared spectroscopy. [PDF]
Lin XM +6 more
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Machine Learning Based Identification of Depressive Symptoms Among Students in a Chinese University Using Functional Near-Infrared Spectroscopy. [PDF]
Wei Y +12 more
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Riemannian geometry boosts functional near-infrared spectroscopy-based brain-state classification accuracy. [PDF]
Näher T +5 more
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Investigating the effect of channel pruning on functional near-infrared spectroscopy data collected from children aged 5 to 24 months. [PDF]
Beaton S +8 more
europepmc +1 more source
Advancing pain assessment in Alzheimer's disease and related dementias: Functional near-infrared spectroscopy for investigating brain activity. [PDF]
Park J +10 more
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Functional near-infrared spectroscopy
IEEE Engineering in Medicine and Biology Magazine, 2006The purpose of the this article is to describe an emerging neuroimaging technology, functional near-infrared spectroscopy (fNIRs), which has several attributes that make it possible to conduct neuroimaging studies of the cortex in clinical offices and under more realistic, ecologically valid parameters.
Scott C, Bunce +4 more
openaire +2 more sources
Cerebrovascular Reactivity Measurement with Functional Near Infrared Spectroscopy
Journal of Visualized Experiments, 2022Cerebrovascular reactivity (CVR) is the capacity of blood vessels in the brain to alter cerebral blood flow (either with dilation or constriction) in response to chemical or physical stimuli. The amount of reactivity in the cerebral microvasculature depends on the integrity of the capacitance vasculature and is the primary function of endothelial cells.
Franck, Amyot +7 more
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Transformer Model for Functional Near-Infrared Spectroscopy Classification
IEEE Journal of Biomedical and Health Informatics, 2022Functional near-infrared spectroscopy (fNIRS) is a promising neuroimaging technology. The fNIRS classification problem has always been the focus of the brain-computer interface (BCI). Inspired by the success of Transformer based on self-attention mechanism in the fields of natural language processing and computer vision, we propose an fNIRS ...
Zenghui Wang +4 more
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