Evaluating motion processing algorithms for use with functional near-infrared spectroscopy data from young children [PDF]
Motion artifacts are often a significant component of the measured signal in functional near-infrared spectroscopy (fNIRS) experiments. A variety of methods have been proposed to address this issue, including principal components analysis (PCA ...
Bohache, Kevin +3 more
core +2 more sources
System Derived Spatial-Temporal CNN for High-Density fNIRS BCI
An intuitive and generalisable approach to spatial-temporal feature extraction for high-density (HD) functional Near-Infrared Spectroscopy (fNIRS) brain-computer interface (BCI) is proposed, demonstrated here using Frequency-Domain (FD) fNIRS for motor ...
Robin Dale +4 more
doaj +1 more source
BACKGROUND Bipolar depression (BD) is a unique, severe and prevalent mental illness that shares many similarities in symptoms with unipolar depression (UD).
Kun Feng +13 more
semanticscholar +1 more source
Effects of glaucoma and snoring on cerebral oxygenation in the visual cortex: a study using functional Near Infrared Spectroscopy (fNIRS) [PDF]
Purpose: The purpose of this study was to investigate the effects of snoring and glaucoma on the visual Haemodynamic Response (HDR) using functional Near Infrared Spectroscopy (fNIRS).
Aitchison, Ross T. +8 more
core +1 more source
Simultaneous fNIRS and thermal infrared imaging during cognitive task reveal autonomic correlates of prefrontal cortex activity [PDF]
Functional Near Infrared-Spectroscopy (fNIRS) represents a powerful tool to non-invasively study task-evoked brain activity. fNIRS assessment of cortical activity may suffer for contamination by physiological noises of different origin (e.g.
Cardone, D, Merla, A, Pinti, P
core +1 more source
ABSTRACT Neurological disorders represent a critical domain within global health, necessitating advanced interventions to address complex pathologies such as tumors, functional disorders, and cerebrovascular diseases. Despite the proven benefits of early intervention, current treatment paradigms face significant challenges: (1) limited precision in ...
Qing Ye +14 more
wiley +1 more source
In today’s technologically driven world, there is a need to better understand the ways that common computer malfunctions affect computer users. These malfunctions may have measurable influences on computer user’s cognitive, emotional, and behavioral ...
Barelka, Alex +6 more
core +2 more sources
Human Discrimination and Categorization of Emotions in Voices: A Functional Near-Infrared Spectroscopy (fNIRS) Study. [PDF]
AbstractVariations of the vocal tone of the voice during speech production, known as prosody, provide information about the emotional state of the speaker. In recent years, functional imaging has suggested a role of both right and left inferior frontal cortices in attentive decoding and cognitive evaluation of emotional cues in human vocalizations ...
Gruber T +6 more
europepmc +7 more sources
Advanced flexible brain computer interface materials: From development to application
This review explores how novel materials coatings are advancing brain‐computer interface (BCI) technology. It describes how these materials help overcome key challenges in signal accuracy, biocompatibility, and device durability. The paper highlights BCI applications in medicine and entertainment, and discusses future trends that could transform human ...
Renquan Guan +5 more
wiley +1 more source
Applying Functional Near Infrared (fNIR) Spectroscopy to Enhance MIS Research
This review paper introduces the emerging technology of optical brain imaging, also known as functional near infrared (fNIR) spectroscopy, and discusses its potential role in enhancing theory and methodology used in MIS research. We discuss basic fNIR principles including the technique’s safe and portable nature, which allows ambulatory brain activity ...
David Gefen, Hasan Ayaz, Banu Onaral
openaire +2 more sources

