Results 41 to 50 of about 6,485,934 (204)
The use of near infrared (NIR) spectroscopy to improve soil mapping at the farm scale [PDF]
The creation of fine resolution soil maps is hampered by the increasing costs associated with conventional laboratory analyses of soil. In this study, near infrared (NIR) reflectance spectroscopy was used to reduce the number of conventional soil ...
Söderström, Mats +2 more
core +2 more sources
Background: Functional near infrared spectroscopy (fNIRS) provides a direct and quantitative assessment of cortical haemodynamic function during a cognitive task.
Syeda F. Husain +9 more
doaj +1 more source
Neural correlates of spontaneous deception: A functional near-infrared spectroscopy (fNIRS)study [PDF]
Deception is commonly seen in everyday social interactions. However, most of the knowledge about the underlying neural mechanism of deception comes from studies where participants were instructed when and how to lie. To study spontaneous deception, we designed a guessing game modeled after Greene and Paxton (2009) "Proceedings of the National Academy ...
Xiao Pan, Ding +3 more
openaire +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
Monitoring and assessment for obstructive sleep apnea
This review systematically classifies Obstructive Sleep Apnea (OSA) monitoring indicators into three categories: physical, biochemical, and electrophysiological indicators, and lists several methods for each category. Abstract Obstructive sleep apnea (OSA) is a common chronic sleep‐disordered breathing disease characterized by recurrent upper airway ...
Yaowen Xu +6 more
wiley +1 more source
The application of fNIRS in studies on occupational workload: a systematic review
BackgroundOccupational workload can contribute to significant health problems such as chronic stress, fatigue and burnout. To investigate the underlying mechanisms, it is necessary to monitor brain activity in real work environments.
Robin Gemmerich +2 more
doaj +1 more source
Artificial intelligence (AI) is being explored to support diagnosis and care for pediatric neurodevelopmental disorders, yet most tools remain in early stages of development. This scoping review identifies limited external validation, narrow population representation, and sparse equity considerations, underscoring the need for inclusive, clinically ...
Florida Uzoaru +3 more
wiley +1 more source
The fNIRS glossary project: a consensus-based resource for functional near-infrared spectroscopy terminology [PDF]
Significance A shared understanding of terminology is essential for clear scientific communication and minimizing misconceptions. This is particularly challenging in rapidly expanding, interdisciplinary domains that utilize functional near-infrared spectroscopy (fNIRS), where researchers come from diverse backgrounds and apply their expertise in fields
Katharina Stute +75 more
openaire +4 more sources
Using Functional Near Infrared Spectroscopy (fNIRS) to Study Dynamic Stereoscopic Depth Perception [PDF]
The parietal cortex has been widely implicated in the processing of depth perception by many neuroimaging studies, yet functional near infrared spectroscopy (fNIRS) has been an under-utilised tool to examine the relationship of oxy- ([HbO]) and de-oxyhaemoglobin ([HbR]) in perception. Here we examine the haemodynamic response (HDR) to the processing of
Ward, Laura M. +4 more
openaire +4 more sources
A MATLAB-based tool for converting fNIRS time-series data to Homer3-compatible formats
Functional Near-Infrared Spectroscopy (fNIRS) is increasingly used in cognitive neuroscience and clinical research, yet preprocessing raw time-series data remains challenging.
Chao Wang, Xiaojun Cheng, Shichao Liu
doaj +1 more source

