A systematic review on hybrid EEG/fNIRS in brain-computer interface
As a relatively new field of neurology and computer science, brain computer interface (BCI)
has many established and burgeoning applications across scientific disciplines. Many …
has many established and burgeoning applications across scientific disciplines. Many …
Global research on artificial intelligence-enhanced human electroencephalogram analysis
The application of artificial intelligence (AI) technologies in assisting human
electroencephalogram (EEG) analysis has become an active scientific field. This study aims …
electroencephalogram (EEG) analysis has become an active scientific field. This study aims …
Subject-independent functional near-infrared spectroscopy-based brain–computer interfaces based on convolutional neural networks
Functional near-infrared spectroscopy (fNIRS) has attracted increasing attention in the field
of brain–computer interfaces (BCIs) owing to their advantages such as non-invasiveness …
of brain–computer interfaces (BCIs) owing to their advantages such as non-invasiveness …
Random subspace ensemble learning for functional near-infrared spectroscopy brain-computer interfaces
J Shin - Frontiers in human neuroscience, 2020 - frontiersin.org
The feasibility of the random subspace ensemble learning method was explored to improve
the performance of functional near-infrared spectroscopy-based brain-computer interfaces …
the performance of functional near-infrared spectroscopy-based brain-computer interfaces …
[HTML][HTML] Functional near-infrared spectroscopy in non-invasive neuromodulation
C Huo, G Xu, H Xie, T Chen, G Shao… - Neural Regeneration …, 2024 - journals.lww.com
Non-invasive cerebral neuromodulation technologies are essential for the reorganization of
cerebral neural networks, which have been widely applied in the field of central neurological …
cerebral neural networks, which have been widely applied in the field of central neurological …
Feasibility of local interpretable model-agnostic explanations (LIME) algorithm as an effective and interpretable feature selection method: comparative fNIRS study
J Shin - Biomedical Engineering Letters, 2023 - Springer
Many feature selection methods have been evaluated in functional near-infrared
spectroscopy (fNIRS)-related studies. The local interpretable model-agnostic explanation …
spectroscopy (fNIRS)-related studies. The local interpretable model-agnostic explanation …
Machine learning-enabled hyperspectral approaches for structural characterization of precooked noodles during refrigerated storage
H Kwon, J Hwang, Y Cho, S Lee - Food Chemistry, 2024 - Elsevier
The structural features of precooked noodles during refrigerated storage were non-
destructively characterized using hyperspectral imaging (HSI) technology along with …
destructively characterized using hyperspectral imaging (HSI) technology along with …
fNIRS Signals Classification with Ensemble Learning and Adaptive Neuro-Fuzzy Inference System
MM Esfahani, H Sadati - 2021 7th International Conference on …, 2021 - ieeexplore.ieee.org
Brain-Computer-Interface systems were invented in the last decade to record brain signals
and then control a system that behaves and conveys with a biosignal recording device and …
and then control a system that behaves and conveys with a biosignal recording device and …
[HTML][HTML] Machine learning techniques for electroencephalogram based brain-computer interface: A systematic literature review
R Dhiman - Measurement: Sensors, 2023 - Elsevier
Brain-computer interface systems with Electroencephalogram (EEG), especially those use
motor-imagery (MI) signals, have demonstrated the ability to control electromechanical …
motor-imagery (MI) signals, have demonstrated the ability to control electromechanical …
Regional analysis of cerebral hemodynamic changes during the head-up tilt test in Parkinson's disease patients with orthostatic intolerance
Z Phillips, JB Kim, SH Paik, SY Kang, NJ Jeon… - …, 2020 - spiedigitallibrary.org
Significance: Cerebral oxygenation changes in the superior, middle, and medial gyri were
used to elucidate spatial impairments of autonomic hemodynamic recovery during the head …
used to elucidate spatial impairments of autonomic hemodynamic recovery during the head …