Brain–machine interfaces using functional near-infrared spectroscopy: a review
Functional near-infrared spectroscopy (fNIRS) is a noninvasive method for acquiring
hemodynamic signals from the brain with advantages of portability, affordability, low …
hemodynamic signals from the brain with advantages of portability, affordability, low …
Progress in Brain‐Compatible Interfaces with Soft Nanomaterials
Neural interfaces facilitating communication between the brain and machines must be
compatible with the soft, curvilinear, and elastic tissues of the brain and yet yield enough …
compatible with the soft, curvilinear, and elastic tissues of the brain and yet yield enough …
Enhanced accuracy for multiclass mental workload detection using long short-term memory for brain–computer interface
Cognitive workload is one of the widely invoked human factors in the areas of human–
machine interaction (HMI) and neuroergonomics. The precise assessment of cognitive and …
machine interaction (HMI) and neuroergonomics. The precise assessment of cognitive and …
Functional near-infrared spectroscopy for the classification of motor-related brain activity on the sensor-level
Sensor-level human brain activity is studied during real and imaginary motor execution
using functional near-infrared spectroscopy (fNIRS). Blood oxygenation and deoxygenation …
using functional near-infrared spectroscopy (fNIRS). Blood oxygenation and deoxygenation …
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 …
Brain-based binary communication using spatiotemporal features of fNIRS responses
L Nagels-Coune, A Benitez-Andonegui… - Frontiers in human …, 2020 - frontiersin.org
“Locked-in” patients lose their ability to communicate naturally due to motor system
dysfunction. Brain-computer interfacing offers a solution for their inability to communicate by …
dysfunction. Brain-computer interfacing offers a solution for their inability to communicate by …
Performance improvement of near-infrared spectroscopy-based brain-computer interface using regularized linear discriminant analysis ensemble classifier based on …
Ensemble classifiers have been proven to result in better classification accuracy than that of
a single strong learner in many machine learning studies. Although many studies on …
a single strong learner in many machine learning studies. Although many studies on …
A Multichannel fNIRS System for Prefrontal Mental Task Classification with Dual‐level Excitation and Deep Forest Algorithm
C Chen, Y Wen, S Cui, X Qi, Z Liu, L Zhou… - Journal of …, 2020 - Wiley Online Library
This paper presents a multichannel functional continuous‐wave near‐infrared spectroscopy
(fNIRS) system, which collects data under a dual‐level light intensity mode to optimize SNR …
(fNIRS) system, which collects data under a dual‐level light intensity mode to optimize SNR …
[HTML][HTML] 基于功能性近红外光谱识别右脚三种想象动作研究
玉李， 馨熊， 昭阳李， 云发伏 - Sheng Wu Yi Xue Gong Cheng Xue …, 2020 - ncbi.nlm.nih.gov
基于功能性近红外光谱（ fNIRS） 的脑机接口（ BCI） 是一种新型的人机交互手段。
为探究单个肢体不同运动想象动作fNIRS 信号的可分性， 研究采集了15 名受试者 …
为探究单个肢体不同运动想象动作fNIRS 信号的可分性， 研究采集了15 名受试者 …
Investigation of an EEG-based indicator of skill acquisition as novice participants practice a lifeboat maneuvering task in a simulator
In training, task proficiency is typically assessed through relevant performance measures.
Such measures provide information about how effectively the individual can perform the …
Such measures provide information about how effectively the individual can perform the …