CGAN-rIRN: a data-augmented deep learning approach to accurate classification of mental tasks for a fNIRS-based brain-computer interface
Y Zhang, D Liu, T Li, P Zhang, Z Li… - Biomedical optics express, 2023 - opg.optica.org
Functional near-infrared spectroscopy (fNIRS) is increasingly used to investigate different
mental tasks for brain-computer interface (BCI) control due to its excellent environmental …
mental tasks for brain-computer interface (BCI) control due to its excellent environmental …
Brain-computer interface using deep neural network and its application to mobile robot control
G Huve, K Takahashi… - 2018 IEEE 15th …, 2018 - ieeexplore.ieee.org
Functional near-infrared spectroscopic (fNIRS) systems have recently attracted considerable
attention for their potential in the domain of brain-computer interfaces (BCIs). This study …
attention for their potential in the domain of brain-computer interfaces (BCIs). This study …
Combining robust level extraction and unsupervised adaptive classification for high-accuracy fNIRS-BCI: An evidence on single-trial differentiation between mentally …
Y Zhang, D Liu, P Zhang, T Li, Z Li, F Gao - Frontiers in neuroscience, 2022 - frontiersin.org
Functional near-infrared spectroscopy (fNIRS) is a safe and non-invasive optical imaging
technique that is being increasingly used in brain-computer interfaces (BCIs) to recognize …
technique that is being increasingly used in brain-computer interfaces (BCIs) to recognize …
Novel fNIRS study on homogeneous symmetric feature-based transfer learning for brain–computer interface
The brain–computer interface (BCI) provides an alternate means of communication between
the brain and external devices by recognizing the brain activities and translating them into …
the brain and external devices by recognizing the brain activities and translating them into …
Enhancing Classification Accuracy with Integrated Contextual Gate Network: Deep Learning Approach for Functional Near-Infrared Spectroscopy Brain–Computer …
Brain–computer interface (BCI) systems include signal acquisition, preprocessing, feature
extraction, classification, and an application phase. In fNIRS-BCI systems, deep learning …
extraction, classification, and an application phase. In fNIRS-BCI systems, deep learning …
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 …
Classification algorithm for fNIRS-based brain signals using convolutional neural network with spatiotemporal feature extraction mechanism
Y Qin, B Li, W Wang, X Shi, C Peng, Y Lu - Neuroscience, 2024 - Elsevier
Abstract Brain Computer Interface (BCI) is a highly promising human–computer interaction
method that can utilize brain signals to control external devices. BCI based on functional …
method that can utilize brain signals to control external devices. BCI based on functional …
Comparison of machine learning approaches for motor imagery based optical brain computer interface
Abstract A Brain-computer Interface (BCI) is a system that interprets specific patterns in
human brain activity, such as the intention to perform motor functions, in order to generate a …
human brain activity, such as the intention to perform motor functions, in order to generate a …
Improving fNIRS-BCI accuracy using GAN-based data augmentation
T Nagasawa, T Sato, I Nambu… - 2019 9th International …, 2019 - ieeexplore.ieee.org
Functional near-infrared spectroscopy (fNIRS) is expected to be applied to the brain-
computer interface (BCI). Since a lengthy fNIRS measurement is uncomfortable for the …
computer interface (BCI). Since a lengthy fNIRS measurement is uncomfortable for the …
Rethinking delayed hemodynamic responses for fNIRS classification
Z Wang, J Fang, J Zhang - IEEE Transactions on Neural …, 2023 - ieeexplore.ieee.org
Functional near-infrared spectroscopy (fNIRS) is a non-invasive neuroimaging technology
for monitoring cerebral hemodynamic responses. Enhancing fNIRS classification can …
for monitoring cerebral hemodynamic responses. Enhancing fNIRS classification can …