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 …
A multi-channel NIRS system for prefrontal mental task classification employing deep forest algorithm
Y Wen, X Qi, S Cui, C Chen, M Chen… - … Circuits and Systems …, 2019 - ieeexplore.ieee.org
This paper presents a multi-channel continuous-wave near-infrared spectroscopy (NIRS)
system, which is applied to classify different cortical activation states of the prefrontal cortex …
system, which is applied to classify different cortical activation states of the prefrontal cortex …
A functional region decomposition method to enhance fnirs classification of mental states
J Han, J Lu, J Lin, S Zhang, N Yu - IEEE Journal of Biomedical …, 2022 - ieeexplore.ieee.org
Functional near-infrared spectroscopy (fNIRS) classification of mental states is of important
significance in many neuroscience and clinical applications. Existing classification …
significance in many neuroscience and clinical applications. Existing classification …
Classification of three categories from prefrontal cortex using LSTM networks: fNIRS study
In the conventional neuroscience studies using functional near infrared spectroscopy
(fNIRS), the region of interest (ROI) needs to be investigated. In this paper, to reduce the …
(fNIRS), the region of interest (ROI) needs to be investigated. In this paper, to reduce the …
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 …
CT-Net: an interpretable CNN-Transformer fusion network for fNIRS classification
L Liao, J Lu, L Wang, Y Zhang, D Gao… - Medical & Biological …, 2024 - Springer
Functional near-infrared spectroscopy (fNIRS), an optical neuroimaging technique, has
been widely used in the field of brain activity recognition and brain-computer interface …
been widely used in the field of brain activity recognition and brain-computer interface …
A unified analytical framework with multiple fNIRS features for mental workload assessment in the prefrontal cortex
Knowing the actual level of mental workload is important to ensure the efficacy of brain-
computer interface (BCI) based cognitive training. Extracting signals from limited area of a …
computer interface (BCI) based cognitive training. Extracting signals from limited area of a …
A general and scalable vision framework for functional near-infrared spectroscopy classification
Z Wang, J Zhang, Y Xia, P Chen… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Functional near-infrared spectroscopy (fNIRS), a non-invasive optical technique, is widely
used to monitor brain activities for disease diagnosis and brain-computer interfaces (BCIs) …
used to monitor brain activities for disease diagnosis and brain-computer interfaces (BCIs) …
Classification of mental tasks in the prefrontal cortex using fNIRS
Functional near infrared spectroscopy (fNIRS) is rapidly gaining interest in both the
Neuroscience, as well as the Brain-Computer-Interface (BCI) community. Despite these …
Neuroscience, as well as the Brain-Computer-Interface (BCI) community. Despite these …
Transformer model for functional near-infrared spectroscopy classification
Z Wang, J Zhang, X Zhang, P Chen… - IEEE Journal of …, 2022 - ieeexplore.ieee.org
Functional near-infrared spectroscopy (fNIRS) is a promising neuroimaging technology. The
fNIRS classification problem has always been the focus of the brain-computer interface …
fNIRS classification problem has always been the focus of the brain-computer interface …