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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 …
[HTML][HTML] fNIRS-EEG BCIs for motor rehabilitation: a review
J Chen, Y **a, X Zhou, E Vidal Rosas, A Thomas… - Bioengineering, 2023 - mdpi.com
Motor impairment has a profound impact on a significant number of individuals, leading to a
substantial demand for rehabilitation services. Through brain–computer interfaces (BCIs) …
substantial demand for rehabilitation services. Through brain–computer interfaces (BCIs) …
[HTML][HTML] Functional near-infrared spectroscopy in non-invasive neuromodulation
C Huo, G Xu, H **e, 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 …
Motor imagery brain–computer interface rehabilitation system enhances upper limb performance and improves brain activity in stroke patients: A clinical study
W Liao, J Li, X Zhang, C Li - Frontiers in Human Neuroscience, 2023 - frontiersin.org
This study compared the efficacy of Motor Imagery brain-computer interface (MI-BCI)
combined with physiotherapy and physiotherapy alone in ischemic stroke before and after …
combined with physiotherapy and physiotherapy alone in ischemic stroke before and after …
Incorporating EEG and fNIRS patterns to evaluate cortical excitability and MI-BCI performance during motor training
Z Wang, L Yang, Y Zhou, L Chen, B Gu… - … on Neural Systems …, 2023 - ieeexplore.ieee.org
As electroencephalography (EEG) is nonlinear and nonstationary in nature, an imperative
challenge for brain-computer interfaces (BCIs) is to construct a robust classifier that can …
challenge for brain-computer interfaces (BCIs) is to construct a robust classifier that can …
An fNIRS-based dynamic functional connectivity analysis method to signify functional neurodegeneration of Parkinson's disease
J Lu, X Zhang, Y Wang, Y Cheng, Z Shu… - … on Neural Systems …, 2023 - ieeexplore.ieee.org
Parkinson's disease (PD) is a prevalent brain disorder, and PD diagnosis is crucial for
treatment. Existing methods for PD diagnosis are mainly focused on behavior analysis, while …
treatment. Existing methods for PD diagnosis are mainly focused on behavior analysis, while …
fNIRS-based functional connectivity signifies recovery in patients with disorders of consciousness after DBS treatment
Z Shu, J Wu, H Li, J Liu, J Lu, J Lin, S Liang, J Wu… - Clinical …, 2023 - Elsevier
Objective While deep brain stimulation (DBS) has proved effective for certain patients with
disorders of consciousness (DOC), the working neural mechanism is not clear, the response …
disorders of consciousness (DOC), the working neural mechanism is not clear, the response …
Multimodal neural response and effect assessment during a BCI-based neurofeedback training after stroke
Stroke caused by cerebral infarction or hemorrhage can lead to motor dysfunction. The
recovery of motor function is vital for patients with stroke in daily activities. Traditional …
recovery of motor function is vital for patients with stroke in daily activities. Traditional …
[HTML][HTML] Optimizing SSVEP-based BCI system towards practical high-speed spelling
The brain–computer interface (BCI) spellers based on steady-state visual evoked potentials
(SSVEPs) have recently been widely investigated for their high information transfer rates …
(SSVEPs) have recently been widely investigated for their high information transfer rates …
Incorporating EEG and EMG patterns to evaluate BCI-based long-term motor training
Z Wang, B He, Y Zhou, L Chen, B Gu… - … on Human-Machine …, 2022 - ieeexplore.ieee.org
Brain-computer interfaces (BCIs) provide users with a direct communication pathway
between the brain and the peripheral environment. BCI-controlled devices have the …
between the brain and the peripheral environment. BCI-controlled devices have the …