[HTML][HTML] Hybrid EEG-fNIRS asynchronous brain-computer interface for multiple motor tasks
Non-invasive Brain-Computer Interfaces (BCI) have demonstrated great promise for
neuroprosthetics and assistive devices. Here we aim to investigate methods to combine …
neuroprosthetics and assistive devices. Here we aim to investigate methods to combine …
[HTML][HTML] Open-access fNIRS dataset for classification of unilateral finger-and foot-tapping
Numerous open-access electroencephalography (EEG) datasets have been released and
widely employed by EEG researchers. However, not many functional near-infrared …
widely employed by EEG researchers. However, not many functional near-infrared …
Classification of functional near-infrared spectroscopy signals corresponding to the right-and left-wrist motor imagery for development of a brain–computer interface
This paper presents a study on functional near-infrared spectroscopy (fNIRS) indicating that
the hemodynamic responses of the right-and left-wrist motor imageries have distinct patterns …
the hemodynamic responses of the right-and left-wrist motor imageries have distinct patterns …
Hemodynamic brain–computer interfaces for communication and rehabilitation
Functional near-infrared spectroscopy (NIRS) and functional magnetic resonance imaging
(fMRI) are non-invasive methods for acquiring hemodynamic signals from the brain with the …
(fMRI) are non-invasive methods for acquiring hemodynamic signals from the brain with the …
[HTML][HTML] Near-infrared spectroscopy (NIRS)-based eyes-closed brain-computer interface (BCI) using prefrontal cortex activation due to mental arithmetic
We propose a near-infrared spectroscopy (NIRS)-based brain-computer interface (BCI) that
can be operated in eyes-closed (EC) state. To evaluate the feasibility of NIRS-based EC …
can be operated in eyes-closed (EC) state. To evaluate the feasibility of NIRS-based EC …
[HTML][HTML] Early detection of hemodynamic responses using EEG: a hybrid EEG-fNIRS study
Enhanced classification accuracy and a sufficient number of commands are highly
demanding in brain computer interfaces (BCIs). For a successful BCI, early detection of brain …
demanding in brain computer interfaces (BCIs). For a successful BCI, early detection of brain …
CNN-based classification of fNIRS signals in motor imagery BCI system
T Ma, S Wang, Y Xia, X Zhu, J Evans… - Journal of Neural …, 2021 - iopscience.iop.org
Objective. Development of a brain–computer interface (BCI) requires classification of brain
neural activities to different states. Functional near-infrared spectroscopy (fNIRS) can …
neural activities to different states. Functional near-infrared spectroscopy (fNIRS) can …
[HTML][HTML] Wearable, integrated eeg–fnirs technologies: A review
There has been considerable interest in applying electroencephalography (EEG) and
functional near-infrared spectroscopy (fNIRS) simultaneously for multimodal assessment of …
functional near-infrared spectroscopy (fNIRS) simultaneously for multimodal assessment of …
Separating heart and brain: on the reduction of physiological noise from multichannel functional near-infrared spectroscopy (fNIRS) signals
Objective. Functional near-infrared spectroscopy (fNIRS) is an emerging technique for the in
vivo assessment of functional activity of the cerebral cortex as well as in the field of brain …
vivo assessment of functional activity of the cerebral cortex as well as in the field of brain …
Passive BCI based on drowsiness detection: an fNIRS study
We use functional near-infrared spectroscopy (fNIRS) to discriminate the alert and drowsy
states for a passive brain-computer interface (BCI). The passive brain signals for the drowsy …
states for a passive brain-computer interface (BCI). The passive brain signals for the drowsy …