Physical principles of brain–computer interfaces and their applications for rehabilitation, robotics and control of human brain states
Brain–computer interfaces (BCIs) development is closely related to physics. In this paper, we
review the physical principles of BCIs, and underlying novel approaches for registration …
review the physical principles of BCIs, and underlying novel approaches for registration …
Applications of functional near-infrared spectroscopy (fNIRS) neuroimaging in exercise–cognition science: a systematic, methodology-focused review
For cognitive processes to function well, it is essential that the brain is optimally supplied
with oxygen and blood. In recent years, evidence has emerged suggesting that cerebral …
with oxygen and blood. In recent years, evidence has emerged suggesting that cerebral …
Sleep stage classification using EEG signal analysis: a comprehensive survey and new investigation
Sleep specialists often conduct manual sleep stage scoring by visually inspecting the
patient's neurophysiological signals collected at sleep labs. This is, generally, a very difficult …
patient's neurophysiological signals collected at sleep labs. This is, generally, a very difficult …
Feature extraction and classification methods for hybrid fNIRS-EEG brain-computer interfaces
In this study, a brain-computer interface (BCI) framework for hybrid functional near-infrared
spectroscopy (fNIRS) and electroencephalography (EEG) for locked-in syndrome (LIS) …
spectroscopy (fNIRS) and electroencephalography (EEG) for locked-in syndrome (LIS) …
[HTML][HTML] Hybrid brain–computer interface techniques for improved classification accuracy and increased number of commands: a review
In this paper, hybrid brain-computer interface (hBCI) technologies for improving
classification accuracy and increasing the number of commands are reviewed. Hybridization …
classification accuracy and increasing the number of commands are reviewed. Hybridization …
Hybrid EEG–fNIRS-based eight-command decoding for BCI: application to quadcopter control
In this paper, a hybrid electroencephalography–functional near-infrared spectroscopy (EEG–
fNIRS) scheme to decode eight active brain commands from the frontal brain region for brain …
fNIRS) scheme to decode eight active brain commands from the frontal brain region for brain …
Utilization of a combined EEG/NIRS system to predict driver drowsiness
The large number of automobile accidents due to driver drowsiness is a critical concern of
many countries. To solve this problem, numerous methods of countermeasure have been …
many countries. To solve this problem, numerous methods of countermeasure have been …
Evaluation of neural degeneration biomarkers in the prefrontal cortex for early identification of patients with mild cognitive impairment: an fNIRS study
Mild cognitive impairment (MCI), a condition characterizing poor cognition, is associated
with aging and depicts early symptoms of severe cognitive impairment, known as …
with aging and depicts early symptoms of severe cognitive impairment, known as …
fNIRS response during walking—Artefact or cortical activity? A systematic review
This systematic review aims to (i) evaluate functional near infrared spectroscopy (fNIRS)
walking study design in young adults, older adults and people with Parkinson's disease …
walking study design in young adults, older adults and people with Parkinson's disease …
Enhanced drowsiness detection using deep learning: an fNIRS study
In this paper, a deep-learning-based driver-drowsiness detection for brain-computer
interface (BCI) using functional near-infrared spectroscopy (fNIRS) is investigated. The …
interface (BCI) using functional near-infrared spectroscopy (fNIRS) is investigated. The …