Deep learning in fNIRS: a review
Significance: Optical neuroimaging has become a well-established clinical and research
tool to monitor cortical activations in the human brain. It is notable that outcomes of …
tool to monitor cortical activations in the human brain. It is notable that outcomes of …
[HTML][HTML] Implementation of artificial intelligence and machine learning-based methods in brain–computer interaction
Brain–computer interfaces are used for direct two-way communication between the human
brain and the computer. Brain signals contain valuable information about the mental state …
brain and the computer. Brain signals contain valuable information about the mental state …
Moving towards intelligent telemedicine: Computer vision measurement of human movement
Background: Telemedicine video consultations are rapidly increasing globally, accelerated
by the COVID-19 pandemic. This presents opportunities to use computer vision technologies …
by the COVID-19 pandemic. This presents opportunities to use computer vision technologies …
Research on Emotion Recognition Method of Cerebral Blood Oxygen Signal Based on CNN-Transformer Network
Z **, Z ** Movements: An fNIRS Study
Finger tap** is one of the most reliable and widely utilized tasks for evoking activity in the
motor cortex area of the brain, both for the brain-computer interface (BCI) and for evaluating …
motor cortex area of the brain, both for the brain-computer interface (BCI) and for evaluating …
Machine learning approach for classifying college scholastic ability test levels with unsupervised features from prefrontal functional near-infrared spectroscopy signals
Learning ability evaluation has been critical in educational and medical fields to investigate
learning achievement or cognitive impairment. Previous researchers utilized biosignal data …
learning achievement or cognitive impairment. Previous researchers utilized biosignal data …