Functional near-infrared spectroscopy (fNIRS) is a noninvasive brain function detection
technique based on the principle of neuro-vascular coupling. Based on a bibliometric …

Functional near-infrared spectroscopy (fNIRS) is a non-invasive neuroimaging technology
for monitoring cerebral hemodynamic responses. Enhancing fNIRS classification can …

Purpose This study aimed to improve the accuracy of brain-computer interface (BCI) systems
based on motor imagery (MI) and mental arithmetic (MA) by utilizing functional near-infrared …

Accurate sleep staging evaluates the quality of sleep, supporting the clinical diagnosis and
intervention of sleep disorders and related diseases. Although previous attempts to classify …

To address the challenges posed by early weak fault signals hindering fault feature
extraction and leading to diminished recognition accuracy in deep learning models, we …

Functional near‐infrared spectroscopy (fNIRS) is a low‐cost and noninvasive method to
measure the hemodynamic responses of cortical brain activities and has received great …

Transcranial electrical stimulation has demonstrated the potential to enhance cognitive
functions such as working memory, learning capacity, and attentional allocation. Recently, it …

Functional near-infrared spectroscopy (fNIRS), an optical neuroimaging technique, has
been widely used in the field of brain activity recognition and brain-computer interface …

Functional near-infrared spectroscopy (fNIRS) is a neuroimaging technique used to estimate
brain activity by measuring local hemodynamic changes. Due to its high spatial resolution …

Environmental perception is crucial in autonomous driving technology, providing essential
prior information for vehicle control and decision-making. Lane detection is gaining …