Neurological disorders (NDs), such as Alzheimer's disease, have been a threat to human
health all over the world. It is of great importance to diagnose ND through combining artificial …

Depression is a common mental disorder that seriously affects patients' social function and
daily life. Its accurate diagnosis remains a big challenge in depression treatment. In this …

Depression is a prevalent mental disorder that poses significant risks to human health and
social stability. Current methods for diagnosing depression heavily rely on patient …

Operators experience complicated physiological and psychological states when exposed to
extreme heat stress, which can impair cognitive function and decrease performance …

Depression recognition based on physiological signals such as functional near-infrared
spectroscopy (fNIRS) and electroencephalogram (EEG) has made considerable progress …

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 …

Depression is a mental disorder caused by factors such as genetics, life events and social
influences, and has become a major public health problem worldwide. Previous studies …

In this work, we propose a lightweight Hierarchical Node-wise Localized Diffusion-
Convolutional Network (HNLDCNet) for motor imagery (MI) and mental arithmetic (MA) …

Significance Early diagnosis of depression is crucial for effective treatment. Our study utilizes
functional near-infrared spectroscopy (fNIRS) and machine learning to accurately classify …

Functional Near-Infrared Spectroscopy (fNIRS) is a technique for measuring blood flow in
the brain, specifically focusing on changes in the frontal lobe. It has found valuable …