As a relatively new field of neurology and computer science, brain computer interface (BCI)
has many established and burgeoning applications across scientific disciplines. Many …

The use of brain signals in controlling wheelchairs is a promising solution for many disabled
individuals, specifically those who are suffering from motor neuron disease affecting the …

Amyotrophic lateral sclerosis is a devastating disease characterized primarily by motor
system degeneration, with clinical evidence of cognitive and behavioural change in up to …

Functional near-infrared spectroscopy (fNIRS) is an innovative neuroimaging method that
offers several advantages over other commonly used modalities. This narrative review …

The diagnosis of social anxiety disorder (SAD) is of great consequence not only due to its
impacts on the individual and society but also the expenditures to the national health …

This paper presents a practical human-computer interaction system for wheelchair motion
through eye tracking and eye blink detection. In this system, the pupil in the eye image has …

The progressive loss of motor function characteristic of amyotrophic lateral sclerosis is
associated with widespread cortical pathology extending beyond primary motor regions …

From 1990 to 2019, the burden of neurological disorders varied considerably across
countries and regions. Psychiatric disorders, often emerging in early to mid-adulthood, are …

Multi-view learning is a rapidly evolving research area focused on develo** diverse
learning representations. In neural data analysis, this approach holds immense potential by …

Background Brain-computer interface (BCI) systems currently lack the required robustness
for long-term daily use due to inter-and intra-subject performance variability. In this study, we …