Electroencephalography (EEG) signals provide information about the brain activities, this
study bridges neuroscience and machine learning by introducing an astronomy-inspired …

Brain–computer interfaces (BCIs) that integrate virtual reality with tactile feedback are
increasingly relevant for neurorehabilitation in spinal cord injury (SCI). In our previous case …

Analysis of brain activity for patients with brain disorders is an important research area. Mild
cognitive impairment (MCI) is a condition in which patients have more memory or thinking …

Thirty-six chronic neuropathic pain patients (8 men and 28 women) of Mexican nationality
with a mean age of 44±13.98 were recruited for EEG signal recording in eyes open and …

Background and objective Electroencephalogram (EEG) signals record brain activity, with
growing interest in quantifying neural activity through complexity analysis as a potential …

Pain is an experience of unpleasant sensations and emotions associated with actual or
potential tissue damage. In the global context, billions of people are affected by pain …

Objective: Common pain assessment approaches such as self-evaluation and observation
scales are inappropriate for children as they require patients to have reasonable …

Neurological disabilities cause diverse health and mental challenges, impacting quality of
life and imposing financial burdens on both the individuals diagnosed with these conditions …

Brain computer interface (BCI) applications in robotics are becoming more famous and
famous. People with disabilities are facing a real-time problem of doing simple activities …

Thalamocortical dysrhythmia is a shared hallmark of numerous neurodivergent conditions.
Restricted environment stimulation therapy (REST) flotation causes desirable neural shifts in …