The global burden of neurological disorders is substantial and increasing, especially in low-
resource settings. The current increased global interest in brain health and its impact on …

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 …

At present, the preparation of laser-induced graphene (LIG) has become an important
technology in sensor manufacturing. In the conventional preparation process, the CO2 laser …

Brain–computer interfaces (BCIs) are a new technology that subverts traditional human–
computer interaction, where the control signal source comes directly from the user's brain …

The locked-in syndrome (LiS) is characterized by quadriplegia with preserved vertical eye
and eyelid movements and retained cognitive abilities. Subcategorization, aetiologies and …

Background This research focused on the development of a motor imagery (MI) based brain–
machine interface (BMI) using deep learning algorithms to control a lower-limb robotic …

Objective The glymphatic system serves as a perivascular pathway that aids in clearing
liquid and solute waste from the brain, thereby enhancing neurological function. Disorders in …

The low-frequency steady-state visual evoked potential (SSVEP)-based brain-computer
interfaces (BCIs) tend to induce visual fatigue in the subjects. In order to enhance the …

Background Artificial intelligence (AI) technology has made breakthroughs in spinal cord
neural injury and restoration in recent years. It has a positive impact on clinical treatment …

Objective To determine the efficacy of neural interface-, including brain-computer interface
(BCI), based neurorehabilitation through conventional and individual patient data (IPD) meta …