Rapid urbanization and growing food demand caused people to be concerned about food
safety. Biosensors have gained considerable attention for assessing food safety due to …

Abstract Objective Disorders of consciousness (DoC) are acquired conditions of severely
altered consciousness. Electroencephalography (EEG)-derived biomarkers have been …

Detecting signs of residual neural activity in patients with altered states of consciousness is
a crucial issue for the customization of neurorehabilitation treatments and clinical decision …

Objective Clinical responsiveness of patients with a Disorder of Consciousness (DoC)
correlates to sympathetic/parasympathetic homeostatic balance. Heart Rate Variability …

Objective. Brain-injured patients may enter a state of minimal or inconsistent awareness
termed minimally conscious state (MCS). Such patient may (MCS+) or may not (MCS-) …

Artificial intelligence and machine learning can assist in clinical decision-making, including
the diagnosis, prognosis, and therapy for patients with disorders of consciousness. The …

Objective. Accurately diagnosing patients with disorders of consciousness (DOC) is
challenging and prone to errors. Recent studies have demonstrated that EEG …

Lateral brain symmetry indexes, detected by electroencephalography (EEG), are markers of
rehabilitative recovery widely used in patients with severe acquired brain injury (sABI). In …

BACKGROUND The Coma Recovery Scale-Revised (CRS-R) is the most recommended
clinical tool to examine the neurobehavioral condition of individuals with disorders of …

Accurate prognostic prediction in patients with disorders of consciousness (DOC) is a core
clinical concern and a formidable challenge in neuroscience. Resting-state EEG has shown …