Alzheimer's disease (AD) is one of the most common form of dementia which mostly affects
elderly people. AD identification in early stages is a difficult task in medical practice and …

The unpredictability of epileptic seizures is one of the most problematic aspects of the field of
epilepsy. Methods or devices capable of detecting seizures minutes before they occur may …

Automatic seizure detection from electroencephalography (EEG) based on deep learning
has been significantly improved. However, existing works have not adequately excavate the …

Automatic seizure detection algorithms are necessary for patients with refractory epilepsy.
Many excellent algorithms have achieved good results in seizure detection. Still, most of …

The impact of SARS-CoV-2 infection remains substantial on a global scale, despite
widespread vaccination efforts, early therapeutic interventions, and an enhanced …

Epilepsy is a neurological disorder caused by brain dysfunction, which could cause
uncontrolled behavior, loss of consciousness and other hazards. Electroencephalography …

Electroencephalography (EEG) records the electrical activity of the brain, which is an
important tool for the automatic detection of epileptic seizures. It is certainly a very heavy …

Sudden unexpected death in epilepsy (SUDEP) is a devastating yet overlooked
complication of epilepsy. The rare and complex nature of SUDEP makes it challenging to …

Deep learning-based epileptic seizure recognition via electroencephalogram signals has
shown considerable potential for clinical practice. Although deep learning algorithms can …

The prolonged duration of chronic low back pain (cLBP) inevitably leads to changes in the
cognitive, attentional, sensory and emotional processing brain regions. Currently, it remains …