Recent substantial advancements in computational techniques, particularly in artificial
intelligence (AI) and machine learning (ML), have raised the demand for smart self-powered …

Diagnosis and management of chronic neuropathic pain are challenging, leading to current
efforts to characterize 'objective'biomarkers of pain using imaging or neurophysiological …

The present study shows new findings that reveal the high association between emotional
arousal and neuro-functional brain connectivity measures. For this purpose, contrasting …

Neurofeedback, utilizing an electroencephalogram (EEG) and/or a functional near-infrared
spectroscopy (fNIRS) device, is a real-time measurement of brain activity directed toward …

The brain–computer interface (BCI), which provides a new way for humans to directly
communicate with robots without the involvement of the peripheral nervous system, has …

Migraine is a common disease of the nervous system that seriously affects the quality of life
of patients and constitutes a growing global health crisis. However, many limitations and …

Depression has gradually become the most common mental disorder in the world. The
accuracy of its diagnosis may be affected by many factors, while the primary diagnosis …

In brain–computer interfaces (BCIs), it is crucial to process brain signals to improve the
accuracy of the classification of motor movements. Machine learning (ML) algorithms such …

Industrial Internet of Things (IIoT) and its applications have seen a paradigm shift since the
advent of artificial intelligence and machine learning. However, these methods are mostly …

Electroencephalography (EEG) sensors are flexible and non-invasive sensoring devices for
the measurement of electrical brain activity which is extensively used in some areas of …