Electroencephalogram (EEG) measures the neuronal activities in the form of electric
currents that are generated due to the synchronized activity by a group of specialized …

Neuromarketing has become an academic and commercial area of interest, as the
advancements in neural recording techniques and interpreting algorithms have made it an …

This review investigates cutting-edge electroencephalography (EEG) signal processing
techniques, focusing on noise reduction, artifact removal, and feature extraction. The study …

Human activity recognition (HAR) has become an intensive research topic in the past
decade because of the pervasive user scenarios and the overwhelming development of …

Electroencephalogram (EEG) records the electrical activity of neurons in the cerebral cortex
and is used extensively to diagnose, treat, and monitor psychiatric and neurological …

Automated eyes‐state classification from the EEG signals using nonlinear analysis tools is a
new area of research. Based upon the theory of nonlinear analysis, recurrence plots (RPs) …

Major contributors to impairment are neurological conditions such epilepsy, Alzheimer's
disease, multiple sclerosis, Parkinson's disease, and others. These neurodegenerative …

This paper investigates the changes in sensory neural activity during exoskeleton control.
Exoskeletons are becoming reliable tools for neurorehabilitation, as recent studies have …

Biometric systems have numerous advantages over traditional authentication methods and
should be taken into account: uniqueness, fraud-resistance, portability, convenience of use …

Applications of human activity recognition in health care and monitoring of Activities of Daily
Livings (ADLs) can assist in the detection of abnormalities that may result in neurological …