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), as a non-invasive modality, enables the representation of
the underlying neuronal activities as electrical signals with high temporal resolution. In …

Electroencephalography (EEG) enlighten about the state of the brain ie about the electrical
bustle going on in the brain. The electrical activity measured as voltage at different points of …

Electroencephalography (EEG) signals are an important tool in the field of clinical medicine,
brain research and the study of neurological diseases. EEG is very susceptible to a variety of …

Researchers can improve the ecological validity of brain research by studying humans
moving in real-world settings. Recent work shows that dual-layer EEG can improve the …

Epileptic seizure occurs as a result of abnormal transient disturbance in the electrical
activities of the brain. The electrical activities of brain fluctuate frequently and can be …

Electroencephalogram (EEG) is a common tool for medical diagnosis, cognitive research,
and managing neurological disorders. However, EEG is usually contaminated with various …

The purpose of this chapter is to explore the idea of using EEG signals as a biometric
modality to recognize individuals. Considered as a variant of Brain Computer Interface (BCI) …

The electrical waveforms generated by brain named electroencephalogram (EEG) signals,
require certain special processing for using them as part of applications. EEG signals need …

EEG signals are often contaminated by ocular artifacts (OAs), in particular when they are
recorded for a subject that is, in principle, awake, such as in a study of drowsiness. It is …