Electroencephalography (EEG) is routinely used in many diagnostic techniques that have been practiced to study brain functioning in health and disease. EEG signal processing involves the acquisition, analysis, and treatment of the brain’s electrical activity measured using electroencephalography. The recent progress in signal processing and machine learning for EEG data processing has brought impressive advances in solving several practical and challenging problems in many areas such as healthcare, biomedicine, biomedical engineering, BCI, and biometrics.
The focus of this particular section in BCINEUROTECH aims to present the latest methods in EEG signal analysis and processing. BCINEUROTECH offers signal processing work covering novel theories, innovative techniques, advanced technologies that can potentially determine brain activity changes for diagnosing and monitoring brain disorders, particularly epilepsy or another seizure disorder. Moreover, we present an essential clinical method for diagnosing or treating diseases such as a brain tumor, Brain damage, brain dysfunction that can have a variety of causes (encephalopathy), Inflammation of the brain (encephalitis), stroke, sleep disorders.