Automatic Electroencephalography (EEG) interpretation system had been developed as an important tool for the inspection of brain diseases. In this study, an automatic reference selection technique was developed to obtain the appropriate derivation for EEG components interpretation. The cross spectrum of bipolar EEG was adopted to detect the phase reversal among the EEG channels covering the sca...

Electroencephalography (EEG) monitoring is an important tool in the management of comatose survivors of cardiac arrest. The results serve to predict the neurological outcome, identify postanoxic status epilepticus, and assess the effectiveness of antiepileptic treatments. Continuous EEG monitoring might seem the most attractive option but is costly and requires the continuous availability of an...

The principal challenges involved with recording and analyzing surface electroencephalography (EEG) are presented in a way that is clear for the nontechnical reader. The influence of interpatient variability, signal acquisition techniques, and general effects of digital signal processing are described. A signal-processing example using surface EEG data is presented, and recommendations are prop...

Recent advances in electroencephalography (EEG) research are presented. Particular emphasis is placed on sleep and epilepsy research in humans. In this context, among others, studies on the modifications of EEG epileptic activity during sleep are discussed in more detail. A large number of reports come from EEG monitoring during presurgical evaluation and surgical treatment of drug-resistant ep...

This paper proposes the design of a rehabilitation robot for upper limb based on physiological electrical signals. The system uses surface electromyography (sEMG) and electroencephalography (EEG) signals to control robot's movements. has modular structure consisting mechanical hand, system, data acquisition system. STM32 microcontroller Bluetooth module real-time transmission control. collects ...

The most renowned strategy utilized for perusing mind movement is electroencephalography (EEG). Electroencephalography is the neurophysiologic estimation of the electrical action of the cerebrum by recording from anodes put on the scalp, or in the exceptional cases on the cortex. The ensuing follows are known as an electroencephalogram (EEG) and speak to alleged brainwaves. This system is picki...

Investigators from the University of California, San Francisco studied the yield of continuous video EEG (vEEG) in diagnosing electrographic seizures in their neonatal intensive care unit.

Psychogenic nonepileptic seizures have long been known by many names. A short list includes hysteroepilepsy, hysterical seizures, pseudoseizures, nonepileptic events, nonepileptic spells, nonepileptic seizures, and psychogenic nonepileptic attacks. These events are typically misdiagnosed for years and are frequently treated as electrographic seizures and epilepsy. These patients experience all ...

A mobile, easy to use, wireless dry contact EEG acquisition system is presented in this work. This system can potentially facilitate continuous in-home monitoring of electroencephalography (EEG) to diagnose ailments such as epilepsy. The system has also been validated with brain computer interface (BCI) paradigms that would enable physically disabled users to communicate.

In order to predict user-favorite songs, managing user preferences information and genre classification are necessary. In this paper, we propose a preference classification about content based on real-time user brainwave and a music recommendation system based on it. We focused on classifying real-time user preferences by analyzing the user’s brainwaves. The brainwaves are acquired using a wire...