Electroencephalography (EEG) is an important physiological index of cognitive workload. While previous research has employed high-end EEG devices, this work investigates the feasibility of measuring cognitive workload with a low-cost EEG system. In our experiment, EEG signals are recorded from subjects performing silent reading tasks under different difficulty levels. Experimental results demon...

The goal of this study is to detect the onset of alpha rhythm in the electroencephalography (EEG) signal after eye closure. We developed an algorithm that detects the alpha rhythm onset by analyzing the FFT of an EEG signal, obtained by means of a localized sensor in the occipital zone, developed with specific characteristics for alpha rhythm acquisition. The EEG signal of eight subjects was re...

IMPORTANCE The increasing use of continuous electroencephalography (EEG) monitoring in the intensive care unit has led to recognition of new EEG patterns that are of unclear or unknown significance. OBJECTIVE To describe an EEG pattern, lateralized rhythmic delta activity (LRDA), encountered in critically ill subjects and determine its clinical significance in this setting. DESIGN, SETTING, A...

seizure is the most common neurologic disorder in the pediatric age. obtaining thorough history and performing complete examination as well as electroencephalography (eeg) are very important in confirming the diagnosis and finding the cause. epileptiform activity may be enhanced by activating procedures including sleep deprivation. in this study we performed short duration (up to 8 hours) sleep...

SUMMARY This review article introduces the reader to the very basics of electroencephalography (EEG). It tries to explain in simple terms the physiologic principles of EEG generation and organization at the cellular, cortical and subcortical levels. It also introduces the basic EEG terminology (see the key words).

The paper presents a comprehensive survey on International system for EEG (Electroencephalography) signal acquisition. The paper also explored various neuro-imaging techniques and EEG based neurological phenomenon applied for the development of BCI systems extremely useful for able bodied and disabled people. From the survey it is concluded that P300 signal are the most appropriate signal for c...

Surgery remains a therapeutic option for patients with medically refractory epilepsy. Comprehensive presurgical evaluation includes electroencephalography (EEG) and video EEG in identifying patients who are likely to benefit from surgery. Here, we discuss in detail the utility of EEG in presurgical evaluation of patients with temporal lobe epilepsy along with illustrative cases.

In this position paper, we explore electroencephalography (EEG) techniques for games user research, such as frequency analysis, hemispheric asymmetry and event-related potential technique (ERP). We also briefly introduce how to prepare EEG data and what equipment is available for each technique. We hope to outline the benefits of EEG research for the growing array of physiological measures used...

Blind source separation (BSS) has been proposed as a method to analyze multi-channel electroencephalography (EEG) data. A basic issue in applying BSS algorithms is the validity of the independence assumption. In this paper we investigate whether EEG can be considered to be a linear combination of independent sources. Linear BSS can be obtained under the assumptions of non-Gaussian, non-stationa...

Neural oscillations and their association with brain states cognitive functions have been object of extensive investigation over the last decades. Several electroencephalography (EEG) magnetoencephalography (MEG) analysis approaches explored oscillatory properties identified, in parallel technical computational advancement. This review provides an up-to-date account how EEG/MEG contributed to u...