This paper addresses the question how music information retrieval techniques originally developed to process audio recordings can be adapted for the analysis of corresponding brain activity data. In particular, we conducted a case study applying beat tracking techniques to extract the tempo from electroencephalography (EEG) recordings obtained from people listening to music stimuli. We point ou...

80 panic disorder patients were diagnosed with electroencephalography (EEG). The study was electroencephalographic (EEG) changes of Panic Disorder in West Uttar Pradesh,India. objectives 1) To examine the EEG patients. 2)To explore clinical features for diagnosis and their association EEG. A large group having showed abnormal associated features. pathophysiology behind is not clarified. interpr...

The epilepsy surgery database from 1984 to 2012 at the National Institutes of Health (NIH) was reviewed to determine the association of postoperative electroencephalography (EEG) with seizure recurrence. Eighty-three patients were analyzed, with 41 having at least 5 years of follow-up. The relationship between epileptiform postoperative EEG findings and seizure recurrence at 1, 2, and 5 years w...

Two major non-invasive techniques in cognitive neuroscience, electroencephalography (EEG) and functional magnetic resonance imaging (fMRI), have complementary advantages with regard to their spatial and temporal resolution. Recent hardware and software developments have made it feasible to acquire EEG and fMRI data simultaneously. We emphasize the potential of simultaneous EEG and fMRI recordin...

Electroencephalography (EEG) has received much attention because it provides comprehensive information of human perception and is relatively spaceand costeffective compared with the other functional brain imaging methods. In this paper, we present an approach to model undirected and directed cross-regional dependence of EEG signals with convolutional neural networks (CNNs). It considers the bra...

Brain Computer Interface (BCI) is a robot/machine communication based on brain activity. The main purpose of BCIs are facilitate the living of disables which has hearing, vision or mobility disabilities. The first and most basic step of the implementation of this system is obtain the recordings of brain signals known as Electroencephalography (EEG). In this study, we aimed to obtain regular EEG...

Electromagnetic data collected using electroencephalography (EEG) and magnetoencephalography (MEG) are of central importance for psychophysiological research. The scope of concepts, methods, and instruments used by EEG/MEG researchers has dramatically increased and is expected to further increase in the future. Building on existing guideline publications, the goal of the present paper is to con...

Electroencephalography (EEG) is an emerging signal in biosignals. It can indicate the electrical activity of brain. Consequently, it can be applied to biosignals acquisition systems to reduce the data rate to realize risk factors and diagnosis performance. They are highly process in nature and it also contains useful information about the brain state. In this review, I have discussed about dise...