creutzfeldt-jacob disease is a prion disease which has a wide range of clinical presentations. its diagnosis is not simple and clinical manifestation along with eeg, mr imaging findings and cerebrospinal fluid (csf) analysis should be considered for a definite diagnosis. a-50-year-old woman referred with cognitive impairment, myoclonic jerks, mutism and difficulty in swallowing to our clinic. e...

The target paper aims at recognizing emotions using miscellaneous stimulus domains such as Electroencephalography (EEG) Images. The present study focuses on the recognition of emotions and extracting active regions, by using image processing and classification techniques. The study was performed using the data from 10 volunteers experiencing three emotional states relax, happy and sad. By apply...

Evaluating human-computer interaction is essential as a broadening population uses machines, sometimes in sensitive contexts. However, traditional evaluation methods may fail to combine real-time measures, an “objective” approach and data contextualization. In this review we look at how adding neuroimaging techniques can respond to such needs. We focus on electroencephalography (EEG), as it cou...

Simultaneously recorded electroencephalography (EEG) and functional magnetic resonance imaging (fMRI) can be used to non-invasively measure the spatiotemporal dynamics of the human brain. One challenge is dealing with the artifacts that each modality introduces into the other when the two are recorded concurrently, for example the ballistocardiogram (BCG). We conducted a preliminary comparison ...

A growing number of affective computing researches recently developed a computer system that can recognize an emotional state of the human user to establish affective human-computer interactions. Various measures have been used to estimate emotional states, including self-report, startle response, behavioral response, autonomic measurement, and neurophysiologic measurement. Among them, inferrin...

Objective: We present a new method to effectively remove ballistocardiogram artifacts (BAs) of electroencephalography (EEG), recorded inside a 1.5 T static magnetic field scanner, and conserve the time and frequency features of EEG activity. Methods: The BAs are approximated as deterministically chaotic dynamics. A wavelet-based nonlinear noise reduction (WNNR) method consisting of wavelet tran...

Traumatic Brain Injury (TBI) or also known as a head injury is one of the leading causes death among young people and health problems defined impact, penetration, rapid movement brain within skull that can result in changes mental status often referred to silent epidemic. Head injuries electrophysiological abnormalities seen on electroencephalography (EEG) recordings. Electroencephalography was...

In this paper, a novel method for EEG(Electroencephalography) based emotion recognition is introduced. This uses transfer learning to extract features from multichannel EEG signals, these are then arranged in an 8×9 map represent their spatial location on scalp and we introduce CNN model which takes the feature extracts relations between channel finally classify emotions. First, signals convert...

The occurrence of physiological artifacts generated by eye movements in electrical brain activity (electroencephalography, EEG) is a well-known problem clinical practice. In order to increase the accuracy detection during EEG examination, additional electrooculogram channels (electrooculography, EOG) with standard PC keyboard are used. EOG technique not always comfortable for patients. Another ...

Electroencephalography (EEG) is a useful way to implicitly monitor the user's perceptual state during multimedia consumption. One of primary challenges for practical use EEG-based monitoring achieve satisfactory level accuracy in EEG classification. Connectivity between different brain regions an important property classification EEG. However, how define connectivity structure given task still ...