This work presents the experimental design for recording Electroencephalography (EEG) signals in 20 test subjects submitted to Steady-state visually evoked potential (SSVEP). The stimuli were performed with frequencies of 7, 9, 11 and 13 Hz. Furthermore, implementation a classification system based on SSVEP-EEG from occipital region brain obtained Emotiv EPOC device is presented. These data use...

Patients with absence epilepsy fail to report almost 90% of their seizures. The clinical gold standard assess seizures is video-electroencephalography (vEEG) recorded in the hospital, an expensive and obtrusive procedure which requires also extended reviewing time. Wearable sensors, allow recording electroencephalography (EEG), accelerometer gyroscope have been used monitor epileptic patients h...

The idea of robotic therapy has been considered as a possible rehabilitation strategy to facilitate recovery the patients with disability and it can represent an efficient treatment. Brain-computer interface (BCI) is known advanced technology great potential in therapeutic assistive robots. This paper presented review application BCI systems through combination electroencephalography (EEG) func...

There are only a few reports on Go-induced epilepsy. We hereby report case of epilepsy and its ictal electroencephalography (EEG) findings, treatment. A 71-year-old man reported to our hospital for seizures that lasted several minutes after he had played Go approximately an hour. Ictal EEG showed focal bilateral tonic-clonic right parietal origin. He was administered levetiracetam 500 mg before...

-Electroencephalography is the simple method of recording and measuring electrical activity of brain. This brain signal is amplified and resulting in electroencephalogram (EEG). EEG is non-invasive tool used in monitoring brain activities and diagnosis of many neurological disorder. The main challenge of EEG is the small signal amplitude and its sensitivity to noise because of which it demands ...

An electroencephalography (EEG) based brain activity recognition is a fundamental €eld of study for a number of signi€cant applications such as intention prediction, appliance control, and neurological disease diagnosis in smart home and smart healthcare domains. Existing techniques mostly focus on binary brain activity recognition for a single person, which limits their deployment in wider and...

Electroencephalography (EEG) is a non-invasive technology used for the human brain-computer interface. One of its important applications evaluation mental state an individual, such as workload estimation. In previous works, common spatial pattern feature extraction methods have been proposed EEG-based detection. Recently, several novel were introduced to detect EEG workloads. However, it still ...

The article considers modern technologies for reading signals from the human brain and nervous system selects optimal technology to improve efficiency of adult learning with help a neurocomputer interface. Existing brain-computer interfaces (BCI) can be divided into invasive non-invasive. first, BCIs, are neuroimplants in certain parts that work on basis electrocorticography (ECOG) or intracran...

Abstract Processing of threat-related emotional body language (EBL) has been shown to engage sensorimotor cortical areas very early and induce freezing in the observers’ motor system, particularly when observing fearful EBL. We hypothesized that sensory vigilance induced by aversive contents may be mechanism which processing EBL enhance inhibition. To test this hypothesis, we used high-density ...

In this paper we describe two studies in which Brain Computer Interfaces (BCI) can be used to achieve and evaluate creativity. The two studies use electroencephalography (EEG) and functional nearinfrared spectroscopy (fNIRS) as instruments for gathering brain data.