Event-related brain dynamics of electroencephalographic (EEG) activity in a continuous compensatory tracking task (CTT) and in a continuous driving simulation were analyzed by independent component analysis (ICA) and time-frequency techniques. We showed that changes in the level of subject performance are accompanied by distinct changes in EEG spectrum of a class of bilateral posterior independ...

In the field of neurology ElectroEncephaloGraphic (EEG) measurements constitute one of the tools for today's clinical misdiagnosis. The interval years knowledge of specialists in the interpretation of individual disorders neurological dysfunction is based on collected records in both paper and electronic form. Even though the collected numerous databases records EEG interpretation and the fault...

In this thesis, we want to study the EEG relates of surprising status and driving style. Accidents usually caused by lack of alertness and awareness have a high fatality rate especially in night driving environments. It becomes extremely dangerous in some situations such as the appearance of an unexpected obstacle in the middle of the road. Combining the technology of virtual reality (VR), a re...

In this paper we describe a new method for EEG signal classification in which the classification of one subject’s EEG signals is based on features learnt from another subject. This method applies to the power spectrum density data and assigns class-dependent information weights to individual features. The informative features appear to be rather similar among different subjects, thus supporting...

The objective of this study is development of driver's sleepiness using Visually Evoked Potentials (VEP). VEP computed from EEG signals from the visual cortex. We use the Steady State VEPs (SSVEPs) that are one of the most important EEG signals used in human computer interface systems. SSVEP is a response to visual stimuli presented. We present a classification method to discriminate between cl...

Repetitive transcranial magnetic stimulation (rTMS) is a rapidly expanding mean in drug resistant depression treatment. Yet, despite vast research in this field, exact neurophysiological mechanism of rTMS therapy still remains unclear. This results in difficulties choosing suitable rTMS parameters in advance and compromises thorough evaluation of efficacy after the treatment. In order to obtain...

Electroencephalographic changes have been studied in a group of 32 men aged 30-65 (mean 49) with diagnosed chronic toxic encephalopathy. The group had been carefully scrutinised for other possible causes of brain dysfunction and the diagnosis was based on neuraesthenic symptoms and pathological psychometric performance. The EEGs were recorded from four areas of the brain and the power spectrum ...

OBJECTIVE We examined how psychotropic medications affected quantitative EEG (qEEG) results among patients with a schizophrenia-spectrum disorder. METHODS The drugs were clustered into nine groups depending on their mechanism. We hypothesized that drugs would affect the relative power shown in qEEG results independently and investigated the effect of each drug group on relative power using mu...