National Repository of Grey Literature 124 records found  beginprevious121 - 124  jump to record: Search took 0.00 seconds. 
Mental and social problematic of patients with epilepsy
ŠIŠKOVÁ, Lenka
This bachelor paper deals with a disease which admittedly belongs among the most frequent neurologic diseases but which the general public have little sympathy for and which often arouses fears and worries. These concerns are caused by bad or insufficient awareness of this disease. Epilepsy brings the sick person a certain stigma and cause psychosocial problems.
Problems informedness of family members about offer of nursing to patients suffering from epilepsy
SCHWARZOVÁ, Blanka
The bachelor{\crq}s thesis titled ``The Issue of Family Members´ Awareness of Caring for Patients Suffering from Epilepsy{\crqq} deals with the field of knowledge and information that should be provided to members of families of patients suffering from epilepsy. For the thesis, goals and assumed hypotheses were defined; quantitative research was applied to verify them. Respondents from two selected workplaces took part in the research. The results of the research work show that close relatives of patients have certain basic knowledge of the disease, but the information they receive are not complete, not to say exhausting. There are areas, in which the patients and their family members tend to follow various prejudices and superstitions rather than scientific information, though they are expected to participate in caring for the patients. On the basis of the research, there was an attempt to define areas, in which respondents did not have enough important information, and to concentrate on them within more in-depth education of patients and their relatives.
Separace epilepticke aktivity v zaznamech elektroencefalografu pomoci ctyr metod analyzy nezavislych komponent.
Tichavský, Petr ; Nielsen, Jan ; Krajča, V.
The presented study aims to evaluate possibility of separation of epileptic activity from the EEG data using two well known and two recently proposed algorithms for independent component analysis (ICA): FastICA, EFICA, SOBI and WASOBI. All these techniques are shown to allow to concentrate an epileptic activityin two epilepsy-related independent components out of 19 channel EEG recordings. Among the techniques, the WASOBI was shown to be a most effective one.
Synchronization and Information Flow in EEG of Epileptic Patients
Paluš, Milan ; Komárek, V. ; Hrnčíř, Z. ; Štěrbová, K.
An information-theoretic approach for studying synchronization phenomena in experimental time series is presented and demonstrated in analysis of EEG recordings of an epileptic patients. Two levels of synchronization leading to seizures are quantified and "directions of information flow" (drive-response relationships) are identified.

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