Využití moderních informačních technologií pro neurorehabilitace pacientů se získaným poškozením mozku

The aim of the project is to improve the quality and effectiveness of neurorehabilitation procedures both in the acute phase of the disease and in the long-term home rehabilitation phase and to facilitate and accelerate the return of patients to a normal family, social and work life and further support their families. Targeted neurorehabilitation methods and procedures and current knowledge of information technologies (human-computer interfaces, web technologies, machine learning methods) are used for this purpose. The benefit of the project is the creation of new, original and individually differentiated technical and program tools for brain stimulation and methods of cognitive and motoric training with respect to individual patient needs.

Brain-driven computer assistance system for people with limited mobility

The brain-driven computer assistance system for people with limited mobility focuses on the design, development, testing and deployment of noninvasive brain-computer interface system based on electroencephalography (EEG) methods. It s aim is to provide communication and control pathways to individuals with severe motor disabilities.

Driver’s attention

A car simulator (Škoda Octavia), operated in neuroinformatics laboratory, is used in experiments examining the driver’s attention during monotonous and dangerous traffic situations. Experiments are based on the method of event related potentials and measurement of peripheral biological signals.

Hardware and software infrastructure for measuring and processing electrophysiological experiments

The research group runs neuroinformatics laboratory, in which experimental data in electroencephalography and event related potential domain are measured, processed, stored and shared. The laboratory is equipped with a recording device BrainAmp produced by the BrainProducts company, car simulator and an electrically and acoustically shielded chamber. The laboratory infrastructure is gradually extended to ensure a full implementation cycle from performing electrophysiological experiments to their final interpretation.

Analysis of EEG in mice

One layer of mouse retina lacks in a certain population of mice due to genetic disorders; mice cannot see. The use of blind mice in some types of experiments is troublesome, and therefore it would be appropriate to reliably diagnose whether a mouse sees or not. Currently, this can be determined reliably only by analyzing microscopic preparation of the eye (after killing the mouse). The aim of the project is the analysis of evoked responses (VEP, respectively. SSVEP) and determination whether the mouse sees or not.

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