• MeSH
• ekonomika lékařská MeSH
• programy řízené péče MeSH
• zdravotnické služby MeSH
• Publikační typ
• periodika MeSH

• Konspekt
• Veřejné zdraví a hygiena
• NLK Obory
• veřejné zdravotnictví

• MeSH
• elektroencefalografie MeSH
• rehabilitace MeSH
• reprodukovatelnost výsledků MeSH
• rozhraní mozek-počítač MeSH
• translační biomedicínský výzkum MeSH
• Publikační typ
• sborníky MeSH

• Konspekt
• Patologie. Klinická medicína
• NLK Obory
• neurologie
• rehabilitační a fyzikální medicína

• MeSH
• elektroforéza MeSH
• erytrocyty MeSH
• lidé MeSH
• Check Tag
• lidé MeSH

• MeSH
• protézy kloubů MeSH

• MeSH
• kardiovaskulární nemoci MeSH
• psychosomatické lékařství MeSH
• Publikační typ
• kongresy MeSH

• Konspekt
• Patologie. Klinická medicína
• NLK Obory
• kardiologie
• angiologie
• psychologie, klinická psychologie

• MeSH
• chemické inženýrství MeSH
• chemický průmysl MeSH
• fyzikální chemie MeSH
• Publikační typ
• periodika MeSH

• Konspekt
• Chemický průmysl. Chemická technologie
• NLK Obory
• chemie, klinická chemie

Brain-computer interface (BCI) provides direct communication between the brain and an external device. BCI systems have become a trendy field of research in recent years. These systems can be used in a variety of applications to help both disabled and healthy people. Concerning significant BCI progress, we may assume that these systems are not very far from real-world applications. This review has taken into account current trends in BCI research. In this survey, 100 most cited articles from the WOS database were selected over the last 4 years. This survey is divided into several sectors. These sectors are Medicine, Communication and Control, Entertainment, and Other BCI applications. The application area, recording method, signal acquisition types, and countries of origin have been identified in each article. This survey provides an overview of the BCI articles published from 2016 to 2020 and their current trends and advances in different application areas.

• MeSH
• elektroencefalografie MeSH
• lidé MeSH
• mozek MeSH
• pomůcky pro komunikaci postižených * MeSH
• rozhraní mozek-počítač * MeSH
• uživatelské rozhraní počítače MeSH
• Check Tag
• lidé MeSH
• Publikační typ
• časopisecké články MeSH
• přehledy MeSH

• MeSH
• koloidy MeSH
• povrchové napětí MeSH
• Publikační typ
• periodika MeSH

• Konspekt
• Chemie. Mineralogické vědy
• NLK Obory
• chemie, klinická chemie

The goal of every human being on our planet is to improve the living conditions not only of his life, but also of all humanity. Digitization, dynamic development of technological equipment, unique software solutions and the transfer of human capabilities into the form of data enable the gradual achievement of this goal. The human brain is the source of all activities (physical, mental, decision-making, etc.) that a person performs. Therefore, the main goal of research is its functioning and the possibility to at least partially replace this functioning by external devices connected to a computer. The Brain-Computer Interface (BCI) is a term which represents a tool for performing external activities through sensed signals from the brain. This document describes various techniques that can be used to collect the neural signals. The measurement can be invasive or non-invasive. Electroencephalography (EEG) is the most studied non-invasive method and is therefore described in more detail in the presented paper. Once the signals from the brain are scanned, they need to be analysed in order to interpret them as computer commands. The presented methods of EEG signal analysis have advantages and disadvantages, either temporal or spatial. The use of the inverse EEG problem can be considered as a new trend to solve non-invasive high-resolution BCI.

• MeSH
• blízká infračervená spektroskopie metody   MeSH
• diagnostické techniky neurologické MeSH
• elektroencefalografie metody   přístrojové vybavení   MeSH
• elektrookulografie metody   MeSH
• lidé MeSH
• magnetická rezonanční tomografie metody   MeSH
• magnetoencefalografie metody   MeSH
• neurozobrazování MeSH
• pozitronová emisní tomografie MeSH
• rozhraní mozek-počítač * MeSH
• zrakové evokované potenciály MeSH
• Check Tag
• lidé MeSH

This computational study investigates the effect of shape (defect contour curvature) and bone-implant interface (osteotomy angle) on the stress distribution within PMMA skull implants. Using finite element methodology, 15 configurations--combinations of simplified synthetic geometric shapes (circular, square, triangular, irregular) and interface angulations--were simulated under 50N static loads. Furthermore, the implant fixation devices were modelled and analysed in detail. Negative osteotomy configurations demonstrated the largest stresses in the implant (275 MPa), fixation devices (1258 MPa) and bone strains (0.04). The circular implant with zero and positive osteotomy performed well with maximum observed magnitudes of--implant stress (1.2 MPa and 1.2 MPa), fixation device stress (11.2 MPa and 2.2 MPa), bone strain (0.218e-3 and 0.750e-4). The results suggest that the preparation of defect sites is a critical procedure. Of the greatest importance is the angle at which the edges of the defect are sawed. If under an external load, the implant has no support from the interface and the stresses are transferred to the fixation devices. This can endanger their material integrity and lead to unphysiological strains in the adjacent bone, potentially compromising the bone morphology required for anchoring. These factors can ultimately weaken the stability of the entire implant assembly.

• MeSH
• analýza metodou konečných prvků MeSH
• analýza zatížení zubů MeSH
• lebka * MeSH
• lidé MeSH
• mechanický stres MeSH
• polymethylmethakrylát MeSH
• protézy a implantáty * MeSH
• rozhraní kost/implantát * MeSH
• zubní implantáty * MeSH
• Check Tag
• lidé MeSH
• Publikační typ
• časopisecké články MeSH
• práce podpořená grantem MeSH