Projects of Department of Theoretical Methods

Project selection:

International projects

MU training – Measurement uncertainty training – MATHMET project to improve quality, efficiency and dissemination of measurement uncertainty training
Tréning v oblasti neistôt merania – MATHMET projekt na zlepšenie kvality, efektívnosti a šírenia zručností v oblasti analýzy neistoty výsledkov merania
Program: Multilaterálne – iné
Duration: 1.10.2021 – 30.9.2023
Project leader: Doc. RNDr. Witkovský Viktor, CSc.
Annotation: Measurement uncertainty is a key quality parameter to express the reliability of measurements and an understanding of measurement uncertainty is often a precondition for advances in science, industry, health, environment, and society in general. However, there is a documented need for a better understanding of measurement uncertainty and its evaluation in many communities and recently this need was restated pointing to the importance of training on measurement uncertainty. Many metrology institutes, universities, national accreditation bodies, authorities in legal metrology, and others offer training on measurement uncertainty. They do so independently, and there is no community of teachers for exchanging expertise or to focus attention. There is no single contact point in Europe, which coordinates efforts, prioritizes needs, or provides an overview of suitable courses and material.Based on a broad consortium this project will improve the quality, efficiency, and dissemination of measurement uncertainty training. The activity will (1) develop new material for measurement uncertainty training and (2) establish an active community for those involved in measurement uncertainty training. In the EU, the European Metrology Network MATHMET is well-suited to host such an activity.
Project website: https://www.euramet.org/european-metrology-networks/mathmet/?L=0
Understanding and modeling compound climate and weather events
Porozumenie a modelovanie združených klimatických a meteorologických javov
Program: COST
Duration: 14.9.2018 – 13.9.2022
Project leader: Mgr. Chvosteková Martina, PhD.
Annotation: Hazards such as floods, wildfires, heatwaves, and droughts usually result from a combination of interacting physical processes that occur across multiple spatial and temporal scales. The combination of physical processes leading to an impact is referred to as a Compound Event. Examples of high-impact Compound Events include (i) droughts, heatwaves, wildfire and/or air pollution and their interactions involving a complex interplay between temperature, humidity and precipitation; (ii) extreme precipitation, river discharge and storm surge interactions, combining coastal storm processes with fluvial/pluvial and ocean dynamics; (iii) storms including clustering of major events leading to spatial and/or temporal dependence.Climate change alters many of these processes and their interaction, making projections of future hazards based on single driver analyses difficult. Impact studies considering only one driver usually fail to assess the extent of the impacts of Compound Events. It is thus not clear whether climate models can capture major changes in risk associated with Compound Events. Existing modelling approaches used to assess risk may therefore lead to serious mal-adaptation.DAMOCLES will (a) identify key process and variable combinations underpinning Compound Events; (b) describe the available statistical methods for modelling dependence in time, space, and between multiple variables; (c) identify data requirements needed to document, understand, and simulate Compound Events, and (d) propose an analysis framework to improve the assessment of Compound Events. DAMOCLES brings together climate scientists, impact modellers, statisticians, and stakeholders to better understand, describe and project Compound Events, and foresees a major breakthrough in future risk assessments.
Project website: https://www.cost.eu/actions/CA17109
ReHaB – Towards an ecologically valid symbiosis of BCI and head-mounted VR displays: focus on collaborative post-stroke neurorehabilitation
Smerovanie k spoľahlivej a uživateľsky prijateľnej symbióze BCI a VR: zameranie na kolaboratívnu neurorehabilitáciu po cievnej mozgovej príhode
Program: ERANET
Duration: 1.1.2022 – 31.12.2024
Project leader: Ing. Mgr. Rosipal Roman, DrSc.
Annotation: A growing body of evidence suggests that integrated technologies of brain-computer interfaces (BCI) and virtual reality (VR) environments provide a flexible platform for a series of neurorehabilitation therapies, including significant post-stroke motor recovery and cognitive-behavioral therapy. When immersed in such an environment, the subject\’s perceptual level of social interaction is often impaired due to the sub-optimal quality of the interface lacking the social aspect of human interactions.The project proposes a user-friendly wearable low-power smart BCI system with an ecologically valid VR environment in which both the patient and therapist collaboratively interact via their person-specific avatar representations. On the one hand, the patient voluntarily, and in a self-paced manner, manages their activity in the environment and interacts with the therapist via a BCI-driven mental imagery process. This process is computed and rendered in real-time on an energy-efficient wearable device. On the other hand, the therapist\’s unlimited motor and communication skills allow him to fully control the environment. Thus, the VR environment may be flexibly modified by the therapist allowing for different occupational therapy scenarios to be created and selected following the patient\’s recovery needs, mental states, and instantaneous responses.
European network for advancing Electromagnetic hyperthermic medical technologies.
Európska sieť pre pokrok v elektromagnetických hypertermických medicínskych technológiách
Program: COST
Duration: 4.9.2018 – 3.9.2022
Project leader: Mgr. Teplan Michal, PhD.
Annotation: Electromagnetic (EM) hyperthermic technologies hold great potential in the treatment of diseases, especially for cancers that are resistant to standard regimens. These technologies modify tissue temperature: hyperthermia heats the diseased tissue to make it susceptible to treatments, and ablation heats the tissue until it is destroyed. Hyperthermia is particularly effective in treatment of cervical and breast cancer, head and neck cancers, sarcoma in adults, and germ cell tumours in children; while radiofrequency and microwave ablation offer promise for treating liver, kidney, and lung cancers.Overall, these techniques have shown significant potential and there is substantial opportunity to solidify their use clinically and to apply them to a wider range of medical conditions. However, underpinning the development of these techniques is the need for accurate knowledge of the dielectric and thermal properties of tissues, which provide the foundation for these technologies and de-risk the technical challenge before commercialization. Furthermore, contributing to the stagnant market of EM hyperthermic medical devices is the fact that, often researchers working on the development of medical technologies are not fully aware of, and not trained to address, the clinical and commercialisation challenges facing novel medical devices. To address these challenges, the MyWAVE Action takes a holistic approach by bringing together key players in the field of dielectric spectroscopy, translational research, and medical professionals. Conjoining these varied communities into one collaborative network is critical to advance the design, development, and commercialisation of EM hyperthermic technologies, so that they can reach patients faster and improve treatment outcomes.
Project website: www.cost.eu/actions/CA17115

National projects

Causal analysis of measured signals and time series
Kauzálna analýza nameraných signálov a časových radov
Program: VEGA
Duration: 1.1.2022 – 31.12.2025
Project leader: RNDr. Krakovská Anna, CSc.
Annotation: The project is focused on the causal analysis of measured time series and signals. It builds on the previous results of the team, concerning the generalization of the Granger test and the design of new tests in the reconstructed state spaces. The aim of the project is the development of new methods for bivariate and multidimensional causal analysis. We will see the investigated time series and signals as one-dimensional manifestations of complex systems or subsystems. We will also extend the detection of causality to multivariate cases – dynamic networks with nodes characterized by time series. Such complex networks are common in the real world. Biomedical applications are among the best known. Brain activity, determined by multichannel electroencephalographic signals, is a crucial example. We want to help show that causality research is currently at a stage that allows for ambitious goals in the study of effective connectivity (i.e., directed interactions, not structural or functional links) in the brain.
Probability distributions and their applications in modelling and testing
Rozdelenia pravdepodobnosti a ich aplikácie v modelovaní a testovaní
Program: VEGA
Duration: 1.1.2021 – 31.12.2023
Project leader: Doc. RNDr. Witkovský Viktor, CSc.
Annotation: The project is focused on the research of complex problems related to probability distributions and their use in mathematical modeling and tests of statistical hypotheses, where it is necessary to know the distributions of test statistics. A new broad family of probability distributions will be investigated. Many commonly used distributionsare special cases of this family. New approaches to multivariate statistical problems will be developed (an error-in-variables linear model, nonparametric statistical inference about several populations, nonparametric independence tests, detection of causality). A new apparatus of mathematical statistics will be applied to mathematical models in metrology, linguistics, demography, and insurance mathematics.
Smart deep brain stimulation as a treatment strategy in treatment-resistant depression
Inteligentná hĺbková mozgová stimulácia ako inovatívna stratégia pre liečbu mozgových porúch
Program: VEGA
Duration: 1.1.2022 – 31.12.2025
Project leader: Ing. Mgr. Rosipal Roman, DrSc.
Annotation: Impaired connectivity between different brain areas underlines the pathophysiology of multiple brain disorders. It is possible that impaired connectivity between the prefrontal cortex and ventral pallidum is involved in depression. Smart deep brain simulation, combining real-time detection of the neuronal activity in the prefrontal cortex with the stimulation of the ventral tegmental area might be thus effective in depression. We aim to examine the cortico-tegmental connectivity and to test the antidepressant-like effectiveness of the smart deep brain stimulation in an animal model of depression.
Investigation of biomedical effects of low frequency and pulsed electromagnetic fields
Výskum biomedicínskych účinkov nízkofrekvenčných a pulzných elektromagnetických polí
Program: VEGA
Duration: 1.1.2022 – 31.12.2024
Project leader: Mgr. Teplan Michal, PhD.
Annotation: Although there is a persisting interest in both adverse and beneficial biological effects of electromagnetic fields(EMF), the unambiguous explanation of electromagnetic field influence on living structures is still lacking. For theimpact of low-frequency magnetic field (LF MF) experimental platform with monitoring of the cell growth curve based on impedance spectroscopy will test possible inhibition or stimulation dependent on the frequency and magnetic flux parameters. Effects of pulsed electric field (PEF) will be monitored by biological autoluminescence (BAL). Complexity measures will be utilized for ultrafast current recordings during the PEF application. For quantification of direct effects of PEF on microtubules (MT) and evaluation of kinesin molecule movement, advanced image processing methods will be developed. The relevance of this research area lies in theexploration of physical methods with possible contributions to diagnostics and therapy.
DIMPP – Development of innovative methods for primary metrology torque forces by force effects of the conventional standards
Vývoj inovatívnych metód pre primárnu metrológiu momentu sily aplikáciou silových účinkov konvenčnej etalonáže
Program: APVV
Duration: 1.7.2019 – 30.6.2022
Project leader: Doc. RNDr. Witkovský Viktor, CSc.
Annotation: Torque is one of the main indicators for testing, respectively. testing a wide range of rotating machines and equipment. Measurements in the area over the last decades show a growing trend in terms of both quantity and quality requirements. This factor is also contributing to the growth of the automotive industry in Slovakia. Measuring momentum is inherently related to metrological continuity and the development of both industrial and secondary metrology. At present, however, the SR does not have a laboratory which, with its technical equipment and metrological quality, represents the highest level of primary metrology. The momentary force calibration laboratories in the SR are forced to look for sources of metrological continuity abroad. The aim of the project is therefore to lay the foundations of primary momentum metrology.