Alina Nechyporenko

• Doctor of Engineering Sciences
• Professor at Kharkiv National University of Radio Electronics

Current paper highlights the topical problem of rhinomanometric data handling designed to create the approach to differential diagnostics in practice. Being the important technique to explore respiratory function rhinomanometric study is complicated by the lack of formalized diagnostic criteria. Thus, the goal of the present work is to search an ef...

Aerodynamic characteristics of nasal airflow are important for obstruction problems detection. In clinical practice, we analyze behavior of hydrodynamic resistance coefficient. This paper proposes a component of real-time automated system for rhinomanometric measurements. The component is a real-time alert to help users define a correct measurement...

A LARS-based method is proposed for constructing a fuzzy regression model. Peculiarities of the use of fuzzy regression analysis for medical diagnosis are considered. The method allows one to reduce the number of parameters of the model that exert influence on the predictable degree of nasal obstruction and to avoid the risk of “overtraining” of th...

The report reflects an agreement based on the consensus conference of the International Standardization Committee on the Objective Assessment of the Nasal Airway in Riga, 2nd Nov. 2016. The aim of the conference was to address the existing nasal airway function tests and to take into account physical, mathematical and technical correctness as a bas...

Microbiome research, the study of microbial communities in diverse environments, has seen significant advances due to the integration of deep learning (DL) methods. These computational techniques have become essential for addressing the inherent complexity and high-dimensionality of microbiome data, which consist of different types of omics dataset...

This study investigates stress recognition using galvanic skin response (GSR) and photoplethysmography (PPG) data and machine learning, with a new focus on air raid sirens as a stressor. It bridges laboratory and real-world conditions and highlights the reliability of wearable sensors in dynamic, high-stress environments such as war and conflict zo...

(1) Background: Detecting people and technical objects in various situations, such as natural disasters and warfare, is critical to search and rescue operations and the safety of civilians. A fast and accurate detection of people and equipment can significantly increase the effectiveness of search and rescue missions and provide timely assistance t...

Detecting people and technical objects in various situations, such as natural disasters and warfare, is critical to search and rescue operations and the safety of the civilian. A fast and accurate detection for people and equipment can significantly increase the effectiveness of search and rescue missions and provide timely assistance to people. Co...

The object of the study is the process of identifying the state of a computer network. The subject of the study are the methods of identifying the state of computer networks. The purpose of the paper is to improve the efficacy of intrusion detection in computer networks by developing a method based on transformer models. The results obtained. The w...

The human microbiome has become an area of intense research due to its potential impact on human health. However, the analysis and interpretation of this data have proven to be challenging due to its complexity and high dimensionality. Machine learning (ML) algorithms can process vast amounts of data to uncover informative patterns and relationship...

The rapid development of machine learning (ML) techniques has opened up the data-dense field of microbiome research for novel therapeutic, diagnostic, and prognostic applications targeting a wide range of disorders, which could substantially improve healthcare practices in the era of precision medicine. However, several challenges must be addressed...

Smart systems and data-driven services have the potential to answer medical needs in nanomedicine to get faster to the clinic and manufacturing stage. As an example from galenics, we explored the molecular packing within nanoparticles composed of fullerene C60 (C60) and the anthracycline antibiotic doxorubicin (Dox); the nanoparticle was previously...

Microbiomic analysis of human gut samples is a beneficial tool to examine the general well-being and various health conditions. The balance of the intestinal flora is important to prevent chronic gut infections and adiposity, as well as pathological alterations connected to various diseases. The evaluation of microbiome data based on next-generatio...

The share of chronic odontogenic rhinosinusitis is 40% among all chronic rhinosinusitis. Using automated information systems for differential diagnosis will improve the efficiency of decision-making by doctors in diagnosing chronic odontogenic rhinosinusitis. Therefore, this study aimed to develop an intelligent decision support system for the diff...

Diagnosis of cardiovascular diseases is an urgent task because they are the main cause of death for 32% of the world’s population. Particularly relevant are automated diagnostics using machine learning methods in the digitalization of healthcare and introduction of personalized medicine in healthcare institutions, including at the individual level...

This paper analyses the topology of a regional power system distribution grid. This research improves the efficiency of the electric power system's operation by using upgrading the redesign (reengineering) methods of topological structures within distribution grids. The research object is an electric power system that consists of generation, transm...

Background Microscopic examination of human blood samples is an excellent opportunity to assess general health status and diagnose diseases. Conventional blood tests are performed in medical laboratories by specialized professionals and are time and labor intensive. The development of a point-of-care system based on a mobile microscope and powerful...

Background. There are many questions regarding the peculiarities of the course of odontogenic maxillary sinusitis, the likelihood of complications and the correct dosage of load during dental implantation. Purpose – to identify changes in minimal bone density in chronic odontogenic maxillary sinusitis and to compare it with chronic rhinogenic catar...

Introduction Application of automated analysis currently occupies a leading position in every field of science and technology. The aim of our study was to provide a complex automatic determination of morphological parameters for bone tissue in human paranasal sinuses. Materials and Methods The study involved 50 patients aged 20 to 60, male and fem...

Today, academic researchers benefit from the changes driven by digital technologies and the enormous growth of knowledge and data, on globalisation, enlargement of the scientific community, and the linkage between different scientific communities and the society. To fully benefit from this development, however, information needs to be shared openly...

Today, academic researchers benefit from the changes driven by digital technologies and the enormous growth of knowledge and data, on globalisation, enlargement of the scientific community, and the linkage between different scientific communities and the society. To fully benefit from this development, however, information needs to be shared openly...

The course of menopause transition (MT) is associated with peculiarities of alterations occurring in a woman’s body, in particular, in the structure of bone tissue. Considering that bones of the paranasal sinuses (BPNSs) play a natural defense role against the spread of dental infection, their structure is important in dentistry. However, no inform...

Research publications and data nowadays should be publicly available on the internet and, theoretically, usable for everyone to develop further research, products, or services. The long-term accessibility of research data is, therefore, fundamental in the economy of the research production process. However, the availability of data is not sufficien...

Research publications and data nowadays should be publicly available on the internet and, theoretically, usable for everyone to develop further research, products, or services. The long-term accessibility of research data is, therefore, fundamental in the economy of the research production process. However, the availability of data is not sufficien...

Spiral computed tomography (SCT) is the most accessible and informative imaging method. Medical specialists face a number of difficulties with searching of CT-images. The goal of our study was to optimize interpretation of the data of radiological methods used for assessment of the paranasal sinuses (PNSs) with estimation of measurement uncertainty...

This paper describes the intelligent information system of heterogeneous medical data analysis for Ear Nose Throat (ENT) domain. Machine learning (ML) methods for medical data processing are analyzed. The scenario of machine learning algorithms for data processing in intelligent information system was developed. Supervised learning algorithms for c...

Active anterior rhinomanometry is important method for diagnosis of rhinological disorders. This paper presents the new approach for feature extraction based on chaos theory for tasks of rhinology. It has been demonstrated that rhinomanometric signals have a fractal properties. The usage of phase space diagram for feature extraction for rhinomanome...

The paper presents a new approach for processing of rhinomanometric signals based on F-transform approximation of phase diagrams. Methods of nonlinear dynamics for processing of time series allow us to obtain a significant features of rhinomanometric signals. Research indicated that the results of classification with F-transform approximation is mo...

Electromagnetic situation indoors in the presence of random inhomogeneities from the point of view of their danger was considered. Using density of the energy as the normalized value for protection of the medical staff from the influence of electromagnetic radiation was discussed.

The Active Anterior Rhinomanometry method for an objective assessment of nasal breath is carried out. The preprocessing's methods for rhinomanometric data were analyzed. It was proposed to use the method of fuzzy approximation based on F-transform for preprocessing of rhinomanometric signals.