Biomedical Electronics

Team composition:

• Shchapov P.F., D.Eng.Sc., Professor
  Kolesnik K.V., Ph.D., Associate Professor

Brief project description:

The research is focused on the development of mathematical models and computational methods that optimize medical measures for shrapnel injuries in military field surgery. Using simulations and modeling algorithms, various scenarios of tissue damage, bleeding, and the body’s response to interventions are analyzed. This enables forecasting of complications, faster decision-making on-site, and adaptation of treatment protocols to the individual characteristics of the patient. Developed methods aim to improve diagnostic accuracy, surgical efficiency, and resource optimization in extreme conditions of combat injuries.

Application fields:

The developed mathematical models and computational methods find wide applications in the following areas:

• Military medicine and combat assistance: Enhancing the quality of medical care in field conditions, optimizing evacuation processes for the wounded, and planning complex surgical interventions in combat zones.
• Training simulations and education: Creating realistic simulators for the training of military and medical personnel, allowing practice of response algorithms for shrapnel injuries and virtual rescue actions.
• Telemedicine and remote consultation: Using models to provide real-time support and consultation for field doctors by remote experts, ensuring better treatment outcomes with limited resources.
• Clinical planning and resource optimization: Adapting treatment protocols to individual patient characteristics and current conditions, enabling the most efficient use of limited medical resources.
• Scientific research and development: Employing models for data analysis, conducting experiments, and evaluating new approaches in trauma treatment, promoting innovation in medicine and surgery.

These directions contribute to improving the quality of care for injuries, reducing decision-making time, and increasing the efficiency of medical interventions under extreme conditions.

Project status:

The project is currently in an active stage of development and validation. Key achievements include:

• Development of foundational mathematical models: Initial algorithms and simulations have been created, modeling the dynamics of shrapnel injuries and the body’s response to various medical interventions.
• Preliminary testing and validation: A series of computer experiments using historical medical data has been conducted to verify the models’ accuracy. Results confirm the methods’ potential for field application.
• Collaboration with medical and military experts: Close coordination with practicing specialists allows for the adaptation of models to the realities of military field surgery and refinement of computational system requirements.
• Integration into simulation environments: Developments include creating prototypes of simulators and training systems for medical personnel to practice response to shrapnel injuries.

Future stages of the project plan to improve models based on feedback, expand computational algorithms for more accurate complication prediction, and integrate solutions into telemedicine systems for real-time support of field doctors.

Contact person:

Associate Professor of the Department of Applied Biomedical Engineering Kolesnik K.V.. e-mail: Kostiantyn.Kolisnyk@khpi.edu.ua

Team composition:

• Shyshkin M.A., Ph.D., Associate Professor
  Kulichenko V.V., Ph.D., Associate Professor

Brief project description:

• Development of new methods for predicting spontaneous hidden pathologies of cardiac activity based on the analysis of electrocardiographic data and Holter monitoring data. Specifically, predicting the onset of atrial fibrillation.
• The methodology aims to identify statistically significant features that indicate the approach of a critical heart condition in both short-term and long-term observation intervals.

Application fields:

Diagnosis of cardiac activity disorders during electrocardiographic procedures and Holter monitoring of ECG.

Project status:

A mathematical model has been developed to identify the onset of atrial fibrillation. Using cumulative statistics methods, the possibility of short-term prediction of fibrillation has been analyzed.

Publications on the topic:

Matlab model of an ECG signal generator based on frequency transformation / M. A. Shyshkin [et al.] // Bulletin of the National Technical University “KhPI”. Series: New Solutions in Modern Technologies: Collection of Scientific Papers – Kharkiv: NTU “KhPI”, 2018. – № 26 (1302), Vol. 1 – Pp. 140-147. DOI:20998/2413-4295.2018.26.20
Shyshkin M. A. Comparative evaluation of ECG signal compression methods for telemedicine tasks / M. A. Shyshkin, K. V. Kolesnik // Bulletin of the National Technical University “KhPI”: Collection of Scientific Papers. Special Issue: New Solutions in Modern Technologies – Kharkiv: NTU “KhPI”. – 2014. – № 36 (1079). – Pp. 149-155.

Contact person:

Associate Professor of the Department of Applied Biomedical Engineering Shyshkin M.A.. e-mail: mykhailo.shyshkin@khpi.edu.ua

Brief project description (development):

Creation of a mathematical description of multifactorial hydraulic processes occurring in the patient’s body during fluid removal in the programmed hemodialysis procedure. Development of a method for timely completion of the procedure upon achieving the patient’s “dry weight” state.

Application field:

Determining the hydration status of patients during programmed hemodialysis procedures in outpatient departments and even intensive care units.

Project status:

A mathematical model of fluid movement in the body during ultrafiltration has been developed and studied. A method for determining the “dry weight” of patients has been developed, which, unlike existing methods, allows continuous monitoring of ultrafiltrate volume components using bioimpedance measurement methods. This enables non-invasive, automated, and objective determination of the moment when the state of normohydration is achieved during programmed hemodialysis. A structural diagram of the device and an algorithm for the safe achievement of “dry weight” have also been developed.

Implementation period: 1 year.

• First 6 months: Development of circuit solutions for determining the patient’s “dry weight.”
• Last 6 months: Development of device software. Testing.

Expected results:

Creation of a prototype device for determining the “dry weight” of a patient during programmed hemodialysis.

Contact person:

Team composition:

• Tomashyevskyi R.S., Ph.D., Associate Professor
• Korol Ye.I., Ph.D., Associate Professor
• Zoltman Olga, Postgraduate

Student group:

• Korneyeva K.R., 6th year
• Dotsenko Z.O., 6th year

Description:

Utilization of intelligent information technology for processing biomedical random measurement signals (ECG, EEG, EMG) to construct metric scales of diagnosed states (quantitative state 50-100), allowing multi-alternative diagnostics at a level of 0.999.

Current projects:

Research on models of spectral nonstationary random biopotential signals arising in biochemical objects under the influence of regulated dynamics of factor levels.

Contact person:

Tomashyevskyi Roman Serhiyovych e-mail: Roman.Tomashevskyi@khpi.edu.ua

Team composition:

• Tomashyevskyi R.S., Ph.D., Associate Professor
• Vikarii Ye.H., Postgraduate

Student group:

• Korneyeva K.R., 6th year
• Dotsenko Z.O., 6th year

Description:

Development of a biomechanical measurement device for obtaining metrological justifications of multidimensional measurement information regarding random changes induced by the mechanical impact on biopotentials, with control of spectral nonstationarity.

Current projects:

Development of a biomechanical measurement device and metrological support for dynamic regulation of mechanical load factors on biological samples.

Contact person:

Tomashyevskyi Roman Serhiyovych e-mail: Roman.Tomashevskyi@khpi.edu.ua

Team composition:

• Shyshkin M.A., Ph.D., Associate Professor
• Kolesnik K.V., Ph.D.

Student group:

• Papirnyi D.
• Ogarkova I.

Description:

The group focuses on the development and research of methods and devices for remote monitoring of physiological parameters of the human body. In particular, the creation of a portable telemedicine device for exchanging biomedical data via wireless communication channels.

Current projects:

• Mobile system for telemedicine diagnostics and control of biomedical parameters of biological objects.
• Development of methods for comprehensive diagnostics of the functional state of biological objects based on multiparametric evaluation of mobile IoT sensors with adaptive structural organization.
• Development of methods for comprehensive diagnostics of the functional state of biological objects based on multiparametric evaluation of mobile IoT sensors with adaptive structural organization.

Team composition:

• Tomashyevskyi R.S., Ph.D., Associate Professor
• Korol Ye.I., Ph.D., Associate Professor
• Makhonin N.V., Postgraduate

Student group:

• Semenchenko M.Yu.

Description:

The group specializes in the design and research of technical devices for determining parameters of human external respiration function. Their work includes modeling and developing air volumetric flow sensors, improving the accuracy and sensitivity of flowmeters, as well as the design and study of spirometers.

Current projects:

• Digital portable spirometer with a turbine sensor.
• Determination and study of the conversion function of turbine gas flowmeters.

Contact person:

Tomashyevskyi Roman Serhiyovych Email: Roman.Tomashevskyi@khpi.edu.ua

Team composition:

• Barkhotkina T.M., M.D., Associate Professor
• Bernadska T.V., Postgraduate
• Dolinin D.A.

Description:

Determination of functional parameters of erythrocytes through mathematical processing of their holographic images followed by statistical analysis. This method enables the diagnosis of diseases at the membrane level and the selection of appropriate therapy that adheres to international WHO standards for diagnosis and treatment.

Current projects:

Holographic system for determining the state of erythrocyte plasma membranes.

Contact person:

Tomashyevskyi Roman Serhiyovych Email: Roman.Tomashevskyi@khpi.edu.ua

Team composition:

• Sokil Yevhen Ivanovych, Doctor of Engineering Sciences, Professor
• Kolesnik K.V., Ph.D.
• Chmykhova O.V., Postgraduate

Description:

Development of medical devices and systems based on physiologically adequate models of physiological processes. Through modeling, the goal is to derive functional characteristics of diagnostic systems that are inaccessible for direct measurement from available integrated clinical data.

Publications on the topic:

• Modeling a homeostatic carbohydrate regulation system considering age-related changes – Scientific papers of Donetsk National Technical University. – 2012. – Issue 23 (196). – Pp. 124-138.
• Automation of glycemic dynamics regulation based on its mathematical modeling – Collection of scientific papers of Kharkiv Air Force University. – 2012. – № 4 (33). – Pp. 154-160.
• Development of an automated medical diagnostic system – Information Processing Systems. Collection of scientific papers. – 2012. – Issue 7 (105). – Pp. 221-225.
• Early objective diagnosis of type 2 diabetes based on OGTT data – Collection of scientific papers SWorld. Materials of the international scientific-practical conference “Scientific research and its practical application. Current state and development paths ‘2012”. – Issue 3 Volume 34. – Odessa: KUPRIENKO, 2012. – CITE: 312-083 – Pp. 43-46.
• Simulation modeling of insulinemia for the creation of an automated diagnostic system – Information Processing Systems. Collection of scientific papers. – 2013. – Issue 1 (108). – Pp. 229-232.
• Development of a theory of modeling transient processes in complex homeostatic systems – Scientific papers of Donetsk National Technical University. Series: Computer Technology and Automation. Issue 1 (26). – Donetsk: DonNTU, 2014. – Pp. 29-35.
• Functional approach to modeling complex homeostatic systems with local inertia – Information Processing Systems. Collection of scientific papers. – 2014. № 5 (121) Pp. 146-149.
• Computerized early diagnosis of diabetes using mathematical modeling methods – Bulletin of NTU “KhPI”: Collection of scientific papers. Thematic issue: New solutions in modern technologies – Kharkiv: NTU “KhPI”. – 2014. – № 36 (1079). – Pp. 55-61.
• Negative feedback by parameter in a homeostatic oscillatory system – Bulletin of NTU “KhPI”: Collection of scientific papers. Thematic issue: New solutions in modern technologies – Kharkiv: NTU “KhPI”. – 2014. – № 36 (1079). – Pp. 66-72.
• Calculation of insulin therapy regimens based on mathematical computer modeling – Bulletin of NTU “KhPI”: Collection of scientific papers. Thematic issue: New solutions in modern technologies – Kharkiv: NTU “KhPI”. – 2014. – № 36 (1079). – Pp. 61-66.
• Neural network diagnosis of IGT based on OGTT patient data – Collection of scientific papers SWorld. Issue 1 (38), Volume 25, 2015, Pp. 88-91.

Current projects:

• Development of a system for replacement insulin therapy for type 2 diabetes (T2D).
• Diagnostic system for detecting impaired glucose tolerance (latent type 2 diabetes).

Contact person:

Lapta Stanislav Serhiyovych Email: stas69@ukr.net

Team composition:

• Domaryov A.P.

Student group:

• Batachenko S.M.

Description:

Determination of the antioxidant activity of food products using the coulometric titration method with electrogenerated bromine, along with the creation of a device employing this method.

Publications on the topic:

YSF 2016. Device for the Integrated Evaluation of Antioxidant Activity of Foods.

Current projects:

Device for integral evaluation of the antioxidant activity of food products.

Contact person:

Tomashyevskyi Roman Serhiyovych Email: romiocat.khpi@gmail.com

Team composition:

• Barkhotkina T.M., M.D., Associate Professor
• Korol Ye.I., Ph.D., Associate Professor
• Makhonin N.V., Postgraduate
• Glukhienka T.A., Candidate

Description:

The group focuses on analyzing the interaction processes of ozone-oxygen mixtures with liquids, including human blood. Their work involves developing methods and equipment for preparing medical substances and performing ozone therapy procedures. Additionally, they research methods and apparatuses for analyzing the effects of ozone on the human body.

Current projects:

• Development of an ozone generator and improvement of its functional components
• Development of methods for assessing the state of cell membranes
• Development of methods and technical devices for accurate ozone dosing during intravenous infusion procedures with ozonated saline
• Development of methods and technical devices for extracorporeal ozonation and oxygenation of large blood volumes

Contact person:

Makhonin Mykola Vitaliyovych