As part of its educational and scientific-outreach activities, the Faculty of Medicine held a practical seminar on October 1, 2026, titled "STI Preven
Quotation gallery
I put the relation of a fine teacher to a student just below the relation of a mother to a son.
Faculty’s news
29 сентября — Всемирный день сердца! В честь этой даты медицинский факультет совместно с психологической службой университета организовал информацион
To foster social and educational engagement, promote medical science, and spark student interest in medical research and knowledge, the "Med-Quiz" bli
29 сентября 2026 года со студентами групп 2 мед 26-1 и 2 мед 26-2 проведён куратором Шилкиной Ольгой Ивановной экологический час на тему «Экология нач
28 сентября 2026 г. состоялся творческий вечер «Мир книг: читаем, обсуждаем, открываем» среди студентов специальности «Фармация». Творческий вечер пр
25 сентября 2026 года со студентами групп ОМ 26-2к, ОМ 26-3 медицинского факультета состоялся круглый стол на тему «Конституция — основа стабильности
16 сентября для студентов медицинского факультета в рамках эдвайзерского часа было проведено мероприятие на тему «Закон и порядок — основа безопасного
The Faculty of History, Economics, and Law hosted a scholarly roundtable titled "Northern Kazakhstan within the Steppe Communication Network of the
The Faculty of History, Economics, and Law hosted a scholarly roundtable titled "Northern Kazakhstan within the Steppe Communication Network of the Go
Проведён семинар по академической политике вуза с участием студентов групп Мед 3-26. В ходе мероприятия обучающиеся ознакомились с основными положения
Development of a wireless automated system for electrocardiological diagnostics
Budgetary program "Development of Science", subprogram "Grant financing of scientific research in 2018-2021." Science Committee MES RK


Project manager: Ivel V.P., doctor of technical sciences, professor.
Project executors: Gerasimova Yu.V., Ph.D., Avdeev V.N., Ph.D., Moldakhmetov S.S., Master of Technical Sciences, PhD candidate, Petrov P.A., Master of Engineering Sciences, PhD candidate
Terms of execution: 2018-2020
Amount of financing: 30,000,000 tenge.
The purpose of the project: Development of a neural network system for the identification of electrocardiological signals (ECS) using wireless technologies and software and hardware parallel computing, capable of determining the physiological parameters of the body, providing information support for the doctor's diagnostic decisions and making preliminary automatic diagnostics of the state of the human cardiovascular system (CVS).
Expected results: The proposed concept for the construction of automated systems for medical cardiology, based on the neural network principle of parallel information processing and wireless transmission of ECG data, will make it possible to create systems for predicting the development of pathological deviations in the patient's CVS state and a system for express cardiology diagnostics of dangerous pathological abnormalities in the CVS, which will significantly reduce time and economic costs for ECG examination, including Holter monitoring.
Within three years of the Project implementation, it is planned to prepare on research topics: one monograph, three patents for an invention, two articles in a foreign journal indexed in the Scopus database (“ARPN Journal of Engineering and Applied Sciences”, ISSN 1819-6608, Pakistan; “ International Journal of Electronics and Telecommunications ", ISSN 2300-1933, Poland), two articles in journals with a non-zero impact factor (" Computer Engineering & Information Technology ", ISSN 2324-9307, USA, impact factor 0.61;" Journal of Electrical Engineering and Electronic Technology ", ISSN 2325-9833, USA, impact factor 0.33).
Introduce wireless automated cardiac complexes into the practice of the regional cardio center.
It is also planned to obtain a license to use the developed cardiac complex in medical institutions of the Republic of Kazakhstan.
All cardio centers of the Republic of Kazakhstan can become the target consumers of the developed automated cardiac complexes.
The developed principles of identification of a 12-dimensional ECG signal can be used for further development of the general theory of identification of multidimensional nonlinear low-frequency signals.
Description of the project: The rapid development of computer technology and the emergence of new diagnostic technologies require the search for new approaches to the processing and interpretation of the ever-growing volume of biomedical data. In this regard, the need to develop an effective system for automated analysis of electrocardiological information, carrying the maximum amount of useful data about the state of the body, using modern high-performance methods of digital signal processing, focused on solving poorly formalized problems, is substantiated. To achieve this goal, it is proposed to use the optimization and adaptation apparatus, the theory of systems identification, the theory of neural network systems, the technology of parallel computing, the theory of wireless communication and computer modeling.
Project objectives: