The program "Biomedical Systems and Technologies" is aimed at learning how to use and apply the principles of design and development of biomedical systems, the basics of processing and analyzing different medical data.
The program "Biomedical Systems and Technologies" offers you interesting lectures, practical classes and laboratory experiments that will allow you to acquire and improve your understanding of biomedical mechanisms. You will learn how to use and apply the principles of design and development of biomedical systems, the basics of processing and analyzing different medical data.
Place of study: ETU "LETI", Department of Biotechnical Systems
Duration: 2 weeks
1st intake: 20 January – 02 February, 2020
Summer School: 01 July – 14 July, 2019
Outcome: ETU "LETI" certificate, 4 ECTS
Requirements: first-year undergraduate knowledge on Biomedical Engineering or similar programs
- A good option for those who want to upgrade professional knowledge through foreign experience;
- The students get 2 weeks of various practice, all the learning materials, and access to Unversity’s special labs;
- Experienced teachers, who have taught BME on international levels for years.
Module 1 - Computer Analysis of Biomedical Signals
The main goal of this course is acquiring initial expertise in the modern methods of the computer-based biomedical signals processing and analysis with the use of program package MATLAB.
Module 2 - Arduino and MatLab interaction in Digital Healthcare system development
Students obtain basic knowledge in the field of registration of biomedical signals used to assess the current state of human health in telemedicine monitoring systems, such as electrocardiogram, pulse wave, blood pressure, respiration rate, and others. Through practical exercises, students will learn a basic set of sensors for registering biomedical signals, as well as the current trends and approaches to the instrumental support of remote monitoring systems. During laboratory work, students will gain the skills needed to register biomedical signals and process them using the modern Biopac Student Lab system.
Module 3 - Simulation in Biomedical Engineering
This course is dedicated to modeling in biomedical engineering and aims to widen the knowledge and experience in applying mathematical apparatuses for different applications in medical and technical sciences. The learning material covers a broad range of data-driven and theoretical models, including models based on differential equations, finite-state machines, Markov chains, queueing systems, Petri nets and time series, among others. The course is supplemented with laboratory works dedicated to aspects of data-driven modeling in MATLAB, Simulink and R.
Module 4 - Motion capture for gait analysis, rehabilitation and sports
This course is an introductory course in movement and gait analysis. It will help students to learn modern technologies for movement analysis using: optical motion capture systems, Inertial Measurement Units (IMUs), EMG systems, force platforms, plantar pressure measurement and others. The main aim of this course is to introduce students to the techniques and methods of gait analysis and give them knowledge and tools to solve biomechanical problems, robotics, to improve rehabilitation techniques, research and treatments programs for people with different disabilities of the musculoskeletal system.
Module 5 - Medical statics and predictive modelling using IBM software
This course introduces the fundamentals of information systems used for managerial and clinical support in healthcare; the further exploration of medical databases, and manipulation for supporting decisions including evidence-based practice. Students will learn how to use medical databases, store and use statistical tools such as IBM SPSS statistics and IMB SPSS Modeler for evidence-based clinical research.
Master’s degree program "Systems and Technologies in Digital Healthcare"
|There is a possibility to obtain the Master’s degree by applying for the full-time program Systems and Technologies in Digital Healthcare|
Students gain knowledge of bioengineering systems development in Digital Healthcare. Students develop practical work skills with modern technologies and systems for disabled patient examination, and the ability of carrying out scientific research during the development of new systems for remote health monitoring.
The educational program provides training for specialists in biomedical engineering to use modern information, telecommunication and computer technologies, and telemedicine for remote monitoring and health assistance of outpatients with chronic diseases. Using the aforementioned technologies, specialists will be able to reveal the exacerbation of chronic diseases in real time and to monitor the health of patients during treatment. The formation of professional skills and competencies required for professional activities in the field of digital medicine will be carried out by developing and incorporating new disciplines into the program. These disciplines are aimed at automating the design of remote monitoring systems using artificial intelligence for processing and analysis of biomedical signals, information, and medical assistance of patients during monitoring.
About the Department
The department of Bioengineering Systems was established in 1962 and it was the 1st department in the country that started training of certified specialists in the field of biomedical engineering. The Department was established to train specialists of a wide medical and technical profile, capable of developing, producing and maintaining modern medical devices and systems, including medical and telemedical information systems.
Yulia O. Bobrova
Assistant professor at the Department of Bioengineering Systems
Zafar M. Yuldashev
Doctor of Sciences, Head of the Department of Bioengineering Systems
Alexander N. Kalinichenko
Doctor of Sciences, professor at the Department of Bioengineering Systems
International Students Office
|Mon.-Fri.: 10:00-17:00 (admission 10:00-16:30)|
|197376, Russian Federation, St. Petersburg, Professora Popova str., 5, building 3, 2nd floor (room 3243)|
|+7 (812) 234-35-53|