Systems and Technologies in Digital Healthcare (in the field of Biomedical Engineering)
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.
| Every year we examine and update our programs. Meet the improved version of the program "Bioengineering Systems and Technologies for Prosthetics and Rehabilitation" now called "Systems and Technologies in Digital Healthcare (in the field of Biomedical Engineering)"! The program code remains the same (12.04.04), students enrolled in "Bioengineering Systems and Technologies for Prosthetics and Rehabilitation" are admitted to study under improved program "Systems and Technologies in Digital Healthcare (in the field of Biomedical Engineering)". |
| Language of instructions: | English |
|---|---|
| Degree acquired: | Master's |
| Program code: | 12.04.04 |
| Faculty | Faculty of Information Measurement and Biotechnical Systems |
| Number of students: | 10-15 |
| Program: | 120 ECTS credits, full-time Master’s Degree (2 years) |
| Eligibility: | Candidates must hold a Bachelor's Degree in an engineering-related field |
| Academic year includes: | 2 semesters beginning on 1st September and 10st February |
| Holidays: | Winter holidays - 2 weeks (January); Summer holidays - 2 months (July, August) |
| Application deadline: | May |
| Master’s Thesis defense: | June |
Program presentation
About the program
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.
International Academic Mobility
.png)
Main disciplines
The educational process covers the following special subjects:
Special subjects
- Methods of Computer Processing and Analysis of Medical and Biological Data (4 ECTS)
- Telemedicine Systems and Technologies (4 ECTS)
- Monitoring Systems in Digital Healthcare (5 ECTS)
- Automated Analysis of Images (4 ECTS)
- Simulation on Bioengineering Systems (3 ECTS)
- Motion Analysis Systems and Technologies (4 ECTS)
- Information Systems in Digital HealthCare (3 ECTS)
- Automation of Biomedical Research (4 ECTS)
- Bioengineering Systems and Technologies (4 ECTS)
- Maintenance and Repair of Modern Medical Equipment (3 ECTS)
- Advanced Methods and Tools for Biomedical Data Analysis (3 ECTS)
- Bases of Management and Marketing at Medical Industry Enterprises (3 ECTS)
- Modern Problems of Biomedical Engineering (3 ECTS)
General education disciplines
- Russian language (2 credits in each semester, 6 credits in total)
- Social communication in a professional environment (2 credits)
- Commercialization of research and development results (2 credits)
Education and research facilities
- Research and development of mHealth systems for early diagnosis and remote health state monitoring.
- Intelligent processing of data and signals (ECG, EEG, Respiratory waves), including methods of preprocessing, methods of pattern recognition, and inference methods. New algorithms and programs for intelligent diagnostic and monitoring medical equipment.
- Foot scanning analysis during static position and dynamic movement, computer postural assessment and analysis of the body in static position
- Clinical gait analysis of kinematic (angular movement of body segments and joints), kinetic (movement, powers and ground reaction forces) and muscle function (electromyography, muscle-tendon lengths, forces and their velocities) data and statistical interpretation of upper and lower body movements.
- Construction of biological objects, prosthesis, implants models with the health state research.
Master students carry out individual professionally-oriented work, scientific research and a thesis at leading medical centers in Saint Petersburg, such as:
Federal Almazov Medical Reseach Center (St. Petersburg)
Federal State Budgetary Scientific Institution "Institute of Experimental Medicine"( FSBSI "IEM")
Federal Scientific Center of Rehabilitation of the Disabled named after G.A. Albrecht» of the Ministry of Labour and Social Protection of the Russian Federation
Education and research processes are conducted on the basis of the modern electronic laboratory ProLab CDIO. The CDIO is an innovative educational framework for producing the next generation of engineers. The framework provides students with an education stressing engineering fundamental set in the context of Conceiving — Designing — Implementing — Operating (CDIO) real-world systems and products.
Additional educational opportunities
To support foreign students, the department organizes summer and winter educational schools. These schools aim to help our students with understanding "how" and "why" the Biomedical Engineering program works. Through lab experiments and detailed lessons, our students will acquire and/or upgrade their understanding of developing biomedical devices, and the application of basic scientific principles to adapt to the data from these devices.
Online courses
In 2018 a new English-language course “The Development of Mobile Health Monitoring Systems” was published on the online learning platform “Coursera”. The course was introduced by the Biotechnical Systems and Technologies Department and aims to provide students with the ability to apply knowledge from various fields of science including electronics, data science and mathematics when developing the hardware and software components of medical devices. Interested students can register at platform Coursera.
Professors
Zafar M. Yuldashev
Head of the Program
Doctor of Sciences, Head of the Department of Bioengineering Systems
Yulia O. Bobrova
Master Program coordinator
Assistant professor at the Department of Bioengineering Systems
Anna Yu. Glazova
Associate Professor at the Department of Bioengineering Systems, Candidate of Engineering Sciences
Alexander N. Kalinichenko
Doctor of Sciences, professor at the Department of Bioengineering Systems
Anatolii P. Nemirko
Doctor, professor of technical science
Evgenii A. Pustozerov
Associate Professor at the Department of Bioengineering Systems, Candidate of Engineering Sciences
Andrey Yu. Aksenov
PhD, Assistant professor at the Department of Bioengineering Systems
Anna Y. Villevalde
Associate Professor at the Department of Bioengineering Systems, Candidate of Engineering Sciences
Aleksey A. Anisimov
Associate Professor at the Department of Bioengineering Systems, Candidate of Engineering Sciences
Gleb A. Mashevsky
Associate Professor at the Department of Bioengineering Systems Candidate of Engineering Sciences
Yulia A. Zhivolupova
Assistant professor at the Department of Bioengineering Systems
Admission
 |
Daria Uverskaia International Student Recruitment & Support Manager master@etu.ru |
 |
Yulia O. Bobrova Bioengineering Systems and Technologies for Prosthetics and Rehabilitation (in the field of Biomedical Engineering) Program Coordinator Jobobrova@etu.ru |
Contact Information
| Mon.-Fri.: 10:00-17:00 (admission 10:00-16:30) | |
| 197376, Russian Federation, St. Petersburg, Professora Popova str., 5, building 3, 4th floor (room 3418) | |
| +7 (812) 234-35-53 | |
| 2343553@mail.ru | |
| International Students Office | |
| International student's group |
