Electronics and Medical Informatics

Dragos Țarălungă

Coordinator

Catalogue of disciplines

Overview

The Master's degree programme, Medical Electronics and Informatics, is designed for a 2-year (4 semesters) duration during which students will become familiar with new concepts and technologies and their use in medical applications and prepare for scientific research at the interface between engineering and medical sciences.

Medical Electronics and Informatics is an application-oriented master's degree, encouraging students through semester projects to apply their knowledge and prepare for the job market.

Students will also have the opportunity to get in touch with representatives of prestigious biomedical engineering companies through lectures and webinars.

By organising meetings with representatives of startups, students will learn how an innovation process is carried out, from identifying a need to monetising the solution implemented to solve it and bringing a medical device to market.

Who is it for?

The EIM Masters programme is aimed at all graduates of faculties of electronics and telecommunications, medical engineering, automation and computers, electrical engineering but also at those interested in developing skills in research and development, design, organisation, consultancy services, maintenance in health services.

Objectives of the Master's programme

The main objective of the interdisciplinary Master's programme, Medical Electronics and Informatics, is to apply the principles, new software and hardware technologies and the results of research and development activities in the field of engineering to the medical field.

Specific objectives:

  • preparing students for the development of technical software and hardware solutions in the medical field.
  • attracting companies from the biomedical engineering industry (companies developing medical equipment, software tools with applications in the medical field), regulatory and standardisation bodies to train students.

Specialist skills offered to graduates

  • Operating with the fundamentals of applied, engineering and medical sciences, general and specialized, to solve technical problems specific to the field of Electronics and Medical Informatics;
  • Design, implementation and management of small and large radio networks, in order to ensure safe access and guaranteed performance;
  • Hardware and software design of technical equipment used in medicine for diagnosis, therapy, rehabilitation and intelligent prosthetics. Development and use of information representation means and technical documents specific to the field of Medical Electronics and Informatics;
  • Design, implementation, monitoring, use and maintenance of devices, apparatus, equipment and technical systems used in medicine, as well as technical space (material, logistical, IT) specific to the field of medical electronics and informatics;
  • Coordination and implementation of research and execution projects for medical technologies and equipment;
  • Use of IT products dedicated to medical applications: management of large volumes of data, advanced analysis and processing of biosignals and medical images, development of mobile applications for medical systems/equipment, management of digitally stored medical data;
  • Ability to function as the leader of a team that may be made up of people with different specialisations and skill levels (e.g. a team made up of doctors and engineers)
  • Ability to communicate and collaborate with specialists in fields other than electronics in order to ensure an interface between the technical problems they encounter and the solutions to those problems;
  • Ability to identify needs and problems and develop technical solutions by applying domain-specific methods and tools.

Examples of research directions addressed

  • Biomedical signal and image processing for automated diagnosis
  • Intelligent systems for monitoring medical parameters (e.g. mHealth systems)
  • Mobile apps in healthcare
  • Brain-computer interfaces for therapy and rehabilitation
  • Applications of Artificial Intelligence in Healthcare
  • Medical data management systems.
  • Medical sensor networks

courses

Semester 1

Semester II

E-Health

Course holder: Ș.l. dr. eng. Elena OVREIUTaboratory holder: Ș.l. dr. eng. Elena OVREIU The course will...

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Semester III

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