Contemporary Biomedical Softwares

In this course, student acquires knowledge about contemporary software solutions that are used for the implementation of modern information systems and medical devices, as well as the fundamental principles of telemedicine as a method of remote diagnostics. Through practical examples student is introduced to data interchange standards, as well as techniques of medical image processing and medical image analysis. Cooperation with experts from the fields of medicine and information technology.

By attending this course student acquires theoretical knowledge related to information systems in medicine, he is trained to analyze information system organization in health care facilities, and also acquires knowledge of software solutions that are used in the application of medical systems and telemedicine.

Aspects of health informatics. Biomedical data. Electronic health record systems. Radiology Information Systems. Аrhitecture оf existing medical software, advantages and disadvantages, possible changes and enhancements. Standards in health informatics. Specificity of software design for medical devices. Engineering specific requirements when developing medical software and medical information systems. Digital image processing for medical applications. Methods of improving digital image quality, image segmentation, 3D visualization of medical images.

Examples of information systems in medicine and current software applications used in medical systems. Software for medical image manipulation implemented in medical devices. Development of standalone programs using MATLAB: improving image quality, image segmentation, medical image visualization. Examples of graphical interfaces. Designing graphical user interface in MATLAB.

Еnrolled in PhD studies.

Written course material (handouts).

Total assigned hours: 65

New material: 40
Elaboration and examples (recapitulation): 10

Auditory exercises: 0
Laboratory exercises: 0
Calculation tasks: 0
Seminar paper: 0
Project: 0
Consultations: 0
Discussion/workshop: 0
Research study work: 0

Review and grading of calculation tasks: 0
Review and grading of lab reports: 0
Review and grading of seminar papers: 0
Review and grading of the project: 10
Test: 0
Test: 0
Final exam: 5

Activity during lectures: 10
Test/test: 0
Laboratory practice: 0
Calculation tasks: 0
Seminar paper: 0
Project: 60
Final exam: 30
Requirement for taking the exam (required number of points): 40

J. Bronzino, D. Peterson, The Biomedical Engineering Handbook, 4th ed, CRC Press, 2015; C. Solomon, T. Breckon, Fundamentals of Digital Image Processing a Practical Approach with Examples in Matlab, Wiley-Blackwell, 2010; B. Dixon, Health Information Exchange, 2nd ed., Elsevier, 2022