Type of studies | Title |
---|---|
Undergraduate Academic Studies | Biomedical Engineering (Year: 4, Semester: Winter) |
Category | Professional-applicative |
Scientific or art field |
|
ECTS | 5 |
The course teaches the students the basic elements of a system for automatic identification and designing bioengineering systems in which automatic identification will be used for further process improvement.
Outcomes of the subject are mastering the techniques and the choice of appropriate systems and / or devices that can be applied in different bioengineering systems. Special emphasis is on the application of various technologies for automatic identification in a single system.
Introduction to automatic identification systems. Technology for automatic identification of objects. Labeling and object recognition. Principles and types of barcode technology. Ways to use barcode technology. Principles of RFID technology. Methods of application of RFID technology. Principles of OCR technology. Biometric methods. Control of the data collected. Process management based on data collected from the process. Case studies of the application of automatic identification when: determining the correct dose of anesthesia during operations, blood bank, to prevent the misuse of drugs, locating patients and staff in real time, in medical operations and other.
Teaching is conducted through lectures and exercises. During the exercises the student is required to do practice-oriented tasks. Testing knowledge is carried out through the theoretical part of the exam, while before that has to do all the exercises provided. The final exam is in the form of a test and refers to the theoretical issues.
Authors | Title | Year | Publisher | Language |
---|---|---|---|---|
2017 | English | |||
2009 | English | |||
2010 | English |
Course activity | Pre-examination | Obligations | Number of points |
---|---|---|---|
Project | Yes | Yes | 50.00 |
Written part of the exam - tasks and theory | No | Yes | 50.00 |
Full Professor
Associate Professor
Associate Professor
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© 2024. Faculty of Technical Sciences.