19M031IKT - ICT in Telemedicine

Course specification
Course title		ICT in Telemedicine
Acronym		19M031IKT
Study programme		Electrical Engineering and Computing
Module		Applied Mathematics, Audio and Video Technologies, Biomedical and Environmental Engineering, Biomedical and Nuclear Engineering, Computer Engineering and Informatics, Electronics and Digital Systems, Energy Efficiency, Information and Communication Technologies, Microwave Engineering, Nanoelectronics and Photonics, Power Systems - Networks and Systems, Power Systems - Renewable Energy Sources, Power Systems - Substations and Power Equipment, Signals and Systems, Software Engineering
Type of study		master academic studies
Lecturer (for classes)		professor PhD Ana Gavrovska
Lecturer/Associate (for practice)		professor PhD Ana Gavrovska
Lecturer/Associate (for OTC)		professor PhD Ana Gavrovska
ESPB		6.0	Status	elective
Condition		None
The goal		Introducing students to basic principles of telemedicine and the application of information and communication technologies for medical purposes: the collecting of medical data about the patient and sending it to another location for examination, consultation, and establishment of diagnosis.
The outcome		Qualifying students to recognize and to process the basic signals in telemedicine. Developing main telemedicine services.
Contents
Contents of lectures		Basic principles of telemedicine. Acquisition and processing of different types of vital and other medical signals. ICT in medicine and health. Connecting various devices in and to the system. PACS (Picture Archiving and Communication System), HL7, and DICOM. AI in telemedicine. Telemedicine services. Economic, legal, and ethical aspects of telemedicine.
Contents of exercises		Auditory and computer exercises that follow the lectures and demonstration exercises. Using various platforms, libraries and modules for the acquisition and processing of telemedicine signals (Arduino, Raspberry Pi, ...).
Literature
B. Fong, A. C. M. Fong, and C. Kwong Li, Telemedicine technologies: information technologies in medicine and digital health. John Wiley & Sons, second edition, 2020. S. N. Kumar, S. Zafar, E. Babulak, M.A. Alam, and F. Siddiqui, Artificial Intelligence in Telemedicine: Processing of Biosignals and Medical Images. CRC Press, 2023. H. Eren, J. G. Webster, The e-Medicine, e-Health, m-Health, Telemedicine, and Telehealth Handbook, CRC Press, Vol-1 and Vol-2, Boca Raton, London, New York, 2016. R. Pandey, A. Gupta, and A. Pandey, The internet of medical things (IoMT) and telemedicine frameworks and applications, IGI Global, 2022. M. M. Cruz-Cunha, A. J. Tavares, R. Simoes, Handbook of Research on Developments in E-Health and Telemedicine: Technological and Social Perspectives, Medical Information Science Reference, 2010.
Number of hours per week during the semester/trimester/year
Lectures	Exercises	OTC	Study and Research	Other classes
3	1	1
Methods of teaching		Lectures, auditory and computer exercises.
Knowledge score (maximum points 100)
Pre obligations		Points	Final exam	Points
Activites during lectures		0	Test paper	40
Practical lessons		30	Oral examination	0
Projects		0
Colloquia		0
Seminars		30