Smart Technologies in Rehabilitation

Study Course Description

Course Description Statuss:Approved

Course Description Version:1.00

Study Course Accepted:21.03.2023 09:15:52

Study Course Information
Course Code:		REK_251		LQF level:		Level 7
Credit Points:		2.00		ECTS:		3.00
Branch of Science:		Clinical Medicine; Sports Medicine and Rehabilitation		Target Audience:		Rehabilitation
Study Course Supervisor
Course Supervisor:		Guna Semjonova
Study Course Implementer
Structural Unit:		Department of Rehabilitation
The Head of Structural Unit:
Contacts:		Riga, 26a Anninmuizas boulevard, rkrsu[pnkts]lv, +371 20271291
Study Course Planning
Full-Time - Semester No.1
Lectures (count)		4	Lecture Length (academic hours)		2	Total Contact Hours of Lectures		8
Classes (count)		8	Class Length (academic hours)		2	Total Contact Hours of Classes		16
Total Contact Hours								24
Study course description
Preliminary Knowledge:
Basics of rehabilitation. International Classification of Functioning, Disability and Health. Experience in clinical work with patients.
Objective:
Promote knowledge of smart technologies in rehabilitation.
Topic Layout (Full-Time)
No.	Topic			Type of Implementation		Number	Venue
1	Introduction to Smart Technologies. Technology and "smart" technology. The life cycle of smart technologies. Robot technologies. Application of smart technologies in rehabilitation context.			Lectures		1.00	auditorium
2	Sensors and their classification by application. Input/output devices. "Gold standard" v.s. sensor systems: advantages and disadvantages. Smartphones. Mobile applications and their classification by application, evaluation. Mobile Application Rating Scale (MARS).			Lectures		1.00	auditorium
				Classes		1.00	auditorium
3	Smart technologies for telerehabilitation and telerehabilitation			Classes		1.00	auditorium
4	Virtual reality (non-immersive, semi-immersive, and fully-immersive simulations). Virtual reality in different rehabilitation contexts: neurology, pediatrics, orthopedics. Introduction to artificial intelligence. Introduction to healthcare data structures.			Lectures		1.00	auditorium
				Classes		1.00	auditorium
5	Ethical and legal aspects of smart technologies in healthcare/rehabilitation.			Lectures		1.00	auditorium
6	User experience (UX), user path and its role in the choice and use of smart technology.			Classes		1.00	auditorium
7	Introduction Software and hardware. Introduction to programming. Block-based high-level visual programming language: Scratch.			Classes		1.00	auditorium
8	Smart technology in a rehabilitation context (Part I). Define the strengths and weaknesses of the selected technologies and their applications.			Classes		1.00	auditorium
9	Smart technology in a rehabilitation context (Part II). Demonstration of the principles of smart technology, its practical application.			Classes		2.00	auditorium
Assessment
Unaided Work:
Literature study; active participation in workshops and seminars; individual and small-group learning tasks. 48 Independent work in PDV, including lectures and additional theoretical material. Preparation and presentation/demonstration of a final thesis.
Assessment Criteria:
Cumulative assessment at the end of the course consists of: attendance of lectures, seminars (50%) + Passing tests (n=6) (20%) + Development of a mini-project at the end of the course. Presentation of the final work "Digital technology in a specific field of rehabilitation" (30%).
Final Examination (Full-Time):		Test
Final Examination (Part-Time):
Learning Outcomes
Knowledge:		As a result of successfully completing the course, students will be able to describe smart technologies in rehabilitation. Students will be able to describe and apply available smart technologies in clinical practice. They are able to understand digital healthcare systems, digital data security, and ethical issues related to the application of innovation in healthcare. Be familiar with the terms associated with smart technologies and the principles of technology development, implementation, and application, as well as the processes of the patient (user) and technology interaction. Understand the legal and ethical aspects of medical smart technologies.
Skills:		Able to create/program content using a high-level block-based visual programming language in a Scratch environment that fosters an understanding of the basic principles of intelligent technology software. Be able to use smart technologies such as a smartphone, and computers as a tool not only for communication but also for diagnosis and measurement in clinical practice. Be able to evaluate mobile apps and smart sensors against evidence-based clinical practice standards.
Competencies:		Able to analyze and assess the need for the use of smart technologies according to their professional competence, and able to collaborate with colleagues in a multi-professional team, able to discuss and agree on solutions for the use of smart technologies to achieve rehabilitation goals.
Bibliography
No.	Reference
Required Reading
1	Stein, Joel. (Published January 1, 2020). Essentials of Physical Medicine and Rehabilitation (Ch.: Technologies and Devices)
2	Uy, Jeric; Lefmann, Sophie; King, Laurie A.; et.al. (Published December 31, 2019. 2020). Umphred's Neurological Rehabilitation (Ch.: General screening considerations Integrating technology in neurological rehabilitation › Robotic system mechanisms for operation)
3	Postolache, G., Carvalho, H., Catarino, A., & Postolache, O. A. (2017). Smart clothes for rehabilitation context: Technical and technological issues. In Sensors for Everyday Life (pp. 185-219). Springer, Cham.
4	Duarte, J. P., Fernandes, R. J., Silva, G., Sousa, F., et.al. (2022, August). Lower Limbs Wearable Sports Garments for Muscle Recovery: An Umbrella Review. In Healthcare (Vol. 10, No. 8, p. 1552).
5	Alexander, M. (Ed.). (2021). Telerehabilitation, E-Book: Principles and Practice. Elsevier Health Sciences