ECTS - Technology-Based Approaches in Rehabilitation

Technology-Based Approaches in Rehabilitation (REH526) Course Detail

Course Name Course Code Season Lecture Hours Application Hours Lab Hours Credit ECTS
Technology-Based Approaches in Rehabilitation REH526 Area Elective 3 0 0 3 5
Pre-requisite Course(s)
N/A
Course Language Turkish
Course Type Elective Courses
Course Level ects.course_level_Sağlık_Bilimleri_Yüksek_Lisans
Mode of Delivery Face To Face
Learning and Teaching Strategies Lecture, Discussion, Question and Answer, Problem Solving, Brain Storming.
Course Coordinator
Course Lecturer(s)
  • Asst. Prof. Dr. Süleyman Korkusuz
Course Assistants
Course Objectives The aim is to evaluate the theoretical basis, clinical effectiveness, and application areas of current technology-based approaches used in rehabilitation from an evidence-based perspective; and to equip participants with the ability to integrate technology-assisted rehabilitation practices into clinical decision-making processes.
Course Learning Outcomes The students who succeeded in this course;
  • It critically evaluates the theoretical foundations and clinical applications of technology-based approaches used in rehabilitation.
  • It analyzes the effectiveness and limitations of technology-assisted rehabilitation practices in light of current scientific evidence.
  • It integrates technology-based applications into rehabilitation processes in accordance with patient characteristics and clinical needs.
  • It interprets current scientific literature on rehabilitation technologies and uses it in evidence-based clinical decision-making processes.
  • Evaluates and applies wearable technologies, telerehabilitation, and artificial intelligence-based systems in patient monitoring and clinical decision-making processes.
Course Content Technology-based products, robotic systems, motion supporting technologies, web-based applications and video-based games in physiotherapy and rehabilitation applications.

Weekly Subjects and Releated Preparation Studies

Week Subjects Preparation
1 Introduction, explanation of the course content, identification of course resources, and distribution of topics.
2 Introduction to rehabilitation technologies and theoretical foundations. Reinkensmeyer DJ, Dietz V, editors. Neurorehabilitation Technology. 2nd ed. Springer; 2016. Chapter 1.
3 Evidence-based practice and clinical decision-making in technology-based rehabilitation. Reinkensmeyer DJ, Dietz V, editors. Neurorehabilitation Technology. 2nd ed. Springer; 2016.
4 Technology-supported assessment systems and digital outcome measures. Reinkensmeyer DJ, Dietz V, editors. Neurorehabilitation Technology. 2nd ed. Springer; Assessment Technologies divisions.
5 Theoretical foundations of robotic rehabilitation and its relationship to neuroplasticity. Reinkensmeyer DJ, Dietz V, editors. Neurorehabilitation Technology. 2nd ed. Springer; Relevant chapters on Robotic Rehabilitation.
6 A critical evaluation of robotic rehabilitation applications for the upper extremity. Reinkensmeyer DJ, Dietz V, editors. Neurorehabilitation Technology. 2nd ed. Cham: Springer; 2016. Section III: Arm Rehabilitation Technologies.
7 A critical evaluation of lower extremity robotic rehabilitation applications. Reinkensmeyer DJ, Dietz V, editors. Neurorehabilitation Technology. 2nd ed. Cham: Springer; 2016. Section IV: Gait Rehabilitation Technologies.
8 The role of virtual reality applications in rehabilitation. Weiss PL, Keshner EA, Levin MF, editors. Virtual Reality for Physical and Motor Rehabilitation. New York: Springer; 2014. Chapter 1: Introduction to Virtual Reality in Rehabilitation.
9 Clinical use of augmented reality applications. Giggins OM, Persson UM, Caulfield B. Biofeedback in rehabilitation. Journal of NeuroEngineering and Rehabilitation. 2013;10:60
10 Wearable technologies and digital biomarkers. Patel S, Park H, Bonato P, Chan L, Rodgers M. A review of wearable sensors and systems with application in rehabilitation. Journal of NeuroEngineering and Rehabilitation. 2012;9:21.
11 Telerehabilitation applications and remote patient management. Brennan DM, Tindall L, Theodoros D, Brown J, Campbell M, Christiana D, et al. Telerehabilitation: enabling the remote delivery of healthcare, rehabilitation, and self-management. Studies in Health Technology and Informatics. 2010;145:231–248.
12 Applications of artificial intelligence and machine learning in rehabilitation. Pons JL. Wearable Robots: Biomechatronic Exoskeletons. Hoboken: Wiley; 2008. Relevant chapters on wearable robotic systems and rehabilitation applications.
13 Patient selection and clinical decision-making processes in rehabilitation technologies. O'Sullivan SB, Schmitz TJ, Fulk GD. O'Sullivan & Schmitz's Physical Rehabilitation. 8th ed. Philadelphia: F.A. Davis Company; 2024. Chapter 1: Clinical Decision Making in Rehabilitation.
14 Case analysis and clinical decision-making in technology-assisted rehabilitation practices. O'Sullivan SB, Schmitz TJ, Fulk GD. O'Sullivan & Schmitz's Physical Rehabilitation. 8th ed. Philadelphia: F.A. Davis Company; 2024. Chapter 1: Clinical Decision Making in Rehabilitation.
15 Current developments in rehabilitation technologies, literature review, and seminar presentations. Current SCI/SCI-E indexed articles on neurological rehabilitation.
16 Final Exam

Sources

Course Book 1. Reinkensmeyer DJ, Dietz V, editors. Neurorehabilitation Technology. 2nd ed. Cham: Springer; 2016.
2. Weiss PL, Keshner EA, Levin MF, editors. Virtual Reality for Physical and Motor Rehabilitation. New York: Springer; 2014.
3. O'Sullivan SB, Schmitz TJ, Fulk GD. O'Sullivan & Schmitz's Physical Rehabilitation. 8th ed. Philadelphia, PA: F.A. Davis Company; 2024.
4. Pons JL. Wearable Robots: Biomechatronic Exoskeletons. Hoboken, NJ: John Wiley & Sons; 2008.
Other Sources 5. Giggins OM, Persson UM, Caulfield B. Biofeedback in rehabilitation. Journal of NeuroEngineering and Rehabilitation. 2013;10:60.
6. Patel S, Park H, Bonato P, Chan L, Rodgers M. A review of wearable sensors and systems with application in rehabilitation. Journal of NeuroEngineering and Rehabilitation. 2012;9:21.
7. Brennan DM, Tindall L, Theodoros D, Brown J, Campbell M, Christiana D, et al. Telerehabilitation: enabling the remote delivery of healthcare, rehabilitation, and self-management. Studies in Health Technology and Informatics. 2010;145:231–248.
8. Akademik veritabanları ve elektronik kütüphaneler: PubMed, MEDLINE, Scopus, Web of Science ve Google Scholar

Evaluation System

Requirements Number Percentage of Grade
Attendance/Participation - -
Laboratory - -
Application - -
Field Work - -
Special Course Internship - -
Quizzes/Studio Critics - -
Homework Assignments 2 50
Presentation - -
Project - -
Report - -
Seminar - -
Midterms Exams/Midterms Jury - -
Final Exam/Final Jury 1 50
Toplam 3 100
Percentage of Semester Work 50
Percentage of Final Work 50
Total 100

Course Category

Core Courses X
Major Area Courses
Supportive Courses
Media and Managment Skills Courses
Transferable Skill Courses

The Relation Between Course Learning Competencies and Program Qualifications

# Program Qualifications / Competencies Level of Contribution
1 2 3 4 5
1 Utilizes knowledge from the literature in the field of physiotherapy and rehabilitation systematically, assessing, evaluating, describing, analyzing, and planning for professional and academic work with essential concepts and principles. X
2 Plans and implements academic studies using evidence-based literature in physiotherapy and rehabilitation. X
3 Collects data according to ethical principles, selects suitable statistical methods, analyzes results, critiques them by comparing with literature, and presents or publishes at national/international scientific meetings.
4 Takes responsibility individually within multidisciplinary or interdisciplinary teams for problem-solving in academic and scientific work and collaborates effectively using communication skills. X
5 Identifies learning needs and goals, adopts lifelong learning for personal growth, uses a foreign language and information-communication technology, follows developments in the field, and organizes and supports quality improvement programs. X
6 Understands the duties, rights, and responsibilities related to scientific work in physiotherapy, adheres to academic ethics and standards, and maintains professional conduct internationally.
7 Applies evidence-based preventive and rehabilitative approaches aligned with changing and growing community needs in physiotherapy and rehabilitation to contribute to health policy development and raise public awareness. X

ECTS/Workload Table

Activities Number Duration (Hours) Total Workload
Course Hours (Including Exam Week: 16 x Total Hours) 16 3 48
Laboratory
Application
Special Course Internship
Field Work
Study Hours Out of Class 16 2 32
Presentation/Seminar Prepration
Project
Report
Homework Assignments 2 10 20
Quizzes/Studio Critics
Prepration of Midterm Exams/Midterm Jury
Prepration of Final Exams/Final Jury 1 25 25
Total Workload 125