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Faculty of Health Sciences
Physiotherapy and Rehabilitation
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Sensor Assisted Rehabilitation

Course CodeSemester Course Name LE/RC/LA Course Type Language of Instruction ECTS
FTR6014 Sensor Assisted Rehabilitation 2/0/0 DE Turkish 2
Course Goals
1. Having general knowledge about the place, prospect and future uses of digital sensors in clinical evaluation and treatment methods.

2. Having general knowledge about current models of sensors in current conditions.

3. Having general knowledge about the use of sensors in rehabilitation applications.

4. Having general knowledge about the sensors, their purposes and advantages in clinical and field conditions.

5. To gain vision for today and tomorrow of wearable sensors and remote monitoring systems.
Prerequisite(s) None
Corequisite(s) None
Special Requisite(s) None
Instructor(s) Professor Nazif Ekin Akalan
Course Assistant(s)
Schedule This course has not been opened in 2018-2019 fall semester.
Office Hour(s) Şirinevler Campus C Blok
Teaching Methods and Techniques  Verbal presentation, demonstration, video demonstration, case examples, project assignments.
Principle Sources   1. Mendez-Zorrilla, A. (2014). Gait analysis methods: An overview of wearable and non-wearable systems, highlighting clinical applications. Sensors, 14(2), 3362-3394.

 2. Patel, S., Park, H., Bonato, P., Chan, L., & Rodgers, M. (2012). A review of wearable sensors and systems with application in rehabilitation. Journal of neuroengineering and rehabilitation9(1), 21.

3. Yalçın S,  Berker N Y, Yavuzer G, Gök H. Yürüme Analizi. İstanbul, Avrupa tıp kitapçılık; 2001

4. Kirtley C. Clinical Gait Analysis: Theory And Practice. New York, Elsevier Health Sciences; 2006. pp. 15-37.



5. Özaras N, Yalçın S. Normal Yürüme ve Yürüme Analizi. Turk J Phys Med Rehab 2002; 48(3): 4-4.

6.  Perry J. Brunfield JM. Gait Analysis Normal and Pathological Function. 2nd ed. Thorofare, US: Slack Incorporated. 2010.

Other Sources
Course Schedules
Week Contents Learning Methods
1. Week Sensor technology Verbal presentation, demonstration, video demonstration, Case examples, project assignments.
2. Week Sensors which are used for health purposes Verbal presentation, demonstration, video demonstration, Case examples, project assignments.
3. Week Sensor assisted motion analysis Verbal presentation, demonstration, video demonstration, Case examples, project assignments.
4. Week Sensor-assisted motion tracking systems and remote patient tracking. Verbal presentation, demonstration, video demonstration, Case examples, project assignments.
5. Week Sensor-assisted rehabilitation Verbal presentation, demonstration, video demonstration, Case examples, project assignments.
6. Week Sensor-assisted rehabilitation Verbal presentation, demonstration, video demonstration, Case examples, project assignments.
7. Week Midterm Midterm
8. Week Case examples: sensor assisted rehabilitation planning. Verbal presentation, demonstration, video demonstration, Case examples, project assignments.
9. Week Case examples: sensor assisted rehabilitation planning. Verbal presentation, demonstration, video demonstration, Case examples, project assignments.
10. Week Case examples: sensor assisted rehabilitation planning. Verbal presentation, demonstration, video demonstration, Case examples, project assignments.
11. Week Project works, homework presentations Verbal presentation, demonstration, video demonstration, Case examples, project assignments.
12. Week Project works, homework presentations Verbal presentation, demonstration, video demonstration, Case examples, project assignments.
13. Week Project works, homework presentations Verbal presentation, demonstration, video demonstration, Case examples, project assignments.
14. Week Future of sensors in healthcare. General evaluation of the subjects during the semester. Verbal presentation, demonstration, video demonstration, Case examples, project assignments.
15. Week Final
16. Week Final
17. Week
Assessments
Evaluation tools Quantity Weight(%)


Program Outcomes
PO-11. Analyze the interactions of structures (cells, tissues, organs), organs, segments, construction body at the micro and macro level.
PO-22. Can measure and evaluate the human body on the basis of physical structure.
PO-33. Can determine the conditions that cause functional impairment, the extent of functional impairment and the effects of people on their lives.
PO-44. Takes an active role in consultation, patient follow-up and treatment processes in growth and developmental disorders.
PO-55. Takes an active role in consultation, patient follow-up and treatment of chronic progressive diseases (cancer, muscular diseases, nervous system diseases, metabolic diseases), reducing the effects of the disease (pain, functional impairment).
PO-66. Takes an active role in determining, predicting, preventing, following and treating the problems that come from the old age.
PO-77. Has an active role in hospitals, private clinics, health centers, rehabilitation centers, disabled and elderly care diseases and follow-up processes.
PO-88. Can act as an active role or autonomous to identify, prevent and monitor health-related risk factors.
PO-99. Improvement of disease areas and functional areas, improvement and improvement processes.
PO-1010. To make it possible to evaluate, develop and improve public health.
PO-1111. They can take an active role in project development and the related centers for the treatment of persons with disabilities, rehabilitation center, professional rehabilitation center establishment.
Learning Outcomes
LO-1Learns the use of digital sensors in healthcare.
LO-2Learn wearable sensors for measurement and evaluation purposes.
LO-3Students learn general information about their wearable sensors and methods of treatment applications.
LO-4They will have general knowledge about digital sensors and patient monitoring systems.
LO-5They will develop new ideas and projects related to the use of digital sensors in the health field.
Course Assessment Matrix:
Program Outcomes - Learning Outcomes Matrix
 PO 1PO 2PO 3PO 4PO 5PO 6PO 7PO 8PO 9PO 10PO 11
LO 1
LO 2
LO 3
LO 4
LO 5