Assistive Technologies and Sensor Systems

Garant předmětu:

Patrik Kutílek

Lecturer:

Patrik Kutílek

Tutor:

Jaromír Doležal

Supervisor:

Department of Natural Sciences

Synopsis:

The course offers information about the possibilities of using modern ICT technologies in the field of creating assistive devices and monitoring systems for people with specific needs. Attention is paid to the technical aspects of the design of such devices as well as the prospects for further development using the results of modern disciplines (e.g. robotics, artificial intelligence) and taking into account the medical issues of the most common types of disabilities or disorders.

Requirements:

Form of verification of study results: oral examination.

As a standard, the course is taught in contact form and the course has lectures and exercises. In case the number of students is less than 5, the teaching can take place in the form of guided self-study with regular consultations. In this case, in addition to the examination, the student is required to produce a written study on the assigned topic.

For combined study:

Teaching takes the form of guided self-study with regular consultations. In addition to the examination, the student is required to prepare a written study on a given topic.

Syllabus of lectures:

. Possibilities of using information and communication technologies for health and social care. Overview of current solutions in the field of assistive technologies, compensatory aids and telemedicine.

2. Information resources that offer an overview of existing aids for compensating different impairments. Basic technical building blocks used in current assistive technologies.

3. Sensory impairments and their compensation

4. The issue of cognitive impairments and the possibilities of technical support for their compensation.

5. Aids in diagnosis and rehabilitation of the musculoskeletal system. MoCap systems.

6. Motor disabilities and the use of special technologies.

7. Adjuvation, aids to facilitate personal mobility.

8. Limb prostheses and their classification, construction. Propulsion and sensor subsystems of prosthetic aids.

9. Orthoses and their classification. Construction of orthoses.

10. Biofeedback. Possibilities of using computer games or other motivational tools to increase patient awareness and responsibility. Methods and principles used in biofeedback technologies.

11. Architecture of surveillance systems

12. Technology in the role of companion or mentor.

13. Brain-computer interface (BCI, brain-gate system): principles and limitations. Other future perspectives, e.g. principles of function of some sensory replacement products.

14. Standards, recommendations and regulations for the development of technologies used by users with disabilities.

Syllabus of tutorials:

Exercises will take the form of practical projects in which students will test the knowledge acquired in lectures.

Study Objective:

Study materials:

Cook A.M., Polgar J.M. Assistive Technologies: Principles and Practice. Mosby, 2015. ISBN 9780323096317

Yasuura H., Liu Y., Kyung C.M. Smart Sensors and Systems: Technology Advancement and Application Demonstrations. Springer, 2020

Note:

Further information:

No time-table has been prepared for this course

The course is a part of the following study plans: