Type of studies | Title |
---|---|
Doctoral Academic Studies | Computing and Control Engineering (Year: 1, Semester: Summer) |
Doctoral Academic Studies | Biomedical Engineering (Year: 1, Semester: Summer) |
Category | Scientific-professional |
Scientific or art field | Biomedicinsko inženjerstvo |
ECTS | 10 |
The aim of the course is for students to master advanced techniques in the field of neuroengineering.
Introduction to advanced engineering techniques used for better understanding the properties of nervous system. Options for improving the functionality of nervous system in the case of various pathologies. Introduction to advanced techniques for solving the design problems at the interface of living neural tissue and machines. Sensory and motor disorders and possibilities of restoration and augmentation of human function via direct interactions between the nervous system and artificial devices (Brain Computer Interface – BCI and neural prostheses). The use of neural implants connected with external technology.
Introduction to the latest research of the world's leading scientific research groups in the field of neuro-engineering. Applying advanced engineering techniques to analyse the properties of neural system. Applying advanced engineering techniques to analyse the properties of neuromuscular system. EMG, ENG and EEG signal analysis in time and frequency domain (advanced techniques). Evoked potentials, advanced methods for processing evoked potentials. Transcranial magnetic stimulation. Brain Computer Interface (BCI) technology. Neurofeedback. Control interface and biofeedback.
Lectures, tutorial work. Research study work.
Authors | Title | Year | Publisher | Language |
---|---|---|---|---|
2007 | English | |||
2000 | English | |||
1995 | English | |||
grupa autora | selektovani članci iz časopisa | 2019 | English | |
2008 | English | |||
2002 | English | |||
2007 | English | |||
2004 | English |
Course activity | Pre-examination | Obligations | Number of points |
---|---|---|---|
Project | Yes | Yes | 50.00 |
Oral part of the exam | No | Yes | 50.00 |
Full Professor
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© 2024. Faculty of Technical Sciences.