PristupačnostNeurophysiological Signal Analysis
Data is displayed for academic year: 2024./2025.
Lectures
Course Description
Introduction to neurophysiological signal analysis. Signal processing basics. Time-frequency analysis of neurophysiological signals. Neurophysiological signal processing in psychophysiological studies . Basic principles of electroencephalography (EEG). Applications of signal analysis methods in neurophysiological diagnostic procedures (EEG). Basic principles of evoked potentials (EP). Applications of signal analysis methods in neurophysiological diagnostic procedures (EP). Basic principles of polisomnography. Basic principles of electromyography (EMG). Applications of signal analysis methods in neurophysiological diagnostic procedures (EMG). Basic principles of autonomic nervous system testing (ANS). Applications of signal analysis methods in neurophysiological diagnostic procedures (ANS). Application of neurophysiological signal analysis in the cognitive function testing. Statistical methods applied in the neurophysiological signals analysis. Machine learning applied to neurophysiological signals. Applications of machine learning methods on neurophysiological signals. Deep learning of neurophysiological signals.
Study Programmes
University graduate
[FER3-HR] Biomedical Engineering - study
Elective Courses
(2. semester)
Learning Outcomes
- To identify what type of neurophysiological signals are required for use for specific clinical (therapeutic and diagnostic) purposes
- To distinguish appropriate methods of analysis depending on the type of application (different groups of subjects - different pathologies, different methods of data collection).
- To design your own system for neurophysiological signal analysis.
- To connect the results obtained by the analysis of neurophysiological signals with the metabolic and morphological background in a certain type of pathology.
Forms of Teaching
Lectures
Exams
Laboratory
Exams
Laboratory
Week by Week Schedule
- Lectures: Introduction to neurophysiological signal analysis
- Lectures: Signal processing basics
- Lectures: Time-frequency analysis of neurophysiological signals
- Lectures: Neurophysiological signal processing in psychophysiological studies
- Lectures: Basic principles of electroencephalography (EEG), Laboratory: Applications of signal analysis methods in neurophysiological diagnostic procedures (EEG)
- Lectures: Basic principles of evoked potentials (EP), Laboratory: Applications of signal analysis methods in neurophysiological diagnostic procedures (EP)
- Lectures: Basic principles of polisomnography
- Lectures: Midterm exam, Laboratory: Midterm exam
- Lectures: Basic principles of electromyography (EMG), Laboratory: Applications of signal analysis methods in neurophysiological diagnostic procedures (EMG)
- Lectures: Basic principles of autonomic nervous system testing (ANS), Laboratory: Applications of signal analysis methods in neurophysiological diagnostic procedures (ANS)
- Lectures: Application of neurophysiological signal analysis in the cognitive function testing
- Lectures: Statistical methods applied in the neurophysiological signals analysi
- Lectures: Machine learning applied to neurophysiological signals, Laboratory: Applications of machine learning methods on neurophysiological signals
- Lectures: Deep learning of neurophysiological signals
- Lectures: Final exam, Laboratory: Final exam
Literature
(.), Išgum V. i suradnici. Elektrofiziološke metode u medicinskim istraživanjima, Medicinska naklada Zagreb, 2003. - priručnik ISBN 953-176-135-3,
Subasi A. (2019.), Practical Guide for Biomedical Signals Analysis Using Machine Learning Techniques., Academic Press
For students
General
ID 261438
Summer semester
5 ECTS
L3 English Level
L1 e-Learning
30 Lectures
0 Seminar
0 Exercises
15 Laboratory exercises
0 Project laboratory
0 Physical education excercises
Grading System
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