Faculty of Technical Sciences

Subject: Methods of Electrophysiological Signals Analysis (17.AU503)

General information:
 
Category Scientific-professional
Scientific or art field
  • Biomedicinsko inženjerstvo
  • Automatic Control and System Engineering
ECTS 6

Students should gain knowledge about analysis and processing of electrophysiological signals.

The acquired knowledge is used in future work and education.

Classification of signals. Biomedical signal acquisition and processing. The origin of the biomedical signals. Time domain analysis and processing. Random processes, elements of probability theory, correlation, crosscorrelation, autocorrelation. Frequency domain analysis and processing, time - frequency analysis. Fourier transform, discrete Fourier transform, FFT, short time Fourier transform, wavelet transform. Spectral analysis. Compression and automatic recognition. ECG signal processing (filtering, QRS complex detection, high resolution ECG, heart rate variability signal analysis...). ECG waveform generator and simulator. EEG signal analysis, separation of EEG frequency components, differential brain activity of the left and right hemispheres, nap and awake state recognition, methods for evoked potential analysis.

Lectures, computer practice, project assignments. Consultations. The colloquia are taken in written form and the exam is both written and oral, with the written part being prerequisite for the oral. The final grade is formed on the bases of achievements at the colloquia, the quality of homework assignments and the written and oral part of the exam.

Authors Title Year Publisher Language
A. Cohen Biomedical signal processing: Compression and Automatic Recognition 1986 Boca Raton, Fla, CRC Press English
A. Cohen Biomedical signal processing: Time and Frequency Domain Analysis 1986 Boca Raton, Fla, CRC Press English
Rangaraj, R.M. Biomedical signal analysis 2002 Wiley-Interscience, New York English
Course activity Pre-examination Obligations Number of points
Coloquium exam No No 20.00
Computer excersise defence Yes Yes 30.00
Coloquium exam No No 20.00
Practical part of the exam - tasks No Yes 40.00
Theoretical part of the exam No Yes 30.00

Prof. Jorgovanović Nikola

Full Professor

Lectures

Assistant - Master Arsenović Jovana

Assistant - Master

Computational classes

Faculty of Technical Sciences

© 2024. Faculty of Technical Sciences.

Contact:

Address: Trg Dositeja Obradovića 6, 21102 Novi Sad

Phone:  (+381) 21 450 810
(+381) 21 6350 413

Fax : (+381) 21 458 133
Emejl: ftndean@uns.ac.rs

© 2024. Faculty of Technical Sciences.