Faculty of Technical Sciences

Subject: Digital processing of biomedical signals (17.BM105A)

Native organizations units: No data
General information:
 
Category Scientific-professional
Scientific or art field Telecommunications and Signal Processing
Interdisciplinary No
ECTS 4
Educational goal:

The subject introduces digital signal processing fundamentals needed for understanding and implementation of biomedical signal processing tools. Students should learn characteristics of discrete signals and systems, signal analysis in frequency domain, digital filters and their application.

Educational outcome:

Understanding of characteristics and differences among analog and digital signals and basic tools for their analysis. Usage and understanding of basic transformation of discrete signals. Ability to select , design and implement digital filters for specific application

Course content:

- Introduction, overview of analog signals and systems, basic signal manipulation, correlation, convolution, Fourier transform - Discrete signal and systems, sampling theorem - Z transformation, Discrete-time Fourier transform, FIR and IIR systems - Discrete Fourier transform and spectrum estimation - Digital filters, design and implementation Lectures will illustrate applications on biomedical signals.

Teaching methods:

lectures, exercises, lab sessions.

Literature:
Authors Title Year Publisher Language
Sečujski, M. i dr. Zbirka zadataka iz digitalne obrade signala 2017 Fakultet tehničkih nauka, Novi Sad Serbian language
Sečujski, M. i dr. Digitalna obrada signala 2019 Fakultet tehničkih nauka, Novi Sad Serbian language
Popović, M. Digitalna obrada signala 1997 Nauka, Beograd Serbian language
Rangaraj, R.M. Biomedical signal analysis 2002 Wiley-Interscience, New York English
Tatjana Lončar Turukalo, Vladimir Ostojić, Tijana Delić Prezentacije i računarske vežbe na web portalu Katedre za telekomunikacije i obradu signala 2016 Serbian language
Stanković, Lj. Digitalna obrada signala 1999 Univerzitet Crne Gore, Podgorica Serbian language
Knowledge evaluation:
Course activity Pre-examination Obligations Number of points
Test Yes Yes 10.00
Computer excersise defence Yes Yes 20.00
Written part of the exam - tasks and theory No Yes 70.00
Lecturers:

Asistent Lazić Ivan

Assistant - Master

Practical classes
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prof. dr Lončar-Turukalo Tatjana

Full Professor

Lectures

Asistent Kićanović Jelena

Assistant - Master

Computational classes
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Asistent sa doktoratom Nosek Tijana

Assistant with PhD

Practical classes

Faculty of Technical Sciences

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Contact:

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

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

© 2024. Faculty of Technical Sciences.