DIGITALNA OBRADA BIOMEDICINSKIH SIGNALA I SLIKA

After the student passes this exam, he will be able to: - It demonstrates the basic advantages of digital recording and processing of 1D and 2D signals in biomedicine. - Explain the need to use transformation domains with special emphasis on Fourier, DCT, Wavelet and time-frequency domain. - Creates digital filters (low-pass, high-pass, band-pass filter). - It uses MATLAB and LabVIEW to analyze characteristics in cases of on-line and off-line processing of biomedical signals. - It highlights the advantages of the Short Time Fourier Transform (STFT) over the Fourier Transform (FT) for ECG, PPG, EEG and HR signals. - It applies the principles and techniques of digital image processing in biomedical applications. - Creates MATLAB programs for 2D filtering and feature extraction. - Explains the basics of the Comprehensive Sensing technique (CS) with examples in the field of biomedicine. - Describe the role of telemedicine.