Biomedical Signal Processing

Semester
First semester: PPKE, Budapest
Credit
4
Lecturer
Dr. Miklós GYÖNGY, PhD, associate professor
Character
Elective

Description

Throughout the lectures, we will encounter the following topics: biomedical signal genesis; signal representation; signal decomposition; source separation; AR estimation; Fourier analysis; frequency-time analysis; wavelets; sparse decomposition; data fusion; classification; non-stationary signals. Examples of signal modalities we will consider: pulse oximetry, phonocardiography, ECG, EEG.

For more information, please download the teaching guide HERE.

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