My photoKatarzyna J. Cieslak-BLINOWSKA

Ph.D , Sc.D. Professor

Field of research

Analysis and modeling of biological signals in particular electrical brain activity - electroencephalogram (EEG) and electrocorticogram (EcoG), also otoacoustic emissions (OAE)

·        multivariate parametric models of EEG, ECoG applied for:

o   finding causal dependencies between brain electrical activity in different structures and assessment of the dynamic propagation of brain signals (Determination of information flow - Directed Transfer Function).

o   Propagation of gamma and beta activity during real and imaginary motor task

o   Propagation of electrocortical activity during fist clenching

o   Propagation of electrocortical activity during CAT experiment

o   Propagation of electrocortical activity during cognitive experiment

o   Propagation of EEG activity in WM auditory and visual experiments

·        time-frequency methods of signal analysis in particular adaptive approximations by Matching Pursuit (Time-frequency signal processing intro) applied for:

o   parameterization of EEG, ECoG and evoked potentials and finding their time-frequency representation,

·        analysis of signals of otoacoustic emissions, in particular determination of their resonant modes.

·        Lectures on: Bioelectric Phenomena and Biocybernetics

·        Promoted: more than 50 MSc and 10 Ph D

·        over 180 publications

·        Hirsch index h = 23

·        Expert-evaluator of the European Commission, Swedish Research Council, Spanish Ministry of Health, Marsden Fund of New Zealand, Qatar National Fund


My recent book: Practical Biomedical Signal Analysis Using MATLAB®

Katarzyna J. Blinowska, Jarosław Żygierewicz,

Practical Biomedical Signal Analysis Using MATLAB® assists readers in choosing the appropriate methods for solving concrete problems. It first describes in simple terms various methods of signal analysis. The next
sections indicate which methods are the most appropriate for the given signal in a particular context. The authors cover both basic and advanced methods and use MATLAB® to discuss applications.