Dr. Juliana A. Knociková, Ph.D.

On these pages, I present my professional and research focus, which is primarily centered on the analysis of physiological and neurophysiological biosignals, the study of their complex dynamics, and the development of methods for their objective assessment. I work primarily with electroencephalography (EEG), functional near-infrared spectroscopy (fNIRS), electrocardiography (ECG), electromyography (EMG), electrodermal activity (EDA/GSR), as well as cardiac, respiratory, and pulse signals.

I focus on characterizing the dynamics of biological processes that exhibit non-stationary and nonlinear behavior and whose essential properties may therefore not be adequately captured by conventional analytical methods. I employ time-frequency and wavelet analysis, methods derived from chaos theory and nonlinear dynamics, as well as various measures of complexity, including entropy, fractal characteristics, and connectivity.

An important part of my research focuses on the interactions between the central nervous system and autonomic regulation. Using multimodal measurements, I investigate changes in brain, cardiovascular, respiratory, and autonomic activity under different conditions, including stress, relaxation, cognitive load, and guided breathing. I also explore the use of machine learning and artificial intelligence for the automated analysis of biosignals, the detection of psychophysiological states, and the assessment of recording quality, including the impact of artifacts.

The long-term goal of my research is to identify and validate quantitative biomarkers of physiological and pathological changes and to translate them into reproducible analytical methods and software tools for neurophysiology. Ultimately, these efforts aim to contribute to the development of non-invasive methods for objective monitoring, diagnosis, and prognosis of neurological and neuropsychiatric disorders.