A5042170742- Carbon Nanotubes in Composites
- Heart Rate Variability and Autonomic Control
- Fullerene Chemistry and Applications
- Complex Systems and Time Series Analysis
- Graphene research and applications
- Advanced Physical and Chemical Molecular Interactions
- Nanopore and Nanochannel Transport Studies
- Chaos control and synchronization
- Nonlinear Dynamics and Pattern Formation
- ECG Monitoring and Analysis
- Mechanical and Optical Resonators
- Non-Invasive Vital Sign Monitoring
- EEG and Brain-Computer Interfaces
- Membrane Separation Technologies
- Astrophysics and Star Formation Studies
- Neural Networks and Applications
- Quantum, superfluid, helium dynamics
- Chemical and Physical Properties of Materials
- Characterization and Applications of Magnetic Nanoparticles
- Stochastic processes and statistical mechanics
- Theoretical and Computational Physics
- Force Microscopy Techniques and Applications
- Time Series Analysis and Forecasting
- Glass properties and applications
- Neonatal and fetal brain pathology
University of Zielona Góra
2008-2022
Institute of Physics
2004-2021
University of Silesia in Katowice
2004-2005
Sample Entropy (SampEn) is a popular method for assessing the unpredictability of biological signals. Its calculation requires to preliminarily set tolerance threshold r and embedding dimension m. Even if most studies select m=2 r=0.2 times signal standard deviation, this choice somewhat arbitrary. Effects different m values on SampEn have been rarely assessed, because high computational burden task. Recently, however, fast algorithm estimating correlation sums (Norm Component Matrix, NCM)...
The results of research on new magnetic materials for biomedical applications are discussed. These porous silicate glasses with fillers. To ensure the smallest number components subsequent removal from body, fillers bare magnetite nanoparticles (Fe 3 O 4 ). properties these have been investigated using ferromagnetic resonance method (FMR). FMR analysis has complemented by scanning electron microscope (SEM) measurements. In order to examine effect time degradation filling glass measurement...
To detect stress in newborns by observing heart rate (HR) variability utilizing an asymmetric detrended fluctuation analysis (ADFA), we sought to determine the fractal structure of series inter-beat intervals, so as distinguish periods acceleration HR from decelerations. Thus, two scaling exponents, α + and -, representing decelerations accelerations respectively, are obtained.Forty healthy term were included this study, undergoing different types stimuli: routine heel lance blood sampling...
Journal of Applied Mathematics and Computational Mechanics, Prace Naukowe Instytutu Matematyki i Informatyki, Politechnika Częstochowska, Scientific Research the Institute Computer Science, Czestochowa University Technology
Journal of Applied Mathematics and Computational Mechanics, Prace Naukowe Instytutu Matematyki i Informatyki, Politechnika Częstochowska, Scientific Research the Institute Computer Science, Czestochowa University Technology
Abstract The relation between recently established asymmetry in Asymmetric Detrended Fluctuation Analysis (ADFA) and Heart Rate Asymmetry is studied. It found that the ADFA asymmetric exponents are related both to overall variability its components at all studied time scales. We find scaling exponents, i.e., $$\alpha ^{+}<\alpha ^{-}$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:msup> <mml:mi>α</mml:mi> <mml:mo>+</mml:mo> </mml:msup> <mml:mo><</mml:mo>...
Complexity of RR intervals can be measured by Sample entropy (SampEn) traditionally estimated only for a limited number points fixing the values embedding dimension "m" and distance threshold "r". Recently we have proposed new fast Norm Component Matrix (NCM) algorithm SampEn calculation — it allows analyzing whole ranges (m, r) leading to surfaces. This study is aimed at analysis these surfaces in scope day-to-night variations complexity NCM.