Time-domain methods for quantifying dynamic cerebral blood flow autoregulation: Review and recommendations. A white paper from the Cerebrovascular Research …
K Kostoglou, F Bello-Robles… - Journal of Cerebral …, 2024 - journals.sagepub.com
Cerebral Autoregulation (CA) is an important physiological mechanism stabilizing cerebral
blood flow (CBF) in response to changes in cerebral perfusion pressure (CPP). By …
blood flow (CBF) in response to changes in cerebral perfusion pressure (CPP). By …
On the computational complexity of the empirical mode decomposition algorithm
It has been claimed that the empirical mode decomposition (EMD) and its improved version
the ensemble EMD (EEMD) are computation intensive. In this study we will prove that the …
the ensemble EMD (EEMD) are computation intensive. In this study we will prove that the …
Nonstationarity of dynamic cerebral autoregulation
RB Panerai - Medical engineering & physics, 2014 - Elsevier
Dynamic cerebral autoregulation (dCA), the transient response of cerebral blood flow (CBF)
to rapid changes in arterial blood pressure (BP), is usually quantified by parameters …
to rapid changes in arterial blood pressure (BP), is usually quantified by parameters …
Empirical mode decomposition-an introduction
A Zeiler, R Faltermeier, IR Keck… - … joint conference on …, 2010 - ieeexplore.ieee.org
Due to external stimuli, biomedical signals are in general non-linear and non-stationary.
Empirical Mode Decomposition in conjunction with a Hilbert spectral transform, together …
Empirical Mode Decomposition in conjunction with a Hilbert spectral transform, together …
Multi-scale glycemic variability: a link to gray matter atrophy and cognitive decline in type 2 diabetes
Objective Type 2 diabetes mellitus (DM) accelerates brain aging and cognitive decline.
Complex interactions between hyperglycemia, glycemic variability and brain aging remain …
Complex interactions between hyperglycemia, glycemic variability and brain aging remain …
Dynamic cerebral autoregulation: different signal processing methods without influence on results and reproducibility
ED Gommer, E Shijaku, WH Mess… - Medical & biological …, 2010 - Springer
Cerebral autoregulation controls cerebral blood flow under changing cerebral perfusion
pressure. Standards for measurement and analysis of dynamic cerebral autoregulation …
pressure. Standards for measurement and analysis of dynamic cerebral autoregulation …
Cross-correlation analysis of stock markets using EMD and EEMD
M Xu, P Shang, A Lin - Physica A: Statistical Mechanics and its Applications, 2016 - Elsevier
Empirical mode decomposition (EMD) is a data-driven signal analysis method for nonlinear
and nonstationary data. Since it is intuitive, direct, posterior and adaptive, EMD is widely …
and nonstationary data. Since it is intuitive, direct, posterior and adaptive, EMD is widely …
Low-density EEG for neural activity reconstruction using multivariate empirical mode decomposition
Several approaches can be used to estimate neural activity. The main differences between
them concern the a priori information used and its sensitivity to high noise levels. Empirical …
them concern the a priori information used and its sensitivity to high noise levels. Empirical …
Impaired cerebral autoregulation is associated with brain atrophy and worse functional status in chronic ischemic stroke
Dynamic cerebral autoregulation (dCA) is impaired following stroke. However, the
relationship between dCA, brain atrophy, and functional outcomes following stroke remains …
relationship between dCA, brain atrophy, and functional outcomes following stroke remains …
Nonlinear phase interaction between nonstationary signals: a comparison study of methods based on Hilbert-Huang and Fourier transforms
Phase interactions among signals of physical and physiological systems can provide useful
information about the underlying control mechanisms of the systems. Physical and biological …
information about the underlying control mechanisms of the systems. Physical and biological …