Results 41 to 50 of about 23,173,603 (235)
Improving the accuracy of depth of anaesthesia using modified detrended fluctuation analysis method
This paper presents a modified detrended fluctuation analysis (MDFA) to improve the monitoring accuracy of the depth of anaesthesia (DoA). We first use MDFA to classify anaesthesia state levels into awake, light, moderate, deep and very deep states. Then
Wen, Peng, Nguyen-Ky, T., Li, Yan
core +1 more source
stfbnc/fathon: Fluctuation analysis algorithms in Python
python package for DFA (Detrended Fluctuation Analysis) and related ...
Stefano Bianchi
core +1 more source
Surface strain tunes the NiMo/electrolyte interface without altering intrinsic hydrogen evolution reaction (HER) kinetics. The strained surface exhibits a lower effective bubble‐detachment tendency and faster release of smaller H2 bubbles, sustaining a more accessible catalytic interface in near‐neutral electrolyte. Reduced bubble‐induced transport and
Si Eun Je +12 more
wiley +1 more source
How to quantify the complexity of a physiological signal is a crucial issue for verifying the underlying mechanism of a physiological system. The original algorithm of detrended fluctuation analysis (DFA) quantifies the complexity of signals using the ...
葉家榮;范守仁;謝建興 +1 more
core +1 more source
Abstract Heart failure (HF) creates a considerable clinical, humanistic and economic burden on patients and caregivers as well as on healthcare systems. To attenuate the significant burden of HF, there is a need for enhanced management of patients with HF.
Javed Butler +8 more
wiley +1 more source
The empirical mode decomposition embedded detrended fluctuation analysis (EMD-DFA) technique.
The empirical mode decomposition embedded detrended fluctuation analysis (EMD-DFA) technique.
Jue Zhang (310408) +5 more
core +1 more source
Effect of trends on detrended fluctuation analysis [PDF]
The origin and the properties of crossovers in the scaling behavior of noisy signals were studied by applying the detrended fluctuation analysis (DFA) method first on correlated noise and then on noise with trends, and comparing the difference in the ...
Hu, Kun +9 more
core +1 more source
Abstract Objective Transcutaneous auricular vagus nerve stimulation (taVNS) is a noninvasive neuromodulation strategy for drug‐resistant epilepsy, but clinical response is heterogeneous. We examined whether electroencephalographic (EEG) and structural magnetic resonance imaging (MRI) phenotypes were associated with active‐specific clinical benefit from
Sung Jun Hong +6 more
wiley +1 more source
Multifractal Detrended Cross-Correlation Analysis of Global Methane and Temperature
Multifractal Detrended Cross-Correlation Analysis (MF-DCCA) was applied to time series of global methane concentrations and remotely-sensed temperature anomalies of the global lower and mid-troposphere, with the purpose of investigating the multifractal ...
Chris G. Tzanis +3 more
doaj +1 more source
State‐Dependent Market (In)Efficiency in Cryptocurrency Markets
ABSTRACT This paper develops a meta‐learning framework to test whether cryptocurrency market inefficiency is static or state‐dependent. To resolve competing claims between the Efficient and Adaptive Market Hypotheses (AMH), we construct an adaptive trading strategy using high‐frequency data for 50 major cryptocurrencies.
Sasan Barak +2 more
wiley +1 more source

