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Approximate entropy

In statistics, an approximate entropy (ApEn) is a technique used to quantify the amount of regularity and the unpredictability of fluctuations over… 
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Related topics

Related topics

4 relations
Correlation dimensionRecurrence quantification analysisSample entropyTime series

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2017
2017
Diagnosis of Coronary Artery Disease Using Deep Belief Networks
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2017
2017
A Double Perturbation Method for Reducing Dynamical Degradation of the Digital Baker Map
The digital Baker map is widely used in different kinds of cryptosystems, especially for image encryption. However, any chaotic… 
2017
2017
Wavelet-based EEG processing for computer-aided seizure detection and epilepsy diagnosis
2011
2011
EEG Signal Processing in Anesthesia Feature Extraction of Time and Frequency Parameters
2008
2008
Nonparametric steganalysis of QIM data hiding using approximate entropy
This paper proposes a nonparametric steganalysis method for quantization index modulation (QIM) based steganography. The proposed… 
2008
2008
Approximate entropy for EEG-based movement detection
An approximate entropy feature is tested with parameters appropriate for online BCI - a short calculation window and use of the… 
2006
2006
Collective spectral pattern complexity analysis of voicing in normal males and larynx cancer patients following radiotherapy
2003
2003
Approximate entropy based pulse variability analysis
The dynamical analysis of pulse variability gives new insight into researches of cardiovascular system's dynamics. Firstly, long… 
2000
2000
Approximate entropy in cardiology
SummaryBackground. The quantification of subtle patterns in sequential data, and their changes, has considerable potential… 
1999
1999
Distinction of arrhythmias with the use of approximate entropy
Specialized therapies in the implantable cardioverter defibrillator (ICD) of antitachycardia pacing, low-energy cardioversion… 
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