Approximate entropy

In statistics, an approximate entropy (ApEn) is a technique used to quantify the amount of regularity and the unpredictability of fluctuations over… (More)
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Topic mentions per year

1994-2017
020406019942017

Papers overview

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2011
2011
Modulation recognition finds its application in today's cognitive systems ranging from civilian to military installations… (More)
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Highly Cited
2009
Highly Cited
2009
In this study, a new scheme was presented for detecting epileptic seizures from electro-encephalo-gram (EEG) data recorded from… (More)
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Highly Cited
2008
Highly Cited
2008
Calculation of approximate entropy (ApEn) requires <i>a</i> <i>priori</i> determination of two unknown parameters, <i>m</i> and… (More)
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2008
2008
  • George Manis
  • Computer Methods and Programs in Biomedicine
  • 2008
The approximate entropy (ApEn) is a measure of systems complexity. The implementation of the method is computationally expensive… (More)
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Highly Cited
2007
Highly Cited
2007
The electroencephalogram (EEG) signal plays an important role in the diagnosis of epilepsy. The EEG recordings of the ambulatory… (More)
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Highly Cited
2006
Highly Cited
2006
This paper presents a new approach to machine health monitoring based on the Approximate Entropy (ApEn), which is a statistical… (More)
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Highly Cited
2005
Highly Cited
2005
We studied changes in intracranial pressure (ICP) complexity, estimated by the approximate entropy (ApEn) of the ICP signal, as… (More)
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Highly Cited
2002
Highly Cited
2002
We use information entropy measure to extend the rough set based notion of a reduct. We introduce the Approximate Entropy… (More)
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2000
2000
Background. The quantification of subtle patterns in sequential data, and their changes, has considerable potential utility… (More)
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1997
1997
The detection of motion from image sequences is usually performed using a time differential method or calculating the difference… (More)
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