Sample entropy

Sample entropy (SampEn) is a modification of approximate entropy (ApEn), used for assessing the complexity of physiological time-series signals… (More)
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Highly Cited
2016
Highly Cited
2016
Battery health monitoring and management is of extreme importance for the performance and cost of electric vehicles. This paper… (More)
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Highly Cited
2012
Highly Cited
2012
Multivariate physical and biological recordings are common and their simultaneous analysis is a prerequisite for the… (More)
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Highly Cited
2012
Highly Cited
2012
Epilepsy is a neurological disorder characterized by the presence of recurring seizures. Like many other neurological disorders… (More)
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2012
2012
Extreme learning machine (ELM) as a new learning algorithm has been proposed for single-hidden layer feed-forward neural networks… (More)
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2011
2011
Both sample entropy and approximate entropy are measurements of complexity. The two methods have received a great deal of… (More)
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Highly Cited
2010
Highly Cited
2010
The electroencephalogram (EEG) signal plays a key role in the diagnosis of epilepsy. Substantial data is generated by the EEG… (More)
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2009
2009
Sign language forms a communication channel among the deaf; however, automated gesture recognition could further expand their… (More)
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Highly Cited
2007
Highly Cited
2007
Sample entropy, a nonlinear signal processing approach, was used as a measure of signal complexity to evaluate the cyclic… (More)
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Highly Cited
2006
Highly Cited
2006
This paper considers the multiscale entropy (MSE) approach for estimating the regularity of time series at different scales… (More)
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Highly Cited
2000
Highly Cited
2000
[PDF] [Full Text] [Abstract] , June 1, 2006; 8 (6): 398-402. Europace V. Tuzcu, S. Nas, T. Borklu and A. Ugur Decrease in the… (More)
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