Results 11 to 20 of about 338,331 (240)
The aim of this study was to monitor acute response patterns of autonomic and central nervous system activity during an encounter with Antarctica by synchronously recording heart rate variability (HRV) and electroencephalography (EEG). On three different
H. Birol Çotuk +2 more
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An improved permutation entropy (PE) algorithm named coded permutation entropy (CPE) is proposed in this paper to optimize the problems existing in PE based on the secondary partitioning. The principle of CPE algorithm is given, and the performance of it
Huan Kang +2 more
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Permutation Entropy Based on Non-Uniform Embedding [PDF]
A novel visualization scheme for permutation entropy is presented in this paper. The proposed scheme is based on non-uniform attractor embedding of the investigated time series.
Mei Tao +4 more
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Ordinal Patterns, Entropy, and EEG
In this paper we illustrate the potential of ordinal-patterns-based methods for analysis of real-world data and, especially, of electroencephalogram (EEG) data. We apply already known (empirical permutation entropy, ordinal pattern distributions) and new
Karsten Keller +2 more
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Calculating Permutation Entropy without Permutations
A method for analyzing sequential data sets, similar to the permutation entropy one, is discussed. The characteristic features of this method are as follows: it preserves information about equal values, if any, in the embedding vectors; it is exempt from
Alexander K. Vidybida
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Materials from Schwab, S. M., Cooper, D., Carver, N. S., Doren, S., & Boyne, P. (2023). Motivation-related influences on fNIRS signals during walking exercise: a permutation entropy approach.
Sarah M. Schwab-Farrell +1 more
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Modeling of investment attractiveness of countries using entropy analysis of regional stock markets [PDF]
The current study focuses on the problem of determining investment attrаctiveness of countries by means of monitoring regional stock markets. The method of using the permutation entropy as a model of investment attractiveness estimation is suggested.
H. Danylchuk +3 more
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Permutation Entropy for Signal Analysis [PDF]
Shannon Entropy is the preeminent tool for measuring the level of uncertainty (and conversely, information content) in a random variable. In the field of communications, entropy can be used to express the information content of given signals (represented
Bill Kay +6 more
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Rolling Bearing Fault Diagnosis Based on VMD-MPE and PSO-SVM
The goal of the paper is to present a solution to improve the fault detection accuracy of rolling bearings. The method is based on variational mode decomposition (VMD), multiscale permutation entropy (MPE) and the particle swarm optimization-based ...
Maoyou Ye, Xiaoan Yan, Minping Jia
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Permutation Entropy for the Characterisation of Brain Activity Recorded with Magnetoencephalograms in Healthy Ageing [PDF]
The characterisation of healthy ageing of the brain could help create a fingerprint of normal ageing that might assist in the early diagnosis of neurodegenerative conditions. This study examined changes in resting state MEG permutation entropy due to age
Shumbayawonda, Elizabeth +3 more
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