Results 1 to 10 of about 3,634,675 (142)
Multivariate improved weighted multi-scale permutation entropy and its application on EEG data [PDF]
, 2017 This paper introduces an entropy based method that measures complexity in non-stationary multivariate signals. This method, called Mutivariate Improved Weighted Multiscale Permutation Entropy (mvIWMPE), has two main advantages: (i) it shows lower ...
N. Jrad +15 more
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Permutation Entropy for the Characterisation of Brain Activity Recorded with Magnetoencephalograms in Healthy Ageing [PDF]
, 2019 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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Novel QRS Detection Based on the Adaptive Improved Permutation Entropy
, 2022 we propose a novel QRS detection algorithm based on a new Permutation Entropy (PE) method that we developed and referred to as the Adaptive Improved Permutation Entropy (AIPE) method. The parameters of the AIPE method are determined based on the specific
Hung Cao (9078581) +4 more
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Improved method for detecting weak abrupt information based on permutation entropy [PDF]
, 2017 As a dynamic detecting method for abrupt information, permutation entropy could effectively reflect the subtle change in time series data, which is also simple and can be computed conveniently.
Yongjun Shen +3 more
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Gear compound fault detection method based on improved multiscale permutation entropy and local mean decomposition [PDF]
, 2021 The traditional multiscale entropy algorithm shows inconsistency because some points are ignored when the signal is coarsened. To solve this problem, this paper proposes an improved multiscale permutation entropy (IMSPE).
Qinge Dai +5 more
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Maximum entropy variable permutation importance.
, 2021 Maximum entropy variable permutation importance.
Thomas R. Unnasch (7444841) +3 more
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, 2023 The transition from a chaotic to a periodic state in the Duffing chaotic oscillator detection system is crucial in detecting weak signals. However, accurately determining the critical threshold for this transition remains a challenging problem ...
Yaan Li, Jing Zhou, Mingzhou Wang
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, 2020 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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, 2021 Research on damage diagnosis or safety monitoring based on structural vibration response is one of the hot issues in the engineering field. The characteristic information of the structure is obtained by analyzing the structure response data.
Yang Li +4 more
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A New Kind of Permutation Entropy Used to Classify Sleep Stages from Invisible EEG Microstructure [PDF]
, 2017 Permutation entropy and order patterns in an EEG signal have been applied by several authors to study sleep, anesthesia, and epileptic absences. Here, we discuss a new version of permutation entropy, which is interpreted as distance to white noise.
Bandt, Christoph, Christoph Bandt
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