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Published in 2018 at "Neural Computing and Applications"
DOI: 10.1007/s00521-018-3556-4
Abstract: AbstractThis study explored a new nonparametric analytical method for identifying heterogeneous segments in time-series data for data-abundant processes. A sample entropy (SampEn) algorithm often used in signal processing and information theory can also be used…
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Keywords:
sample entropy;
process;
time series;
study ... See more keywords
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Published in 2018 at "Theoretical and Applied Climatology"
DOI: 10.1007/s00704-018-2496-3
Abstract: A climate system is characterized to be a complex non-linear system. In order to describe the complex characteristics of precipitation series in Paraíba State, Brazil, we aim the use of sample entropy, a kind of…
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Keywords:
precipitation;
sample entropy;
state brazil;
series ... See more keywords
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Published in 2020 at "Journal of Clinical Monitoring and Computing"
DOI: 10.1007/s10877-020-00470-6
Abstract: The ability to monitor the physiological effect of the analgesic agent is of interest in clinical practice. Nonstationary changes would appear in photoplethysmography (PPG) during the analgesics-driven transition to analgesia. The present work studied the…
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Keywords:
analgesia depth;
entropy;
approximate entropy;
sample entropy ... See more keywords
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Published in 2021 at "Nonlinear Dynamics"
DOI: 10.1007/s11071-021-06759-8
Abstract: Cross-sample entropy (CSE) allows to analyze the association level between two time series that are not necessarily stationary. The current criteria to estimate the CSE are based on the normality assumption, but this condition is…
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Keywords:
time series;
time;
sample entropy;
cross sample ... See more keywords
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Published in 2021 at "IEEE Access"
DOI: 10.1109/access.2021.3055715
Abstract: This paper presents and compares two-parameter bifurcation diagrams obtained from the 0-1 test for chaos and sample entropy methods for nonlinear oscillating systems. Based on the computed diagrams it is often possible to establish a…
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Keywords:
test chaos;
bifurcation diagrams;
chaos sample;
chaos ... See more keywords
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Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3270310
Abstract: Cognitive workload is an internal factor that can be influenced by external factors. When drivers are distracted by these internal and external influences, their ability to drive safely can be compromised. Electroencephalogram (EEG) is a…
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Keywords:
sample entropy;
improved multiscale;
entropy;
multiscale sample ... See more keywords
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Published in 2022 at "IEEE Transactions on Neural Systems and Rehabilitation Engineering"
DOI: 10.1109/tnsre.2022.3144412
Abstract: In clinic, the acquisition of airflow with nasal prongs, masks, thermistor to monitor respiratory function is more uncomfortable and inconvenience than surface diaphragm electromyography (EMGdi) using electrode pads. The EMGdi with strong electrocardiograph (ECG) interference…
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Keywords:
diaphragm electromyography;
sample entropy;
surface diaphragm;
surface ... See more keywords
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Published in 2017 at "Journal of applied biomechanics"
DOI: 10.1123/jab.2016-0019
Abstract: The objective of this study was to determine if a foam testing condition and/or nonlinear analysis methods can be used to identify differences between age stratified subgroups of older adults when conducting the Limits of…
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Keywords:
old old;
age;
limits stability;
sample entropy ... See more keywords
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Published in 2018 at "The Scientific World Journal"
DOI: 10.1155/2018/8463256
Abstract: Epilepsy is a disorder of the brain's nerves as a result of excessive brain cell activity. It is generally characterized by the recurrent unprovoked seizures. This neurological abnormality can be detected and evaluated using Electroencephalogram…
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Keywords:
classification;
eeg signals;
eeg classification;
sample entropy ... See more keywords
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Published in 2020 at "Mathematical Problems in Engineering"
DOI: 10.1155/2020/8882653
Abstract: The gear fault signal has some defects such as nonstationary nonlinearity. In order to increase the operating life of the gear, the gear operation is monitored. A gear fault diagnosis method based on variational mode…
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Keywords:
sample entropy;
gear fault;
fault;
fault diagnosis ... See more keywords
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Published in 2022 at "Structural Health Monitoring"
DOI: 10.1177/14759217221116417
Abstract: Intelligent fault diagnosis of rotating machinery is a key topic for industrial equipment maintenance and fault prevention. In this study, an intelligent diagnosis approach of rotating machinery via enhanced hierarchical symbolic sample entropy (EHSSE) is…
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Keywords:
enhanced hierarchical;
sample entropy;
symbolic sample;
diagnosis ... See more keywords