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   Articles with "sample entropy" as a keyword



Retrospective analysis for phase I statistical process control and process capability study using revised sample entropy

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recommendations! 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… read more here.

Keywords: sample entropy; process; time series; study ... See more keywords

An application of sample entropy to precipitation in Paraíba State, Brazil

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recommendations! 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… read more here.

Keywords: precipitation; sample entropy; state brazil; series ... See more keywords

Photoplethysmography-derived approximate entropy and sample entropy as measures of analgesia depth during propofol–remifentanil anesthesia

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recommendations! 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… read more here.

Keywords: analgesia depth; entropy; approximate entropy; sample entropy ... See more keywords
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Cross-sample entropy estimation for time series analysis: a nonparametric approach

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recommendations! 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… read more here.

Keywords: time series; time; sample entropy; cross sample ... See more keywords

Interval prediction of PV power based on double sample entropy framework and integrated bidomain decomposition deep learning

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recommendations! Published in 2024 at "IET Renewable Power Generation"

DOI: 10.1049/rpg2.12966

Abstract: A method for photovoltaic (PV) power interval prediction based on double sample entropy framework and integrated bidomain decomposition deep learning is proposed to address the volatility, randomness, intermittency and timeliness of PV power prediction. By… read more here.

Keywords: deep learning; power; integrated bidomain; sample entropy ... See more keywords

Two-Parameter 0-1 Test for Chaos and Sample Entropy Bifurcation Diagrams for Nonlinear Oscillating Systems

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recommendations! 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… read more here.

Keywords: test chaos; bifurcation diagrams; chaos sample; chaos ... See more keywords
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Drivers’ Workload Electroencephalogram Characteristics in Cognitive Tasks Based on Improved Multiscale Sample Entropy

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recommendations! 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… read more here.

Keywords: sample entropy; improved multiscale; entropy; multiscale sample ... See more keywords

Evaluation of Correlation Between Surface Diaphragm Electromyography and Airflow Using Fixed Sample Entropy in Healthy Subjects

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recommendations! 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… read more here.

Keywords: diaphragm electromyography; sample entropy; surface diaphragm; surface ... See more keywords

FASE: An FPGA-Based Accelerator for Lightweight Sample Entropy With Monte Carlo Sampling

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recommendations! Published in 2025 at "IEEE Transactions on Very Large Scale Integration (VLSI) Systems"

DOI: 10.1109/tvlsi.2025.3593020

Abstract: Sample entropy (SampEn) is an algorithm within information entropy that enables effective analysis of biological signals. Due to the need for extensive similarity matching operations, the SampEn calculation process is time-consuming. Although a series of… read more here.

Keywords: fpga based; tex math; sample entropy; inline formula ... See more keywords

Age Stratification and Sample Entropy Analysis Enhance the Limits of Stability Tests for Older Adults.

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recommendations! 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… read more here.

Keywords: old old; age; limits stability; sample entropy ... See more keywords

Sample Entropy on Multidistance Signal Level Difference for Epileptic EEG Classification

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recommendations! 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… read more here.

Keywords: classification; eeg signals; eeg classification; sample entropy ... See more keywords