Results 31 to 40 of about 338,331 (240)
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
core +1 more source
The asymptotic distribution of the permutation entropy [PDF]
, 2023 Ordinal patterns serve as a robust symbolic transformation technique, enabling the unveiling of latent dynamics within time series data. This methodology involves constructing histograms of patterns, followed by the calculation of both entropy and ...
Frery, A. C. +3 more
core +1 more source
Research on fault identification method based on multi-resolution permutation entropy and ABC-SVM
Journal of Applied Science and Engineering, 2022 Aiming at the difficulty of pipeline blockage fault identification, a fault identification method based on multiresolution permutation entropy and artificial bee colony (ABC) algorithm optimized support vector machine (SVM) is proposed.
Jingzong Yang +2 more
doaj +1 more source
Epileptogenic focus detection in intracranial EEG based on delay permutation entropy [PDF]
, 2013 Epileptogenic localization is a critical factor for successful epilepsy surgery. Determining the epileptogenic hippocampus with single channel intracranial electroencephalography (iEEG) recording is beneficial to decrease the risk of infection compared ...
Peng Paul Wen +9 more
core +1 more source
Anesthesia Assessment Based on ICA Permutation Entropy Analysis of Two-Channel EEG Signals [PDF]
, 2019 Inaccurate assessment may lead to inaccurate levels of dosage given to the patients that may lead to intraoperative awareness that is caused by under dosage during surgery or prolonged recovery in patients that is caused by over dosage after the surgery ...
Sivakumar, Prashanth +5 more
core +1 more source
Russian Journal of Earth Sciences, 2023 This paper discusses one of the approaches that allows us to assess the degree of complexity or randomness of fragments of a time series in order to detect infrasound or geomagnetic signals in the results of observations of the dynamics of the natural or
Kudryavtsev Nikolay +2 more
doaj +1 more source
Shock and Vibration, 2019 A spiral-bevel gear is a basic transmission component and is widely used in mechanical equipment; thus, it is important to monitor and diagnose its running state to ensure safe operation of the entire equipment setup.
Lingli Jiang +4 more
doaj +1 more source
Classifying Epileptic EEG Signals with Delay Permutation Entropy and Multi-scale K-Means
, 2014 Most epileptic EEG classification algorithms are supervised and require large training datasets, that hinder their use in real time applications. This chapter proposes an unsupervised Multi-Scale K-means (MSK-means) algorithm to distinguish epileptic EEG
Zhu, Guohun +7 more
core +1 more source
On integrating size and shape distributions into a spatio-temporal information entropy framework [PDF]
, 2019 Understanding the structuration of spatio-temporal information is a common endeavour to many disciplines and application domains, e.g., geography, ecology, urban planning, epidemiology.
Christophe Claramunt +5 more
core +1 more source
Anomaly Detection in Paleoclimate Records Using Permutation Entropy
Entropy, 2018 Permutation entropy techniques can be useful for identifying anomalies in paleoclimate data records, including noise, outliers, and post-processing issues.
Joshua Garland +5 more
doaj +1 more source