Results 51 to 60 of about 13,661 (279)

Classifying Epileptic EEG Signals with Delay Permutation Entropy and Multi-scale K-Means

open access: yes, 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

A generalized permutation entropy for noisy dynamics and random processes [PDF]

open access: yes, 2021
Permutation entropy measures the complexity of a deterministic time series via a data symbolic quantization consisting of rank vectors called ordinal patterns or simply permutations.
Roberto Dale   +5 more
core   +1 more source

Multiscale permutation Rényi entropy and its application for EEG signals. [PDF]

open access: yesPLoS ONE, 2018
There is considerable interest in analyzing the complexity of electroencephalography (EEG) signals. However, some traditional complexity measure algorithms only quantify the complexities of signals, but cannot discriminate different signals very well. To
Yinghuang Yin, Kehui Sun, Shaobo He
doaj   +1 more source

Therapeutic Apheresis in Nigeria: A Multi‐Center Summary of Abstracts From the Inaugural Nigerian Society for Apheresis Scientific Meeting

open access: yesTherapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Background Therapeutic apheresis (TA) is an established treatment modality for hematologic, neurologic, and immunologic disorders, yet access remains severely limited in sub‐Saharan Africa. Donor apheresis, including platelet apheresis collection from healthy donors, represents an important complementary modality supporting blood product ...
Nosa Bazuaye   +33 more
wiley   +1 more source

Effectiveness of a Novel Low‐Density Lipoprotein Apheresis Device Rheocarna in Patients Undergoing Hemodialysis With Chronic Limb‐Threatening Ischemia: A Single‐Center Retrospective Study

open access: yesTherapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Background Chronic limb‐threatening ischemia (CLTI) is a severe form of lower‐extremity artery disease characterized by distal lesions and microcirculatory impairment, limiting revascularization efficacy. Rheocarna is a direct hemoperfusion low‐density lipoprotein (LDL) adsorption device with potential rheological and anti‐inflammatory ...
Kunihiro Ishioka   +12 more
wiley   +1 more source

Quantifying the Nonlinear Dynamic Behavior of the DC-DC Converter via Permutation Entropy

open access: yesEnergies, 2018
Quantifying nonlinear dynamic behaviors, such as bifurcation and chaos, in nonlinear systems are currently being investigated. In this paper, permutation entropy is used to characterize these complex phenomena in nonlinear direct current-direct current ...
Zhenxiong Luo   +3 more
doaj   +1 more source

Entropy increase in switching systems

open access: yes, 2013
The relation between the complexity of a time-switched dynamics and the complexity of its control sequence depends critically on the concept of a non-autonomous pullback attractor.
Giménez, Ángel   +7 more
core   +1 more source

Prognosis of Long‐Term Continuous Renal Replacement Therapy and the Impact of Combined Continuous Intravenous Sodium Infusion Therapy

open access: yesTherapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Introduction Patients requiring long‐term continuous renal replacement therapy (CRRT) generally have poor prognoses. This study evaluated whether adding continuous intravenous sodium infusion (cIVNa) is associated with improved hemodynamics and outcomes in patients undergoing long‐term CRRT for ≥ 7 days.
Akinori Yamaguchi   +6 more
wiley   +1 more source

Degradation State Identification of Cracked Ultrasonic Motor by Means of Fault Feature Extraction Method

open access: yesShock and Vibration, 2019
The cracking of piezoelectric ceramics is the main reason of failure of an ultrasonic motor. Since the fault information is too weak to reflect the condition of piezoelectric ceramics especially in the early degradation stage, a fault feature extraction ...
Guoqing An, Hongru Li
doaj   +1 more source

Prediction of Intrinsically Disordered Proteins Using Machine Learning Based on Low Complexity Methods

open access: yesAlgorithms, 2022
Prediction of intrinsic disordered proteins is a hot area in the field of bio-information. Due to the high cost of evaluating the disordered regions of protein sequences using experimental methods, we used a low-complexity prediction scheme.
Xingming Zeng, Haiyuan Liu, Hao He
doaj   +1 more source

Home - About - Disclaimer - Privacy