Results 81 to 90 of about 5,802,905 (300)

Complementing Engel Classification: Postoperative Scalp EEG as an Objective Indicator in SEEG‐Guided Radiofrequency Thermocoagulation—A Seizure‐Onset Pattern‐Based Stratified Analysis—

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Stereoelectroencephalography‐guided radiofrequency thermocoagulation (SEEG‐RFTC) is a minimally invasive therapy for drug‐resistant focal epilepsy. However, the relationship between specific seizure‐onset patterns (SOPs), particularly low‐voltage fast activity (LVFA), and postoperative scalp EEG normalization remains inadequately ...
Yi‐qing Yang   +6 more
wiley   +1 more source

A New Cooperative Anomaly Detection Method for Stacker Running Track of Automated Storage and Retrieval System in Industrial Environment

open access: yesJournal of Control Science and Engineering, 2018
Considering the complexity and the criticality of the stacker equipment, in order to solve the problem that the stop accuracy of the stacker reduces or even fails to work due to abrasion of the running rail, this paper proposes a cooperative detection ...
Darong Huang   +3 more
doaj   +1 more source

Wavelet Transform-Based Signal Denoising in Low-Field NMR

open access: yesChinese Journal of Magnetic Resonance, 2018
Low-field NMR often uses permanent magnet. The signals obtained contain high level of white Gaussian noises, and have low signal-to-noise ratio (SNR). In recent years, many denoising methods have been proposed for low-field NMR measurements.
CHANG Xiao, SU Guan-qun, NIE Sheng-dong
doaj   +1 more source

Associations Between Biomarkers of Alzheimer's Disease and Sleep in Cognitively Unimpaired Older Adults

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Sleep disturbances have been implicated as a risk factor for developing Alzheimer's disease (AD), but evidence linking plasma AD biomarkers to sleep in cognitively unimpaired individuals remains limited. The present study examined associations between evening, morning, and overnight changes in plasma AD biomarkers and measures of ...
Cornelia Sauter   +5 more
wiley   +1 more source

Tsallis Wavelet Entropy and Its Application in Power Signal Analysis

open access: yesEntropy, 2014
As a novel data mining approach, a wavelet entropy algorithm is used to perform entropy statistics on wavelet coefficients (or reconstructed signals) at various wavelet scales on the basis of wavelet decomposition and entropy statistic theory.
Jikai Chen, Guoqing Li
doaj   +1 more source

Two-wavelet theory in Weinstein setting

open access: yesInternational Journal of Wavelets, Multiresolution and Information Processing, 2022
In this paper, we establish the concept of a two-wavelet in Weinstein setting. Then we introduce and demonstrate the resolution of the identity formula for the continuous Weinstein wavelet transform. In the end, we show few results on Calderón’s-type reproducing kernels in the context of the two-wavelet transform in Weinstein setting.
openaire   +3 more sources

Improving the Diagnostic Accuracy of Plasma Alzheimer's Disease Biomarkers With Objective and Subjective Cognitive Screening

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Blood‐based biomarkers are increasingly used to identify Alzheimer's disease (AD) pathology and may play an important role in early disease screening and participant selection for clinical trials. However, their performance across stages of cognitive impairment remains unclear. This study examined whether plasma biomarkers differ in
Maryam Abdolmaleki   +7 more
wiley   +1 more source

Two-channel sampling in wavelet subspaces

open access: yesAnalele Stiintifice ale Universitatii Ovidius Constanta: Seria Matematica, 2015
We develop two-channel sampling theory in the wavelet subspace V1 from the multi resolution analysis {Vj}j∈𝕫. Extending earlier results by G. G. Walter [11], W. Chen and S. Itoh [2] and Y. M.
Kim J.M., Kwon K.H.
doaj   +1 more source

Artificial Intelligence in Systemic Sclerosis: Clinical Applications, Challenges, and Future Directions

open access: yesArthritis Care &Research, EarlyView.
Systemic sclerosis (SSc) is a rare autoimmune disease defined by immune dysregulation, vasculopathy, and progressive fibrosis of the skin and internal organs. Despite advances in care, major complications such as interstitial lung disease (ILD) and myocardial involvement remain the leading causes of morbidity and mortality.
Cristiana Sieiro Santos   +2 more
wiley   +1 more source

Softver zasnovan na vejvelet transformaciji pogodan za analizu digitalizovanog sadržaja [PDF]

open access: yes, 2007
The digital contents database requires a more complexes software tools in order to searching, analysis’s, compression and reproduction. Wavelet theory provides the fast discrete algorithms suitable to computer programming application. The clear
Popović, Nikola   +2 more
core   +1 more source

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