Results 151 to 160 of about 462,768 (332)

Differential Nap‐To‐Nap Stability of Sleep Spindles, Slow Waves, and their Temporal Coupling: An Exploratory Study

open access: yesJournal of Sleep Research, EarlyView.
ABSTRACT Slow waves and sleep spindles characterise non‐rapid eye movement (NREM) sleep and support cognitive and plasticity‐related functions. While their stability across nights is well established, less is known about their consistency across daytime naps.
Damiana Bergamo   +3 more
wiley   +1 more source

Refined Division of Sleep Stages in the Mouse Based on Distributed Deep Electrodes and Underlying Infra‐Slow Oscillation

open access: yesJournal of Sleep Research, EarlyView.
ABSTRACT The mouse sleep is mostly recorded with only epidural electrodes and divided simply into NREM and REM stages. With the help of distributed intracerebral triplet electrodes, we searched for possible new electrophysiological signatures to characterise more specific sleep substages within the timeframe of seconds to tens of minutes.
Nanxiang Jin   +8 more
wiley   +1 more source

The Potential of Ensemble‐Based Automated Sleep Staging on Single‐Channel EEG Signal From a Wearable Device

open access: yesJournal of Sleep Research, EarlyView.
ABSTRACT Machine‐learning‐based sleep staging models have achieved expert‐level performance on standard polysomnographic (PSG) data. However, their application to EEG recorded by wearable devices remains limited by non‐conventional referencing montage and the lack of benchmarking against PSG.
Federico Salfi   +6 more
wiley   +1 more source

Monitoring panels of sparse functional data

open access: yesJournal of Time Series Analysis, EarlyView.
Panels of random functions are common in applications of functional data analysis. They often occur when sequences of functions are observed at a number of different locations. We propose a methodology to monitor for structural breaks in such panels and to identify the changing components with statistical certainty.
Tim Kutta   +2 more
wiley   +1 more source

Change Point Analysis for Functional Data Using Empirical Characteristic Functionals

open access: yesJournal of Time Series Analysis, EarlyView.
ABSTRACT We develop a new method to detect change points in the distribution of functional data based on integrated CUSUM processes of empirical characteristic functionals. Asymptotic results are presented under conditions allowing for low‐order moments and serial dependence in the data establishing the limiting null‐distribution of the proposed test ...
Lajos Horváth   +2 more
wiley   +1 more source

Functional Sieve Bootstrap for the Partial Sum Process With an Application to Change‐Point Detection

open access: yesJournal of Time Series Analysis, EarlyView.
ABSTRACT This article applies the functional sieve bootstrap (FSB) to estimate the distribution of the partial sum process for time series stemming from a weakly stationary functional process. Consistency of the FSB procedure under weak assumptions on the underlying functional process is established.
Efstathios Paparoditis   +2 more
wiley   +1 more source

Density‐Valued ARMA Models by Spline Mixtures

open access: yesJournal of Time Series Analysis, EarlyView.
ABSTRACT This paper proposes a novel framework for modeling time series of probability density functions by extending autoregressive moving average (ARMA) models to density‐valued data. The method is based on a transformation approach, wherein each density function on a compact domain [0,1]d$$ {\left[0,1\right]}^d $$ is approximated by a B‐spline ...
Yasumasa Matsuda, Rei Iwafuchi
wiley   +1 more source

Using Holo-Hilbert spectral analysis to quantify the modulation of Dansgaard-Oeschger events by obliquity

open access: yesQuaternary Science Reviews, 2018
Jia Deng   +5 more
semanticscholar   +1 more source

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