Results 51 to 60 of about 549,762 (295)
Quantification of sleep in dairy cows in three different stages of lactation [PDF]
, 2011 The aim of this project was to quantify the total sleep time in modern dairy cows during 24-hour periods and to investigate whether the total amount of sleep as well as time spent in different sleep stages varies between the dry period, early- and peak ...
Nilsson, Emma
core +1 more source
The McCance Brain Care Score and Mortality: Evidence From a Large‐Scale Population‐Based Cohort
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objectives This study aimed to examine the relationship between the McCance Brain Care Score (BCS) and mortality in the general population. Methods We conducted a prospective, population‐based cohort study using data from the UK Biobank. Participants with complete data enabling calculation of BCS and full mortality information were included ...
Zhiqiang Xu, Xiaoxiao Wang, Nan Li
wiley +1 more source
Cellular and neurochemical basis of sleep stages in the thalamocortical network
eLife, 2016 The link between the combined action of neuromodulators in the brain and global brain states remains a mystery. In this study, using biophysically realistic models of the thalamocortical network, we identified the critical intrinsic and synaptic ...
Giri P Krishnan +7 more
doaj +1 more source
Ssleepnet: a structured sleep network for sleep staging based on sleep apnea severity
Complex & Intelligent Systems, 2023 Sleep stage classification is essential in evaluating sleep quality. Sleep disorders disrupt the periodicity of sleep stages, especially the common obstructive sleep apnea (OSA).
Xingfeng Lv +3 more
doaj +1 more source
Heart Rate and Heart Rate Variability Change with Sleep Stage in Dairy Cows
Animals, 2021 Changes to the amount and patterns of sleep stages could be a useful tool to assess the effects of stress or changes to the environment in animal welfare research.
Laura B. Hunter +5 more
doaj +1 more source
Sleep Analytics and Online Selective Anomaly Detection
, 2014 We introduce a new problem, the Online Selective Anomaly Detection (OSAD), to model a specific scenario emerging from research in sleep science. Scientists have segmented sleep into several stages and stage two is characterized by two patterns (or ...
Andry A. +8 more
core +1 more source
A knowledge model for the development of a framework for hypnogram construction [PDF]
, 2017 The final publication is available via http://dx.doi.org/10.1016/j.knosys.2016.11.016[Abstract] We describe a proposal of a knowledge model for the development of a framework for hypnogram construction from intelligent analysis of pulmonology and ...
Cabrero-Canosa, Mariano +3 more
core +2 more sources
Glymphatic Dysfunction Reflects Post‐Concussion Symptoms: Changes Within 1 Month and After 3 Months
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Mild traumatic brain injury (mTBI) may alter glymphatic function; however, its progression and variability remain obscure. This study examined glymphatic function following mTBI within 1 month and after 3 months post‐injury to determine whether variations in glymphatic function are associated with post‐traumatic symptom severity ...
Eunkyung Kim +3 more
wiley +1 more source
, 2012 By means of the concept of balanced estimation of diffusion entropy we evaluate reliable scale-invariance embedded in different sleep stages and stride records.
Qiu, Lu +5 more
core +1 more source
Automatic detection of sleep spindles using Teager energy and spectral edge frequency [PDF]
, 2013 Sleep spindles are the hallmark of N2 stage of sleep. They are transient waveforms observed on sleep electroencephalogram and their identification is required for sleep staging.
Imtiaz, SA +2 more
core +1 more source