نتایج جستجو برای: sleep stages

تعداد نتایج: 295823  

2017
Shirin Najdi Ali Abdollahi Gharbali José Manuel Fonseca

BACKGROUND Nowadays, sleep quality is one of the most important measures of healthy life, especially considering the huge number of sleep-related disorders. Identifying sleep stages using polysomnographic (PSG) signals is the traditional way of assessing sleep quality. However, the manual process of sleep stage classification is time-consuming, subjective and costly. Therefore, in order to impr...

Journal: :Early human development 2015
Michiko Yoshida Hitomi Shinohara Hideya Kodama

OBJECTIVE To elucidate characteristic sleep architecture of different nocturnal sleep patterns in early infancy. METHODS Participants were 27 infants at the same conceptional age of 3-4months. Nocturnal sleep of these infants was monitored at home by simultaneously using actigraphy and a one-channel portable EEG device. According to the infants' activity for 6h from sleep onset, each night's ...

2012
Shing-Tai Pan Chih-En Kuo Jian-Hong Zeng Sheng-Fu Liang

BACKGROUND Approximately one-third of the human lifespan is spent sleeping. To diagnose sleep problems, all-night polysomnographic (PSG) recordings including electroencephalograms (EEGs), electrooculograms (EOGs) and electromyograms (EMGs), are usually acquired from the patient and scored by a well-trained expert according to Rechtschaffen & Kales (R&K) rules. Visual sleep scoring is a time-con...

Background and Objectives: Sleep is a sign of the greatness of God. In this article sleep is described from Quran and modern health sciences. Methods: This is a qualitative systematic review. Data were gathered from the Quran, related Islamic narratives and literatures. Words that were searched included sleep,sleep stages, Subaat, Hojoo, Ruqood, Nu’ass, Sinah. Results: The results s...

Journal: :journal of electrical and computer engineering innovations 2013
r. kianzad h. montazery kordy

sleep stages classification is one of the most important methods for diagnosis in psychiatry and neurology. in this paper, a combination of three kinds of classifiers are proposed which classify the eeg signal into five sleep stages including awake, n-rem (non-rapid eye movement) stage 1, n-rem stage 2, n-rem stage 3 and 4 (also called slow wave sleep), and rem. twenty-five all night recordings...

Journal: :Brain and cognition 1999
T A Nielsen V Chénier

EEG coherence was examined in relation to four measures of socioemotional dream content, including a new measure--the proportional representation of a character's face. Twenty-four healthy subjects, recorded for sleep stages and EEG activity, were awakened from REM sleep to report dream mentation and to rate it on these variables. Coherence scores were calculated for homologous interhemispheric...

Journal: :Journal of neuroscience methods 2006
Antti Saastamoinen Hannu Oja Eero Huupponen Alpo Värri Joel Hasan Sari-Leena Himanen

In this work, topographic differences in computational sleep depth between healthy controls and obstructive sleep apnoea syndrome (OSAS) patients have been examined. Sleep depth estimation was based on continuous monitoring of the mean frequency of the EEG. During the experiments, all-night sleep EEG recordings of carefully age and gender matched sets of 16 healthy controls and 16 OSAS patients...

2013
Roman Rosipal Achim Lewandowski Georg Dorffner

The main goal of this study was to investigate to what extent polysomnographic (PSG) recordings of nocturnal human sleep can provide information about sleep quality in terms of correlation with a set of daytime measures. These measures were designed with the aim of comprising selected quality of night sleep and consist of subjective sleep quality ratings, neuropsychological tests and physiologi...

Journal: :The European respiratory journal 2011
N Ben-Israel Y Zigel A Tal Y Segev A Tarasiuk

The aim of the present study was to estimate slow-wave activity (SWA), a marker of sleep homeostasis, in children with obstructive sleep apnoea (OSA) before and after adenotonsillectomy (AT) compared with untreated OSA children (comparison group). 14 children with OSA (mean ± sd age 6.4 ± 2.5 yrs; apnoea-hypopnoea index (AHI) 10.0 ± 10.3 events·h⁻¹) who underwent AT were consecutively recruited...

Journal: :Behavioral sleep medicine 2015
Nicola Cellini Elizabeth A McDevitt Ashley A Ricker Kelly M Rowe Sara C Mednick

An automated wireless system (WS) for sleep monitoring was recently developed and validated for assessing nighttime sleep. Here, we aimed to evaluate the validity of the WS to correctly monitor daytime sleep during naps compared to polysomnography (PSG). We found that the WS underestimated wake, sleep onset latency, and wake after sleep onset. Meanwhile, it overestimated total sleep time, sleep...

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