نتایج جستجو برای: stages

تعداد نتایج: 184611  

پایان نامه :دانشگاه آزاد اسلامی - دانشگاه آزاد اسلامی واحد تهران مرکزی - دانشکده مدیریت 1392

data envelopment analysis (dea) is a powerful tool for measuring relative efficiency of organizational units referred to as decision making units (dmus). in most cases dmus have network structures with internal linking activities. traditional dea models, however, consider dmus as black boxes with no regard to their linking activities and therefore do not provide decision makers with the reasons...

Journal: :Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology 2012
Kristína Mezeiová Milan Paluš

OBJECTIVE Potential differences between coherence and phase synchronization analyses of human sleep electroencephalogram (EEG) are assessed and occurrences of phase vs. complete synchronization between EEG signals from different locations during different sleep stages are investigated. METHODS Linear spectral coherence, mean phase coherence (MPC) z-score and Pearson's correlation coefficient ...

Journal: :Neuroscience letters 1997
H Otzenberger C Simon C Gronfier G Brandenberger

In previous sleep studies, it has been demonstrated that Poincare plots of RR intervals, which provide a beat to beat dynamic measure of heart rate variability, have distinctive and characteristic patterns according to sleep stages. This study was designed to evaluate the temporal relationship between heart rate variability and sleep electroencephalographic activity (EEG) by using the Pearson's...

Journal: :Studies in health technology and informatics 2003
Stéphane Bruno Pascal Scalart Pierre Lutzler

We describe in this paper a smart multisensor kernel, given the shape of a wriststrap and able to characterise a current physiological state among a number of ones resulting from a previous analysis, and to transmit those results using a radio link. The main advantage of this product is its adaptability. As examples, we describe two applications which are the remote monitoring of elderly people...

Journal: :Sleep 1995
M S Mourtazaev B Kemp A H Zwinderman H A Kamphuisen

Low-frequency EEG was analyzed quantitatively during 2 nights in 40 females and 34 males aged 26 to 101 years. Analyses were based on Rechtschaffen and Kales NREM sleep stages, on absolute low-frequency amplitude (i.e. power in the range of 0.2-2.0 Hz) and on low-frequency continuity. The latter parameter describes how much (0-100%) of the current slow-wave activity is continued in the near-fut...

2004
S. Devuyst

When a patient falls asleep, he transits by different sleep stages, which characterize the quality of his night. To determine these sleep stages, the technicians visually analyzes the polysomnographic signals (PSG) witch have different aspects according to these stages. However, this task requires a lot of time. This is why one generally tries to class them automatically. Then, one is generally...

2011
Scott M. McKinney Thien Thanh Dang-Vu Orfeu M. Buxton Jo M. Solet Jeffrey M. Ellenbogen

The neural correlates of the wake-sleep continuum remain incompletely understood, limiting the development of adaptive drug delivery systems for promoting sleep maintenance. The most useful measure for resolving early positions along this continuum is the alpha oscillation, an 8-13 Hz electroencephalographic rhythm prominent over posterior scalp locations. The brain activation signature of wake...

Journal: :Critical care and resuscitation : journal of the Australasian Academy of Critical Care Medicine 2001
T Nicholson J Patel J W Sleigh

OBJECTIVE To objectively record sleep patterns in intensive care unit patients using the Bispectral Index as an electroencephalographic measure of sleep and to determine if the sleep pattern is correlated with various clinical factors. METHODS Adult intensive care patients were recruited who were in the recovery phase of their illness and on minimal sedation. The sleep pattern was examined us...

Journal: :Brain and Language 2017
Christine Blume Renata del Giudice Julia Lechinger Malgorzata Wislowska Dominik P.J. Heib Kerstin Hoedlmoser Manuel Schabus

Information processing has been suggested to depend on the current state of the brain as well as stimulus characteristics (e.g. salience). We compared processing of salient stimuli (subject's own names [SONs] and angry voice [AV] stimuli) to processing of unfamiliar names (UNs) and neutral voice (NV) stimuli across different vigilance stages (i.e. wakefulness as well as sleep stages N1 and N2) ...

Journal: :Chance 2009
B Caffo B Swihart A Laffan C Crainiceanu N Punjabi

This working paper is hosted by The Berkeley Electronic Press (bepress) and may not be commercially reproduced without the permission of the copyright holder.

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