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Hernando Ombao

Researcher at King Abdullah University of Science and Technology

Publications -  234
Citations -  4991

Hernando Ombao is an academic researcher from King Abdullah University of Science and Technology. The author has contributed to research in topics: Computer science & Covariance. The author has an hindex of 33, co-authored 201 publications receiving 4079 citations. Previous affiliations of Hernando Ombao include University of California & University of Michigan.

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Acute stress affects heart rate variability during sleep.

TL;DR: Autoregressive spectral analysis of the electrocardiogram (EKG) interbeat interval sequence was used to characterize stress-related changes in heart rate variability during sleep in 59 healthy men and women to represent one pathway to disturbed sleep.
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Human regional cerebral glucose metabolism during non-rapid eye movement sleep in relation to waking

TL;DR: The relative increases in glucose utilization in the basal forebrain, hypothalamus, ventral striatum, amygdala, hippocampus and pontine reticular formation are new observations that are in accordance with the view that NREM sleep is important to brain plasticity in homeostatic regulation and mnemonic processing.
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SLEX Analysis of Multivariate Nonstationary Time Series

TL;DR: The proposed SLEX analysis gives results that are easy to interpret, because it is an automatic time-dependent generalization of the classical Fourier analysis of stationary time series and hence is able to provide a systematic framework for extracting spectral features from a massive dataset.
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Prevalence of obesity and weight change during treatment in patients with bipolar I disorder.

TL;DR: The high prevalence of obesity in subjects with bipolar disorder emphasizes the need for specific treatment strategies and programs for weight control for these individuals.
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Automatic statistical analysis of bivariate nonstationary time series

TL;DR: In this article, a smoothed localized complex exponential (SLEX) transform is proposed to segment the time series into approximately stationary blocks and select the span to be used to obtain the smoothed estimates of the time-varying spectra and coherence.