Publications by authors named "Susan Surovec"

Professional sleep societies have identified a need for strategic research in multiple areas that may benefit from access to and aggregation of large, multidimensional datasets. Technological advances provide opportunities to extract and analyze physiological signals and other biomedical information from datasets of unprecedented size, heterogeneity, and complexity. The National Institutes of Health has implemented a Big Data to Knowledge (BD2K) initiative that aims to develop and disseminate state of the art big data access tools and analytical methods.

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Study Objectives: The AASM has recommended specific sensors in measuring apnea and hypopnea based on published reliability and validity data. As new technology emerges, these guidelines will need revision. Polyvinylidene fluoride (PVDF) measures impedance and can be incorporated into a belt to approximate airflow and respiratory effort.

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The goal of this study was to test the hypothesis that spectral indices of heart rate variability, such as high-frequency power (HFP), low-to-high frequency power (LHR), and their respiration-adjusted counterparts (HFPra, LHRra) are correlated with severity of sleep-disordered breathing (SDB), as quantified by the respiratory disturbance index (RDI). A total of 436 subjects, non-smoking, normotensive, and free of cardiovascular disease and diabetes were selected from the Sleep Heart Health Study (SHHS). Of these, 288 records with sufficiently high quality electrocardiogram signals were selected for further analysis [males/females: 221/67; age: 46.

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Study Objectives: Total sleep time (TST), sleep efficiency (SE), and wake after sleep onset (WASO) as assessed by actigraphy gathered in 3 different modes were compared to polysomnography (PSG) measurements. Each mode was compared to PSG to determine which was more accurate. Associations of the difference in TST measurement with demographics and sleep characteristics were examined.

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Study Objectives: Periodic limb movements of sleep (PLMS) are common in the elderly. However, no large polysomnographic study has closely examined the relationship of PLMS to sleep architecture and arousals from sleep. We investigated the prevalence and correlates of PLMS in a community-based sample of older women.

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Objectives: To evaluate the extent to which sleep-disordered breathing (SDB) varies with putative demographic and medical risk factors and to estimate the prevalence of undiagnosed SDB.

Study Design: Prospective, cross-sectional study in a population-based cohort of 850 children (41% black, 46% preterm), 8 to 11 years of age. Participants' caretakers completed questionnaires about health and sleep.

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Study Objectives: To determine the effect of varying approaches to the measurement of the respiratory disturbance index (RDI) on identification of sleep disordered breathing (SDB) in children.

Design: Cross-sectional study of SDB in a well-characterized birth cohort (stratified for term and preterm birth) participating in longitudinal studies of cognition and behavior.

Setting: Community-based; overnight studies conducted in participant's homes.

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