Results 41 to 50 of about 25,096 (221)
BackgroundAccurately and unobtrusively testing the effects of snoring and sleep interventions at home has become possible with recent advances in digital measurement technologies.
Sharon Danoff-Burg+3 more
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Aims/Introduction To investigate the correlation between snoring and chronic kidney disease (CKD), and explore whether metabolic syndrome (MetS) plays an important role in this relationship among middle‐aged and elderly Chinese. Materials and Methods The
Jun Song+8 more
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Snoring in primary school children and domestic environment: A Perth school based study
Background The home is the predominant environment for exposure to many environmental irritants such as air pollutants and allergens. Exposure to common indoor irritants including volatile organic compounds, formaldehyde and nitrogen dioxide, may ...
Lee Andy H+4 more
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Snoring affects 57 % of men, 40 % of women, and 27 % of children in the USA. Besides, snoring is highly correlated with obstructive sleep apnoea (OSA), which is characterised by loud and frequent snoring.
Jingtan Li+9 more
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Background We hypothesized that sympathetic nervous system activity (SNSA) is increased and parasympathetic nervous system activity (PNSA) is decreased during non-rapid eye movement (NREM) sleep in non-apneic, otherwise healthy, snoring individuals ...
Mateika Jason H+2 more
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Improving snore detection under limited dataset through harmonic/percussive source separation and convolutional neural networks [PDF]
Snoring, an acoustic biomarker commonly observed in individuals with Obstructive Sleep Apnoea Syndrome (OSAS), holds significant potential for diagnosing and monitoring this recognized clinical disorder. Irrespective of snoring types, most snoring instances exhibit identifiable harmonic patterns manifested through distinctive energy distributions over ...
arxiv +1 more source
A new portable device for the snore/non-snore classification [PDF]
Snoring is widely known as a disease. The aim of this paper is to introduce and validate our newly developed snoring detection device to identify automatically snore and non-snore sounds using a nonlinear analysis technique. The developed device can analyze chaotic features of a snore related sounds such as entropy, Largest Lyapunov Exponents (LLEs ...
Ankishan, Haydar, Tuncer, A. Turgut
openaire +2 more sources
Effect of aging in snoring prevalence
Objectives:To determine the effect of aging in snoring prevalence. Cross-sectional epidemiological study.Methods:Three different districts of Denizli, Turkey were randomly chosen to constitute the study group.
Cüneyt Orhan Kara+4 more
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Early life environment and snoring in adulthood
Background To our knowledge, no studies of the possible association of early life environment with snoring in adulthood have been published. We aimed to investigate whether early life environment is associated with snoring later in life.
Franklin Karl A+11 more
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On the Need of Removing Last Releases of Data When Using or Validating Defect Prediction Models [PDF]
To develop and train defect prediction models, researchers rely on datasets in which a defect is attributed to an artifact, e.g., a class of a given release. However, the creation of such datasets is far from being perfect. It can happen that a defect is discovered several releases after its introduction: this phenomenon has been called "dormant ...
arxiv