Carlos Queipo

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This paper deals with the potential and limitations of using voice and speech processing to detect Obstructive Sleep Apnea (OSA). An extensive body of voice features has been extracted from patients who present various degrees of OSA as well as healthy controls. We analyze the utility of a reduced set of features for detecting OSA. We apply various feature(More)
INTRODUCTION AND OBJECTIVE There is a significant lack of scientific evidence on the role of SAHS in the elderly despite the increasing ageing of the population. The objective of the present study is to analyse the current healthcare situation in Spain on the diagnosis and treatment of sleep apnea in the population ≥65 years and its progress over the last(More)
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