Scientists have found a cheap and easy way of
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a condition from recordings of people sleeping. Severe snoring is the sound of a sleeper fighting for
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. Lots of people snore, but the loud and
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snoring caused by a condition known as
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sleep apnea, OSA, can leave a sufferer
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and fuddled during the day.
OSA is costly and
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to diagnose, and it"s difficult to distinguish genuine OSA from
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snoring. But a team in Brazil has a simpler solution: they have found a way of analyzing snore recordings that is able not only to
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OSA but can distinguish between mild and
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cases.
Diagnosing OSA from snore sounds is not a new idea. The question is how the clinical condition is revealed by the
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. In 2008, a team in Turkey showed that the statistical
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of snores has the
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to discriminate ordinary sleepers from OSA
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.
Scientists looked for
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patterns in OSA and the snore
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can be used as a pretty reliable
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for the AHI (the apnea-hypopnea index). And "snore
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" is measured by a Hurst exponent, which reveals
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patterns in a series of events. An
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computer analysis of the snore series could "learn" to use the Hurst exponent to distinguish
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from severe cases of OSA, making the correct diagnosis for 16 of 17 patients.