Smoothing Before Estimating Uncertainty, Scaling, and Intermittency: Application to Short Heart Rate Signals

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dc.creatorBickel, David R.
dc.date2003-01-24
dc.date.accessioned2026-07-07T04:54:41Z
dc.date.available2026-07-07T04:54:41Z
dc.descriptionThree aspects of time series are uncertainty (dispersion at a given time scale), scaling (time-scale dependence), and intermittency (inclination to change dynamics). Simple measures of dispersion are the mean absolute deviation and the standard deviation; scaling exponents describe how dispersions change with the time scale. Intermittency has been defined as a difference between two scaling exponents. After taking a moving average, these measures give descriptive information, even for short heart rate records. For this data, dispersion and intermittency perform better than scaling exponents.
dc.descriptionTo appear in Fractals
dc.identifierhttps://arxiv.org/abs/math/0301292
dc.identifierhttp://arxiv.org/abs/math/0301292
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/66351
dc.subjectProbability
dc.titleSmoothing Before Estimating Uncertainty, Scaling, and Intermittency: Application to Short Heart Rate Signals
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