Physiological Measurement · 2006 · 121 citations · 36 references
Life SciencesNeurosciencePhysiologyBiomedical Signal ProcessingNeurophysiologyTime Series AnalysisBlood Pressure Signal AnalysisCerebral Blood FlowCerebral PhysiologyCerebrovascular PhysiologyHemodynamicsArterial Blood Pressure MeasurementAutonomic Failure AssessmentCerebral Autoregulation MonitoringLow-frequency OscillationsWavelet AnalysisWavelet Transform
Wavelet cross-correlation (WCC) is used to analyse the relationship between low-frequency oscillations in near-infrared spectroscopy (NIRS) measured cerebral oxyhaemoglobin (O(2)Hb) and mean arterial blood pressure (MAP) in patients suffering from autonomic failure and age-matched controls. Statistically significant differences are found in the wavelet scale of maximum cross-correlation upon posture change in patients, but not in controls. We propose that WCC analysis of the relationship between O(2)Hb and MAP provides a useful method of investigating the dynamics of cerebral autoregulation using the spontaneous low-frequency oscillations that are typically observed in both variables without having to make the assumption of stationarity of the time series. It is suggested that for a short-duration clinical test previous transfer-function-based approaches to analyse this relationship may suffer due to the inherent nonstationarity of low-frequency oscillations that are observed in the resting brain.
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Statistical Analysis of Circular Data.
Peter Sprent, N. I. Fischer · Journal of Applied Ecology · 1994 · 795 citations