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Hypotension Prediction Arterial Blood Pressure Variability

Hypotension is the formal medical term for low blood pressure. A review of the literature suggests the very strong coherence between heart rate and blood pressure. A sudden episode of hypotension can lead to serious brain injuries and damage. In the case of the sepsis patients our research focused on, the episodes lead in some cases to death. This paper describes the parametric and nonparametric methods used to analyze and characterize Arterial Blood Pressure (ABP) prior to hypotension episodes. The analysis of ABP variability and shape, have shown the potential of predicting hypotension. Our study focused on data sets provided by the Complex Systems Lab at Doernbecher’s Children’s Hospital (OHSU). Twenty eight (28) ABP drop episodes were carefully chosen and analysed from five (5) different sepsis patients. We were interested in the variability of the frequency content and the shape of the signals prior to hypotension episodes.The local analysis of the signal has shown that significant change occur in the shape of ABP prior to hypotension. Keywords—Autocorrelation Function, Kernel Density Estimator