ABSTRACT
This chapter shows that the celebrated theory of Poincare recurrences with extreme value statistics, one can devise an efficient algorithm to measure the range of expected fluctuations of systolic and diastolic arterial pressures. It provides an overview on the method and describes the link between recurrences of blood pressure values and rare events. The chapter presents the multiparameter intelligent monitoring in intensive care database and describe some general properties of the blood pressure time series. It describes the data analysis and the definition of an index that directly measure the probability of observing the likelihood for recurrences of pressure values. In the ambit of cardiovascular disease, blood pressure fluctuations may trigger acute hypotensive episodes and, in some cases, cardiac crisis. However, blood pressure data have internal correlations originating from the quasiperiodic biological processes responsible for blood circulation. The chapter also provides a method for the detection of recurrences of pressure values.
