Classification of Mean Arterial Pressure Regimes in ICU Using a Model-Based Support Vector Machine: Acute Hypotensive, Critical and Survival Episodes

In this study, a new pattern discrimination method for the classi cation of Mean Arterial Pressure (MAP) regimes in ICU via an appropriately regulated Radial Basis Function (RBF) Support Vector Machine (SVM) is described. The aim of this classi cation is to detect hazardous cardiogenic shock situations to prevent probable fatal failure of organs. To this end, rst, electrocardiogram (ECG) and Blood Pressure (BP) waveforms are processed via a Modi ed Hilbert Transform (MHT), and QRS complexes (equivalently obtaining heart rate-HR trend) and pressure pulses (equivalently obtaining trends of systolic, diastolic and mean arterial pressures) are detected, respectively. In the next step, a RBFSVM classi er is tuned using features obtained from the cardiogenic shock risk scoring model developed by Hasdai et al. (2000) to classify MAP regimes into three categories