Automated Patient-specific Data Interpretation In An Intelligent Cardiovascular Monitor

This paper presents an approach to automated, patient-specific data interpretation in an intelligent hemodynamic monitor. This approach uses an intelligent hemodynamic monitor prototype (DYNASCENE) which models hemodynamic derangements in discrete clinical phases or "scenes". By recording cardiac filling pressures in fluid overload andlor hypovolemia, a patient-specific range of normal filling pressures is obtained for future data interpretation. This clinically natural approach has been included as a process in the parallel-processor based system, DYNASCENE. Planned extensions of this approach to other hemodynamic parameters are described.