Continuous cardiac output determination from blood pressure waveforms using a fuzzy logic model

Describes the development of an adaptive fuzzy logic system that continuously estimates cardiac output (CO) from the blood pressure waveform. This fuzzy logic system was evaluated using 133 sets of experimental data from 10 baboons. The mean error (or bias) between the model-estimated CO and the thermodilution-measured CO was 0.001 liter/min (4.0%) with a standard deviation (or precision) of 0.97 liter/min (27.7%) when using the aortic blood pressure waveform. The mean error (or bias) was 0.045 liter/min (5.9%) with a standard deviation (or precision) of 0.97 liter/min (26.9%) when using the radial blood pressure waveform. These results demonstrate the significant potential of using a fuzzy logic model to estimate cardiac output from blood pressure waveforms.