The Effect of Signal Quality on Six Cardiac Output Estimators
Author(s)Mark, Roger Greenwood; Clifford, Gari D.; Chen, Tiffany A.
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The effect of signal quality on the accuracy of cardiac output (CO) estimation from arterial blood pressure (ABP) was evaluated using data from the MIMIC II database. Thermodilution CO (TCO) was the gold standard. A total of 121 records with 1,497 TCO measurements were used. Six lumped-parameter and systolic area CO estimators were tested, using ABP features and a robust heart rate (HR) estimate. Signal quality indices for ABP and HR were calculated using previously described metrics. For retrospective analysis, results showed that the Liljestrand method yielded the lowest error for all levels of signal quality. Increasing signal quality decreased error and only marginally reduced the amount of available data, as a signal quality level of 90% preserved sufficient data for almost continuous CO estimation. At the recommended signal quality thresholds, the lowest gross root mean square normalized error (RMSNE) was found to be 15.4% (or 0.74 L/min) and average RMSNE was 13.7% (0.71 L/min).
DepartmentHarvard University--MIT Division of Health Sciences and Technology
Computers in Cardiology
Institute of Electrical and Electronics Engineers
Chen, T., G.D. Clifford, and R.G. Mark. “The effect of signal quality on six cardiac output estimators.” Computers in Cardiology, 2009. 2009. 197-200. © 2010 Institute of Electrical and Electronics Engineers.
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