Journal of the American Medical Informatics Association : JAMIA
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J Am Med Inform Assoc · May 2006
A method for automatic identification of reliable heart rates calculated from ECG and PPG waveforms.
The development and application of data-driven decision-support systems for medical triage, diagnostics, and prognostics pose special requirements on physiologic data. In particular, that data are reliable in order to produce meaningful results. The authors describe a method that automatically estimates the reliability of reference heart rates (HRr) derived from electrocardiogram (ECG) waveforms and photoplethysmogram (PPG) waveforms recorded by vital-signs monitors. The reliability is quantitatively expressed through a quality index (QI) for each HRr. ⋯ This method provides a robust approach for automatically assessing the reliability of large quantities of heart rate data and the waveforms from which they are derived.