Key result
A direct radial-to-aortic autoregressive exogenous average transfer function accurately estimated aortic systolic pressure (error 0.4 +/- 2.9 mmHg), outperforming Fourier-based methods.
Why the study?
Does a direct radial-to-aortic ARX model transfer function improve the accuracy of noninvasive aortic pressure estimation compared to prior approaches in patients undergoing radial tonometry?
Observational (n=39)
Does a direct radial-to-aortic ARX model transfer function improve the accuracy of noninvasive aortic pressure estimation compared to prior approaches in patients undergoing radial tonometry?
An ARX average transfer function accurately estimates central aortic pressure waveform parameters from noninvasive radial pulse tracings, outperforming previous techniques.
No takes yet. Share an insight, caveat, or question.
Should not yet change radial tonometry practice; extends Fourier methods but leaves open clinical outcome validation.
Fetics et al. (1999) reported an observational. Direct radial-to-aortic autoregressive exogenous (ARX) model transfer function vs. Fourier transform and inverted aortic-to-radial model transfer functions was evaluated on Aortic systolic pressure estimation error and root mean squared error of aortic pressure waveform reproduction. A direct radial-to-aortic autoregressive exogenous average transfer function accurately estimated aortic systolic pressure (error 0.4 +/- 2.9 mmHg), outperforming Fourier-based methods.
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