Why the study?
Does an artificial neural network provide a better model fit than a linear ARX model for describing the relationship between peripheral blood pressure and blood volume pulses?
Does an artificial neural network provide a better model fit than a linear ARX model for describing the relationship between peripheral blood pressure and blood volume pulses?
Artificial neural network techniques provide a better model fit than linear models for deriving physiological parameters of the peripheral circulation from blood pressure and volume pulse waveforms.
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Neural networks may refine tau estimation from peripheral waveforms; leaves open validation before research or clinical adoption.
Allen et al. (1999) studied this question.
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