Pulse arrival time (PAT)-based models demonstrated greater accuracy than pulse transit time (PTT)-based models for tracking blood pressure variations across multiple interventions.
Does PAT-based modeling improve cuff-less blood pressure estimation accuracy compared to PTT-based modeling?
PAT-based models may provide more accurate cuff-less blood pressure estimation than PTT-based models, suggesting that including the pre-ejection period is beneficial.
Pulse transit time (PTT) has shown a correlation with blood pressure (BP), and it is considered as a potential marker for cuff-less BP estimation. However, pulse arrival time (PAT) including pre-ejection period (PEP) has been utilized more widely because of its convenience to acquisition and calculation. In spite of this, whether PAT can surrogate PTT has been a controversial topic for many years. In this study, we designed an experiment on 55 subjects with multiple interventions, those may cause the changes in BP and PEP. We analyzed the linear and nonlinear correlations between BP and PTT/PAT, and also assessed the performances of PTT-based and PAT-based models on tracking the BP variation. Five typical BP estimation models were used for comparison. We found that PEP could change rapidly in response to the interventions related with physical stress. Although PTT had a better linear correlation with BP, most of the PAT-based models showed more accuracy than PTT-based models in all of the interventions, especially for the calibrated models. It is suggested that PAT has the potential to predict BP, and the inclusion of PEP in the measurement of PAT is necessary.
Xie et al. (Mon,) conducted a other in Blood pressure estimation (n=55). Pulse arrival time (PAT)-based models vs. Pulse transit time (PTT)-based models was evaluated on Accuracy of tracking blood pressure variation. Pulse arrival time (PAT)-based models demonstrated greater accuracy than pulse transit time (PTT)-based models for tracking blood pressure variations across multiple interventions.
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