Key result
A novel second-order autoregressive model reproduced normalized central blood pressure from radial photoplethysmogram with a mean fitness of 85.2% and a low coefficient of variation of 3.35%.
Why the study?
Can a second-order autoregressive model reliably estimate normalized central blood pressure from radial photoplethysmogram?
Can a second-order autoregressive model reliably estimate normalized central blood pressure from radial photoplethysmogram?
A novel autoregressive model can reliably estimate normalized central blood pressure waveforms from radial photoplethysmogram, offering a potential non-invasive monitoring tool.
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May support non-invasive central BP monitoring tools; leaves open prospective validation in clinical cohorts.
Zahedi et al. (2015) studied this question. Second-order autoregressive model for radial photoplethysmogram (PPG) vs. Applanation tonometer was evaluated on Model fitness for reproducing normalized central blood pressure (CBPN). A novel second-order autoregressive model reproduced normalized central blood pressure from radial photoplethysmogram with a mean fitness of 85.2% and a low coefficient of variation of 3.35%.
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