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Enhancing the estimation of blood pressure using pulse arrival time and two confounding factors
Cited 39 time in
Web of Science
Cited 42 time in Scopus
- Authors
- Issue Date
- 2010-02
- Publisher
- IOP Publishing
- Citation
- Physiol. Meas. 31 (2010) 145–157
- Keywords
- BP ; PAT ; heart rate ; arterial stiffness ; multiple-regression analysis
- Abstract
- A new method of blood pressure (BP) estimation using multiple regression
with pulse arrival time (PAT) and two confounding factors was evaluated
in clinical and unconstrained monitoring situations. For the first analysis
with clinical data, electrocardiogram (ECG), photoplethysmogram (PPG) and
invasive BP signals were obtained by a conventional patient monitoring device
during surgery. In the second analysis, ECG, PPG and non-invasive BP were
measured using systems developed to obtain data under conditions in which
the subject was not constrained. To enhance the performance of BP estimation
methods, heart rate (HR) and arterial stiffness were considered as confounding
factors in regression analysis. The PAT and HR were easily extracted from
ECG and PPG signals. For arterial stiffness, the duration from the maximum
derivative point to the maximum of the dicrotic notch in the PPG signal, a
parameter called TDB, was employed. In two experiments that normally cause
BP variation, the correlation between measured BP and the estimated BP was
investigated. Multiple-regression analysis with the two confounding factors
improved correlation coefficients for diastolic blood pressure and systolic blood
pressure to acceptable confidence levels, compared to existing methods that
consider PAT only. In addition, reproducibility for the proposed method was
determined using constructed test sets. Our results demonstrate that noninvasive,
non-intrusive BP estimation can be obtained using methods that can
be applied in both clinical and daily healthcare situations.
- ISSN
- 0967-3334
- Language
- English
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