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December 1, 2007IEEE Transactions on Biomedical Engineering

Predicting Arterial Stiffness From the Digital Volume Pulse Waveform

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Why the study?

Does support vector machine-based analysis of the digital volume pulse waveform accurately predict arterial stiffness in clinic patients?

Population

461 subjects attending a clinic in South East London

Comparison

Estimation of pulse wave velocity from the… vs Multilinear regression

Design

Cross-sectional

Authors

SAStephen R. AltyRoyal Holloway University of LondonNAN. Angarita-JaimesUniversity of WarwickSMSandrine MillasseauPreventive Cardiology

Discussion

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Implication

May support simple arterial stiffness screening; leaves open prospective validation for clinical use.

Structured PICO

Does support vector machine-based analysis of the digital volume pulse waveform accurately predict arterial stiffness in clinic patients?

P
Population
461 subjects attending a clinic in South East London
I
Intervention
Estimation of pulse wave velocity (PWV) from the digital volume pulse (DVP) waveform using support vector machine (SVM) classification and support vector regression (SVR)
C
Comparator
Multilinear regression (for the real-valued estimation of PWV)
O
Outcome
Prediction of arterial stiffness (measured by aortic pulse wave velocity, with a threshold of 10 m/s for high vs. low stiffness)surrogate

Support vector machine-based analysis of the digital volume pulse provides an effective, simple, and potentially cheap method for estimating arterial stiffness for cardiovascular disease screening.

Cite This Study

Alty et al. (2007) studied this question.

synapsesocial.com/papers/69d56dfe75589c71d767d289https://doi.org/10.1109/tbme.2007.897805

Topics

Women and heart disease
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