Key result
Contour-line-based PPG analysis estimates CAVI-based vascular age with ~20% less error than conventional methods.
Why the study?
Health management using mobile devices with reflective PPG sensors requires accurate estimation methods for vascular age from PPG waveforms.
Does the proposed PPG waveform feature extraction method improve the estimation accuracy of CAVI-based vascular age compared to the conventional height ratio method?
Cross-Sectional (n=57)
No
Does the proposed PPG waveform feature extraction method improve the estimation accuracy of CAVI-based vascular age compared to the conventional height ratio method?
Absolute Event Rate: 0.88% vs 0.8%
A novel method using PPG waveform features and partial least squares regression was developed to estimate CAVI-based vascular age via mobile devices.
May support mobile vascular age assessment; leaves open prospective validation before clinical adoption.
This paper proposes a method to estimate the vascular age from the reflected photoplethysmogram (PPG) waveform. Mobile devices such as smartphones are rapidly penetrating daily life, and health management using them is expected. This paper deals with a method of estimating the vascular age using a reflective PPG sensor attached to a mobile device. In the proposed method, contour lines are drawn on the PPG and the derivative PPG waveform, and features are extracted from them. Since many features are extracted, the influences of multicollinearity are concerned. Therefore, partial least squares regression which is not affected by multicollinearity was used as an estimation method. We compared the estimation accuracy with the conventional method using height ratio feature.
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Fujita et al. (2019) conducted a cross-sectional in Vascular age estimation (n=57). Contour-line-based PPG features with PLS regression vs. Peak height ratio PPG features with PLS regression was evaluated on Correlation coefficient (R) for CAVI estimation. The proposed method using contour-line-based PPG features and PLS regression estimated CAVI-based vascular age with higher accuracy (R=0.88, RMSE=10.09) than the conventional peak height ratio method (R=0.80, RMSE=12.56).
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