Why the study?
Does photoplethysmography correlate with laser Doppler flowmetry for assessing microvascular low-frequency oscillations in healthy subjects?
Does photoplethysmography correlate with laser Doppler flowmetry for assessing microvascular low-frequency oscillations in healthy subjects?
Photoplethysmography shows strong correlation with laser Doppler flowmetry for specific physiological frequency bands, suggesting it could serve as a low-cost alternative for assessing endothelial activity.
PPG may support low-cost microvascular assessment in research; leaves open validation before clinical use.
Photoplethysmography (PPG) and laser Doppler flowmetry (LDF) are two recognized optical techniques that can track low-frequency perfusion changes in microcirculation. The aim of this study was to determine, in healthy subjects, the correlation between the techniques for specific low-frequency bands previously defined for microcirculation. Twelve healthy male subjects (age range 18 to 50 years) were studied, with PPG and LDF signals recorded for 20 min from their right and left index (PPG) and middle (LDF) fingers. Wavelet analysis comprised dividing the low-frequency integral wavelet spectrum (IWS) into five established physiological bands relating to cardiac, respiratory, myogenic, neurogenic, and endothelial activities. The correlation between PPG and LDF was quantified using wavelet correlation analysis and Spearman correlation analysis of the median IWS amplitude. The median wavelet correlation between signals (right-left side average) was 0.45 (cardiac), 0.49 (respiratory), 0.86 (myogenic), 0.91 (neurogenic), and 0.91 (endothelial). The correlation of IWS amplitude values (right-left side average) was statistically significant for the cardiac (ρ = 0.64, p < 0.05) and endothelial (ρ = 0.62, p < 0.05) bands. This pilot study has shown good correlation between PPG and LDF for specific physiological frequency bands. In particular, the results suggest that PPG has the potential to be a low-cost replacement for LDF for endothelial activity assessments.
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Мизева et al. (2015) studied this question.
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