Please use this identifier to cite or link to this item: https://doi.org/10.3389/fphys.2020.00168
Title: Multimodal Monitoring of Cardiovascular Responses to Postural Changes
Authors: Mol, Arjen
Maier, Andrea B 
van Wezel, Richard JA
Meskers, Carel GM
Keywords: Science & Technology
Life Sciences & Biomedicine
Physiology
baroreceptor reflex
cerebral autoregulation
electrocardiography
near-infrared spectroscopy
orthostatic hypotension
BLOOD-PRESSURE DROP
DYNAMIC CEREBRAL AUTOREGULATION
STATIC HANDGRIP EXERCISE
ORTHOSTATIC HYPOTENSION
BAROREFLEX SENSITIVITY
TISSUE OXYGENATION
HEART-RATE
SYMPATHETIC OUTFLOW
ARTERIAL-PRESSURE
OLDER-ADULTS
Issue Date: 3-Mar-2020
Publisher: FRONTIERS MEDIA SA
Citation: Mol, Arjen, Maier, Andrea B, van Wezel, Richard JA, Meskers, Carel GM (2020-03-03). Multimodal Monitoring of Cardiovascular Responses to Postural Changes. FRONTIERS IN PHYSIOLOGY 11. ScholarBank@NUS Repository. https://doi.org/10.3389/fphys.2020.00168
Abstract: Background: In the poorly understood relationship between orthostatic hypotension and falls, next to blood pressure (BP), baroreflex sensitivity (BRS) and cerebral autoregulation (CAR) may be key measures. The posture- and movement dependency of orthostatic hypotension requires continuous and unobtrusive monitoring. This may be possible using simultaneous photoplethysmography (PPG), electrocardiography (ECG), and near-infrared spectroscopy (NIRS) signal recordings, from which pulse wave velocity (PWV; potentially useful for BP estimation), BRS and CAR can be derived. The PPG, NIRS and PWV signal correlation with BP and BRS/CAR reliability and validity need to be addressed. Methods: In 34 healthy adults (mean age 25 years, inter quartile range 22–45; 10 female), wrist and finger PPG, ECG, bifrontal NIRS (oxygenated and deoxygenated hemoglobin) and continuous BP were recorded during sit to stand and supine to stand movements. Sixteen participants performed slow and rapid supine to stand movements; eighteen other participants performed a 1-min squat movement. Pulse wave velocity (PWV) was defined as the inverse of the ECG R-peak to PPG pulse delay; PPG, NIRS and PWV signal correlation with BP as their Pearson correlations with mean arterial pressure (MAP) within 30 s after the postural changes; BRS as inter beat interval drop divided by systolic BP (SBP) drop during the postural changes; CAR as oxygenated hemoglobin drop divided by MAP drop. BRS and CAR were separately computed using measured and estimated (linear regression) BP. BRS/CAR reliability was defined by the intra class correlation between repeats of the same postural change; validity as the Pearson correlation between BRS/CAR values based on measured and estimated BP. Results: The highest correlation with MAP was found for finger PPG and oxygenated hemoglobin, ranging from 0.75–0.79 (sit to stand), 0.66–0.88 (supine to stand), and 0.82–0.94 (1-min squat). BRS and CAR reliability was highest during the different supine to stand movements, ranging from 0.17 – 0.49 (BRS) and 0.42-0.75 (CAR); validity was highest during rapid supine to stand movements, 0.54 and 0.79 respectively. Conclusion: PPG-ECG-NIRS recordings showed high correlation with BP and enabled computation of reliable and valid BRS and CAR estimates, suggesting their potential for continuous unobtrusive monitoring of orthostatic hypotension key measures.
Source Title: FRONTIERS IN PHYSIOLOGY
URI: https://scholarbank.nus.edu.sg/handle/10635/234931
ISSN: 1664-042X
DOI: 10.3389/fphys.2020.00168
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