The impact of healthy pregnancy on features of heart rate variability and pulse wave morphology derived from wrist-worn photoplethysmography

被引：1

作者：

Bester, M. ^{[1
,2
]}

Escorcia, M. J. Almario ^{[2
,3
]}

Fonseca, P. ^{[2
]}

Mollura, M. ^{[3
]}

van Gilst, M. M. ^{[1
,4
]}

Barbieri, R. ^{[3
]}

Mischi, M. ^{[1
]}

van Laar, J. O. E. H. ^{[1
,5
]}

Vullings, R. ^{[1
]}

Joshi, R. ^{[2
]}

机构：

[1] Eindhoven Univ Technol, Dept Elect Engn, NL-5612 AZ Eindhoven, Netherlands

[2] Philips Res, Patient Care & Monitoring, NL-5656 AE Eindhoven, Netherlands

[3] Politecn Milan, Dept Elect Informat & Bioengn, I-20133 Milan, MI, Italy

[4] Sleep Med Ctr Kempenhaeghe, NL-5591 VE Heeze, Netherlands

[5] Maxima Med Centrum, Dept Obstet & Gynecol, De Run 4600, NL-5504 DB Veldhoven, Netherlands

来源：

SCIENTIFIC REPORTS | 2023年 / 13卷 / 01期

关键词：

TIME-SERIES; PREDICTION;

D O I：

10.1038/s41598-023-47980-2

中图分类号：

O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

Due to the association between dysfunctional maternal autonomic regulation and pregnancy complications, tracking non-invasive features of autonomic regulation derived from wrist-worn photoplethysmography (PPG) measurements may allow for the early detection of deteriorations in maternal health. However, even though a plethora of these features-specifically, features describing heart rate variability (HRV) and the morphology of the PPG waveform (morphological features)-exist in the literature, it is unclear which of these may be valuable for tracking maternal health. As an initial step towards clarity, we compute comprehensive sets of HRV and morphological features from nighttime PPG measurements. From these, using logistic regression and stepwise forward feature elimination, we identify the features that best differentiate healthy pregnant women from non-pregnant women, since these likely capture physiological adaptations necessary for sustaining healthy pregnancy. Overall, morphological features were more valuable for discriminating between pregnant and non-pregnant women than HRV features (area under the receiver operating characteristics curve of 0.825 and 0.74, respectively), with the systolic pulse wave deterioration being the most valuable single feature, followed by mean heart rate (HR). Additionally, we stratified the analysis by sleep stages and found that using features calculated only from periods of deep sleep enhanced the differences between the two groups. In conclusion, we postulate that in addition to HRV features, morphological features may also be useful in tracking maternal health and suggest specific features to be included in future research concerning maternal health.

引用

页数：14