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Biometrics of complete human pregnancy recorded by wearable devices
npj Digital Medicine ( IF 12.4 ) Pub Date : 2024-08-12 , DOI: 10.1038/s41746-024-01183-9
Lauryn Keeler Bruce 1, 2 , Dalila González 3 , Subhasis Dasgupta 4 , Benjamin L Smarr 3, 5
Affiliation  

In the United States, normal-risk pregnancies are monitored with the recommended average of 14 prenatal visits. Check-ins every few weeks are the standard of care. This low time resolution and reliance on subjective feedback instead of direct physiological measurement, could be augmented by remote monitoring. To date, continuous physiological measurements have not been characterized across all of pregnancy, so there is little basis of comparison to support the development of the specific monitoring capabilities. Wearables have been shown to enable the detection and prediction of acute illness, often faster than subjective symptom reporting. Wearables have also been used for years to monitor chronic conditions, such as continuous glucose monitors. Here we perform a retrospective analysis on multimodal wearable device data (Oura Ring) generated across pregnancy within 120 individuals. These data reveal clear trajectories of pregnancy from cycling to conception through postpartum recovery. We assessed individuals in whom pregnancy did not progress past the first trimester, and found associated deviations, corroborating that continuous monitoring adds new information that could support decision-making even in the early stages of pregnancy. By contrast, we did not find significant deviations between full-term pregnancies of people younger than 35 and of people with “advanced maternal age”, suggesting that analysis of continuous data within individuals can augment risk assessment beyond standard population comparisons. Our findings demonstrate that low-cost, high-resolution monitoring at all stages of pregnancy in real-world settings is feasible and that many studies into specific demographics, risks, etc., could be carried out using this newer technology.



中文翻译:


可穿戴设备记录的完整人类妊娠的生物识别



在美国,建议平均进行 14 次产前检查来监测正常风险妊娠。每隔几周检查一次是护理标准。这种低时间分辨率和对主观反馈而不是直接生理测量的依赖可以通过远程监控来增强。迄今为止,连续的生理测量尚未在整个怀孕期间进行表征,因此几乎没有比较基础来支持特定监测能力的发展。可穿戴设备已被证明能够检测和预测急性疾病,通常比主观症状报告更快。可穿戴设备多年来也被用于监测慢性病,例如连续血糖监测仪。在这里,我们对 120 名个体在怀孕期间生成的多模式可穿戴设备数据 (Oura Ring) 进行回顾性分析。这些数据揭示了从周期到受孕再到产后恢复的清晰妊娠轨迹。我们评估了妊娠早期未进展的个体,并发现了相关偏差,证实持续监测增加了新信息,即使在怀孕早期也可以支持决策。相比之下,我们没有发现 35 岁以下人群和“高龄产妇”的足月妊娠之间存在显着差异,这表明对个体内连续数据的分析可以增强风险评估,超越标准人群比较。我们的研究结果表明,在现实环境中对怀孕各个阶段进行低成本、高分辨率监测是可行的,并且可以使用这种新技术进行针对特定人口统计、风险等的许多研究。

更新日期:2024-08-12
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