Medicine and Health

Deep representation learning identifies associations between physical activity and sleep patterns during pregnancy and prematurity

N. G. Ravindra, C. Espinosa, et al.

Discover groundbreaking research on preterm birth (PTB) by Neal G. Ravindra and colleagues, utilizing innovative wearable device data and deep learning methodologies. This study reveals critical insights into how deviations in sleep and activity patterns during pregnancy are linked to PTB, offering promising strategies for intervention, especially in underserved regions.

00:00

Playback language: English

Related Publications

Explore these studies to deepen your understanding of the subject.

Medicine and Health

Unsupervised machine learning to investigate trajectory patterns of COVID-19 symptoms and physical activity measured via the MyHeart Counts App and smart devices

V. Gupta, S. Kariotis, et al.

Health and Fitness

Physical activity and sleep changes among children during the COVID-19 pandemic

K. Singh, S. C. Armstrong, et al.

Medicine and Health

The relationship between maternal dietary patterns during pregnancy in women with gestational diabetes mellitus and infant appetitive feeding behaviour at 6 months

E. Amissah, G. D. Gamble, et al.

Health and Fitness

The relationship between home-based physical activity and general well-being among Chinese university students during the COVID-19 pandemic: the mediation effect of self-esteem

M. Cao, Y. Teng, et al.

Listen, Learn & Level Up

Over 10,000 hours of research content in 25+ fields, available in 12+ languages.

No more digging through PDFs, just hit play and absorb the world's latest research in your language, on your time.

listen to research audio papers with researchbunny