Concept
Maternal health
Publications associées (34)
Learning Informative Health Indicators Through Unsupervised Contrastive Learning
Monitoring the health of complex industrial assets is crucial for safe and efficient operations. Health indicators that provide quantitative real-time insights into the health status of industrial assets over time serve as valuable tools for, e.g., fault d ...
Ieee-Inst Electrical Electronics Engineers Inc2024Design and in vitro Characterization of a Wearable Multisensing System for Hydration Monitoring
Sandro Carrara, Ali Meimandi, Ata Jedari Golparvar, Sarah Tonello
Dehydration is a frequent condition in the elderly and can lead to serious health complications if not compensated timely. Early diagnosis can be problematic, as medical examinations in the hospital would be needed. Fully wearable low-cost multisensing dev ...
Ieee-Inst Electrical Electronics Engineers Inc2024'connEcted caesarean section': creating a virtual link between MOthers and their infanTs to ImprOve maternal childbirth experieNce - study protocol for a PILOT trial (e-motion-pilot)
Sandra Maria Marcadent, David Desseauve, Karine Lepigeon, Fiona Corbaz
IntroductionOne-third of mothers rate their childbirth as traumatic. The prevalence of childbirth-related post-traumatic stress disorder (CB-PTSD) is 4.7%. Skin-to-skin contact is a protective factor against CB-PTSD. However, during a caesarean section (CS ...
BMJ PUBLISHING GROUP2023A Comparison of Residual-based Methods on Fault Detection
Olga Fink, Gaëtan Michel Frusque
An important initial step in fault detection for complex industrial systems is gaining an understanding of their health condition. Subsequently, continuous monitoring of this health condition becomes crucial to observe its evolution, track changes over tim ...
PHM Society2023Environmental determinants of access to shared sanitation in informal settlements: a cross-sectional study in Abidjan and Nairobi
Jérôme Chenal, Vitor Pessoa Colombo, Jürg Utzinger
Background Universal access to basic sanitation remains a global challenge, particularly in low- and middle-income countries. Efforts are underway to improve access to sanitation in informal settlements, often through shared facilities. However, access to ...
2023Multidisciplinary Investigation of the Gut-Brain Ecosystem in a Model of Alzheimer's Disease
The search for an understanding of the causal elements that lead to neurodegenerative diseases has motivated researchers for decades. Today, Alzheimer's disease is the most prevalent form of dementia and affects approximately fifty million people worldwide ...
EPFL2022Emerging Threats of Synthetic Biology and Biotechnology. Addressing Security and Resilience Issues
Synthetic biology is a field of biotechnology that is rapidly growing in various applications, such as in medicine, environmental sustainability, and energy production. However these technologies also have unforeseen risks and applications to humans and th ...
Springer2021Contactless Sleep Monitoring for Early Detection of Health Deteriorations in Community-Dwelling Older Adults: Exploratory Study
Daniel Gatica-Perez, Philipp Buluschek, Bruno Pais
Background: Population aging is posing multiple social and economic challenges to society. One such challenge is the social and economic burden related to increased health care expenditure caused by early institutionalizations. The use of modern pervasive ...
JMIR PUBLICATIONS, INC2021Closing down the shop: Optimal health and wealth dynamics near the end of life
Julien Hugonnier, Pascal St-Amour, Florian Pelgrin
Near the end of life, health declines, mortality risk increases, and curative care is replaced by uninsured long-term care, accelerating the fall in wealth. Whereas standard explanations emphasize inevitable aging processes, we propose a complementary clos ...
WILEY2020Recommender System for Responsive Engagement of Senior Adults in Daily Activities
Pearl Pu Faltings, Igor Kulev, Yuan Lu
Understanding and predicting how people change their behavior after an intervention from time series data is an important task for health recommender systems. This task is especially challenging when the time series data is frequently sampled. In this pape ...
SPRINGER INTERNATIONAL PUBLISHING AG2020