“Family-centered care innovations for the first 1000 days of life”
The first 1000 days of life start with conception and are followed by the prenatal(pregnancy), delivery (child-birth), and neonatal (newborn) phases. All phases are very different in nature and yield important needs and opportunities for technology-based innovation. In the unique collaboration between hospital, university and industry, e/MTIC focuses on non-invasive monitoring techniques and on educational simulators. These focal points are intertwined via common work on physiological models. They match naturally to the available expertise of the partners and to several important wheels that are already in motion. Last but not least, they foreshadow an important innovation potential, scientifically, clinically, and commercially. All projects contribute to our family-centered care innovation vision.
o Pregnancy monitoring:
Pregnancy and delivery are risky phases in the life of mother and child. Key health risks include premature delivery and poor placenta function, which are both potentially lethal to the fetus or can lead to life-long disabilities. Current monitoring techniques leave much to be desired: they frequently fail to detect critical risks yet also lead to many unnecesary interventions. Moreover they are only sparsely available (20-week echo, antenatal visits, delivery) so that risks that develop in between are likely to go undetected. Our aim is to a) strongly improve the dependability of pregnancy monitoring (especially Doppler ultrasound), and b) to make a step towards continuous monitoring (by analyzing electrical signals recording on the maternal abdomen).
o Neonatal monitoring & simulation:
The Neonatal Monitoring & Simulation program line develops new techniques for safe and quiet care of the newborn, facilitating family-centered care and mother-child bonding, in order to improve patient outcome. We focus on the development of new parameters and on unobtrusive measurement ways of these parameters. Moreover, we investigate techniques for predictive monitoring using big data. To investigate the effects of clinical interventions on neonatal outcome, we develop simulation (mathematical and physical) models. The models are primarily used for the formulation of hypotheses, that are then tested in a clinical setting.
o Family health:
In the Parents & Kids program line we investigate the perinatal period. Being pregnant, delivery and neonatal care are not separate events, they are part of continuum of professional-care and self-care that starts with the desire to have a child to bringing the child up, and supporting the best development possible. We aim for a holistic solution, where services are accessible and relevant for professionals, parents, the child and his family in different contexts and time. We investigate and design product-service systems, and address the complexity, growth and openness of these systems. Special attention is paid to ensure meaningful experiences in this domain for the different end-users.
|PhD||Phebe Berben||Implementation of intrapartum non-invasive electrophysiological monitoring at the labour ward: a randomised controlled trial|
|PhD||Maretha Bester||Medtech solutions for Earlier DetectIon of CArdIovascular Disease - Early detection of preeclampsia|
|PhD||Juliete van Haren||Development of a manikin and clinical transfer tools and procedures for PLS|
|PhD||Chenyan Huang||Maternity dashboard|
|PhD||Nadine de Klerk||Continuous electrophysiological CTG monitoring at the obstetric high care: a randomised controlled trial|
|PhD||Thomas Nichting||Medtech solutions for Earlier DetectIon of CArdIovascular Disease - Early detection of preeclampsia|
|PhD||Zheng Peng||Advanced NICU sensing (Neonatal motion applications)|
|PhD||Gabriele Varisco||Alarm-Limiting AlgoRithm-based Monitoring|
|PD||Gabriele Varisco||Fetal movement for fetal well-being detection|
|PhD||Chantelle de Vet||Improving care of vulnerable women by early risk identification during pregnancy|
|PhD||Ivar de Vries||Preclinical feasibility of advanced electrophysiological monitoring for early prediction and detection of perinatal complications|
|PhD||Pascalle Wijntjes||Risk stratification in early pregnancy|
|PhD||Bettine van Willigen||Development of a digital twin for PLS|
|PD||Daisy van der Woude||Improving care of vulnerable women by early risk identification during pregnancy|
|PhD||Yanqi Wu||Unobtrusive pregnancy sleep and fetal monitoring for early risk prediction (in short, pregnancy sleep for early risk prediction)|
|PhD||Sue Yoon||Improving care of vulnerable women by early risk identification during pregnancy|
|PhD||Yijing Zhang||Enabling Widespread Ambulatory Monitoring for improved pregnancy outcome|