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Report

Teaser, summary, work performed and final results

Periodic Reporting for period 2 - WISH (WISH â€“ Wearable Integrated System for Early Detection of Preterm Labour)

Teaser

Summary

Over 15 million babies are born preterm each year, and over 1 million children die each year due to complications of preterm birth (PTB), thus constituting the leading cause of neonatal mortality. Preterm birth is a global health problem with significant social and economic impact and within one of the priority areas in the health policies of the EU, as is women and children health. The WISH project aims at reducing the economical and psychological burden of PTB by offering a complete, technology-enabled and clinically validated solution to predict and detect labor.

Work performed

The first year of the project has been dedicated to finalizing the technology development of the WISH solution, and to a first clinical study to demonstrate its accuracy in detecting labor. In particular:
1) We have successfully developed a new miniaturized wearable electronics and a new patch tailored to labor detection;
2) We have developed the algorithms and the machine learning model to automatically detect labor based on physiological recording;
3) We have collected our physiome dataset composed of longitudinal physiological recordings collected during the last 10 weeks of pregnancy. We have included 145 pregnant women in the study, and have analyzed the data from the first 50 who have had their baby.

The second year of the project has been dedicated to completing the collection and analysis of the physiome dataset from the first WISH clinical study, to developing the WISH mobile app and cloud-based back-end, and in integrating all components of the WISH solution.
From the beginning of the project, we achieved the following:
1) We have successfully developed a new miniaturized wearable electronics and a new patch tailored to labor detection;
2) We have collected our physiome dataset composed of longitudinal physiological recordings collected during the last 10 weeks of pregnancy on 125 women;
3) Using the physiome dataset, we have developed and validated the algorithms and machine learning model to automatically detect labor based on physiological recordings, and we have embedded the algorithms in our sensor;
4) We have developed a mobile app that women can use to visualize the data they collect with the WISH sensor and patch, and to get feedback on their progress towards labor;
5) We have developed a cloud-based back-end to securely store user data and information;
6) We have integrated all components of the WISH solution in a first release of the product ready to be tested by our end-users.

We have taken multiple actions to provide visibility to the project. We have created and regularly updated the WISH website with news and updates on the project. We have published early project results in technical publication (International EMBS conference), and presented our results at the World Congress on Maternal, Fetal and Neonatal Medicine in London. Finally, we have participated in high profile events, both at the European (Supernova, Ideas from Europe, VivaTech) and National (MedTech Meetup, ITF Conference) level, creating high exposure for the WISH project.

The results are very promising, and the project is well on track to achieve its objectives.

Final results

With the WISH project, weâ€™re breaking new grounds in prenatal health. At the end of the project, the goal is to have, for the first time ever, a way for pregnant women to detect labor from home. This has the potential to radically change how prenatal care is provided today and we will work closely with healthcare providers and payers in European countries to continue validating our approach and evaluating its impact on improving maternal and neonatal outcomes. There are 15 million babies born preterm every year throughout the world, with dramatic emotional and financial consequences. Through the WISH project, we aim to reduce the emotional and financial burden associated to preterm birth, and to improve neonatal outcomes.