Opendata, web and dolomites

WISH SIGNED

WISH – Wearable Integrated System for Early Detection of Preterm Labour

Total Cost €

0

EC-Contrib. €

0

Partnership

0

Views

0

 WISH project word cloud

Explore the words cloud of the WISH project. It provides you a very rough idea of what is the project "WISH" about.

onset    probability    demonstrated    neonatal    15    pregnancies    births    74    sessions    machine    age    over    sensor    babies    situate    app    actions    anxiety    validated    clinically    academic    income    preventive    wish    women    levels    solution    children    ptb    easily    care    secure    seamlessly    signal    latest    web    countries    predict    shift    pathogenesis    reducing    die    psychological    mother    birth    uses    prenatal    potentially    indicators    daily    limited    award    version    constituting    home    physiological    breakthroughs    approximately    hospitals    detect    ing    extract    dashboard    expectant    mortality    patch    infant    efficient    reduce    complications    winning    mortalities    born    time    pilot    labor    wearable    automatically    electrode    healthcare    frost    integrates    rate    clinical    sullivan    million    cloud    builds    preterm    12    professionals    risk    occurs    economic    platform    index    data    designed       stress    complete    burden    score    learning    monitoring    behavioral    enabled    patterns    analytics    gestational    bloom   

Project "WISH" data sheet

The following table provides information about the project.

Coordinator
BLOOM TECHNOLOGIES 

Organization address
address: SCHIEPSE BOS 6
city: GENK
postcode: 3600
website: n.a.

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Belgium [BE]
 Project website https://bloomlife.com/research/wish-project/
 Total cost 1˙798˙562 €
 EC max contribution 1˙258˙993 € (70%)
 Programme 1. H2020-EU.2.1.1. (INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Information and Communication Technologies (ICT))
2. H2020-EU.2.3.1. (Mainstreaming SME support, especially through a dedicated instrument)
 Code Call H2020-SMEINST-2-2016-2017
 Funding Scheme SME-2
 Starting year 2017
 Duration (year-month-day) from 2017-11-01   to  2019-10-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    BLOOM TECHNOLOGIES BE (GENK) coordinator 1˙258˙993.00

Map

 Project objective

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. PTB occurs across all countries and income levels with an average rate between 6% and 12% of all births, resulting in a significant economic impact. Studies situate the overall cost per preterm birth at approximately €60,000.

Bloom will reduce this burden with WISH, a complete, technology-enabled and clinically validated solution to predict and detect the onset of preterm labor. Composed of a new improved version of our award-winning wearable sensor, a specifically designed electrode patch, a consumer app, a web-based dashboard and a secure cloud data platform, WISH integrates seamlessly into the daily activities of expectant women, facilitating data for expectant women at home and for healthcare professionals in hospitals. WISH uses our latest breakthroughs in advanced signal processing methods and machine learning analytics to extract meaningful labor risk conclusions based on physiological indicators and behavioral patterns. It automatically builds a real-time comprehensive index score on the probability of labor using the data from limited monitoring sessions that can easily be conducted at home.

WISH will facilitate preventive actions in pregnancies to shift the gestational age at delivery, thus reducing the economic and psychological burden of PTB and ensuring a more efficient prenatal care with technology that could potentially avoid 74% of mother and infant mortalities, according to studies from Frost & Sullivan. WISH will contribute to the clinical and academic knowledge on PTB with results that will advance research on its pathogenesis. Through pilot clinical studies, we have also demonstrated a significant 15% reduction in stress and anxiety levels, thus also contributing to the general well-being of expectant women.

 Deliverables

List of deliverables.
WISH website and videos Websites, patent fillings, videos etc. 2019-05-31 11:37:17

Take a look to the deliverables list in detail:  detailed list of WISH deliverables.

 Publications

year authors and title journal last update
List of publications.
2019 M. Altini, M.J. Rooijakkers, E. Rossetti and J. Penders
Towards personalized and non-invasive labor detection using bloomlife pregnancy tracker
published pages: , ISSN: , DOI:
The Society for Maternal & Fetal Medicine 2019 2019-04-18

Are you the coordinator (or a participant) of this project? Plaese send me more information about the "WISH" project.

For instance: the website url (it has not provided by EU-opendata yet), the logo, a more detailed description of the project (in plain text as a rtf file or a word file), some pictures (as picture files, not embedded into any word file), twitter account, linkedin page, etc.

Send me an  email (fabio@fabiodisconzi.com) and I put them in your project's page as son as possible.

Thanks. And then put a link of this page into your project's website.

The information about "WISH" are provided by the European Opendata Portal: CORDIS opendata.

More projects from the same programme (H2020-EU.2.1.1.;H2020-EU.2.3.1.)

WIMUACT (2017)

TECHNOLOGY FOR THE IMPROVEMENT OF SPORTS PERFORMANCE IN NON-PROFESSIONAL CONTEXTS

Read More  

REALM (2015)

A disruptive method to free physicians from Hospital Information Systems by generating fault free patient diagnostic documents in real-time using natural language

Read More  

Digiteal (2016)

Digiteal: European Payment and e-Invoicing platform

Read More