WISH – Wearable Integrated System for Early Detection of Preterm Labour

Projektinformationen

WISH

ID Finanzhilfevereinbarung: 778503

DOI 10.3030/778503

Projekt abgeschlossen

EK-Unterschriftsdatum 31 Oktober 2017

Startdatum 1 November 2017

Enddatum 31 Oktober 2021

Finanziert unter

• INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Information and Communication Technologies (ICT)

Gesamtkosten € 1 798 562,50

EU-Beitrag € 1 258 993,75

Koordiniert durch

BLOOM TECHNOLOGIES
Belgium

Ziel

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.

Wissenschaftliches Gebiet

• social sciences › sociology › demography › mortality
• engineering and technology › electrical engineering, electronic engineering, information engineering › electronic engineering › signal processing
• medical and health sciences › clinical medicine › obstetrics › fetal medicine
• engineering and technology › electrical engineering, electronic engineering, information engineering › electronic engineering › sensors
• natural sciences › computer and information sciences › artificial intelligence › machine learning

Programm/Programme

• H2020-EU.2.1.1. - INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Information and Communication Technologies (ICT) Main Programme
• H2020-EU.2.3.1. - Mainstreaming SME support, especially through a dedicated instrument

Thema/Themen

• SMEInst-01-2016-2017 - Open Disruptive Innovation Scheme

Aufforderung zur Vorschlagseinreichung

H2020-SMEInst-2016-2017

Andere Projekte für diesen Aufruf anzeigen

Unterauftrag

H2020-SMEINST-2-2016-2017

Finanzierungsplan

SME-2 - SME instrument phase 2

Koordinator

BLOOM TECHNOLOGIES

• Netto-EU-Beitrag: € 1 258 993,75
• Adresse: SCHIEPSE BOS 6 ; 3600 GENK ; Belgien
• KMU Die Organisation definierte sich zum Zeitpunkt der Unterzeichnung der Finanzhilfevereinbarung selbst als KMU (Kleine und mittlere Unternehmen). Ja:
  Region
  Vlaams Gewest › Prov. Limburg (BE) › Arr. Hasselt
• Region: Vlaams Gewest › Prov. Limburg (BE) › Arr. Hasselt
• Aktivitätstyp: Private for-profit entities (excluding Higher or Secondary Education Establishments)
• Gesamtkosten: € 1 798 562,50