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Clinical Trial Details — Status: Completed

Administrative data

NCT number NCT03982654
Other study ID # WISH01
Secondary ID
Status Completed
Phase N/A
First received
Last updated
Start date March 30, 2018
Est. completion date March 5, 2019

Study information

Verified date June 2019
Source Bloom Technologies
Contact n/a
Is FDA regulated No
Health authority
Study type Interventional

Clinical Trial Summary

The purpose of the study is to collect data to support the development and validation of a machine learning model for the automatic detection, prediction and monitoring of labour, through the use of a wearable sensor (Bloomlife sensor) that can be easily used at home.

Women participating in the study will be asked to regularly record data with the Bloomlife sensor, from inclusion in the study until delivery. In addition, clinical information related to their pregnancy and delivery will be collected.


Recruitment information / eligibility

Status Completed
Enrollment 145
Est. completion date March 5, 2019
Est. primary completion date November 26, 2018
Accepts healthy volunteers Accepts Healthy Volunteers
Gender Female
Age group 18 Years and older
Eligibility Inclusion Criteria:

- Pregnant

- Gestational age between 20 weeks and 0 days and 30 weeks and 0 days

- Willingness to participate in the study

Exclusion Criteria:

- Implanted pacemaker or any other implanted electrical device

- History of allergies to silicone-based adhesives

- Any health condition resulting in higher chance of C-section (meeting one of these criteria is sufficient to be excluded): previous history of C-section, placental abnormality, being primipara and older than 40

Study Design


Related Conditions & MeSH terms


Intervention

Device:
Bloomlife
Women use the Bloomlife sensor to collect data throughout their pregnancy. The collected data is stored locally in the device, but it is not used to provide any feedback to the patients or to the clinical team. Therefore the use of the device doesn't have an impact on clinical decision making and patients' care.

Locations

Country Name City State
Belgium Ziekenhuis Oost-Limburg Genk
Belgium CHR de la Citadelle Liège

Sponsors (1)

Lead Sponsor Collaborator
Bloom Technologies

Country where clinical trial is conducted

Belgium, 

Outcome

Type Measure Description Time frame Safety issue
Primary Accuracy Accuracy of the machine learning model for the automatic detection of labor, measured in terms of sensitivity and specificity in detecting labour At delivery
Secondary Labour probability Probability of being in labour, computed using electrophysiological signals collected with the Bloomlife sensor At delivery