Labour Onset Clinical Trial
Official title:
Investigating the Physiology of Labour, Labour Onset and Pregnancy Outcomes in Pregnant Women, Through Longitudinal Measurements Performed With a Wearable Sensor
| 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 |
| Verified date | June 2019 |
| Source | Bloom Technologies |
| Contact | n/a |
| Is FDA regulated | No |
| Health authority | |
| Study type | Interventional |
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.
| 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 |
| Country | Name | City | State |
|---|---|---|---|
| Belgium | Ziekenhuis Oost-Limburg | Genk | |
| Belgium | CHR de la Citadelle | Liège |
| Lead Sponsor | Collaborator |
|---|---|
| Bloom Technologies |
Belgium,
| 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 |