Computerized Antepartum Monitoring Using Non-invasive Fetal Ecg for High Risk Pregnancy
1 other identifier
observational
500
0 countries
N/A
Brief Summary
The long term aim of this research is to evaluate a portable NI-FECG (Non-invasive fetal ECG) monitor (Holter NI-FECG) which can be used for regular remote assessment of fetal health in pregnancies at risk or to follow-up on treatments. The elaboration of a NI-FECG Holter device will offer new opportunities for fetal diagnosis and remote monitoring of problematic pregnancies because of its low-cost, non-invasiveness, portability and minimal set-up requirements.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for all trials
Started Dec 2019
Longer than P75 for all trials
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
Study Start
First participant enrolled
December 1, 2019
CompletedFirst Submitted
Initial submission to the registry
December 2, 2019
CompletedFirst Posted
Study publicly available on registry
December 5, 2019
CompletedPrimary Completion
Last participant's last visit for primary outcome
December 1, 2023
CompletedStudy Completion
Last participant's last visit for all outcomes
December 1, 2023
CompletedDecember 5, 2019
December 1, 2019
4 years
December 2, 2019
December 4, 2019
Conditions
Keywords
Outcome Measures
Primary Outcomes (4)
Identification of abnormal fetal heart rate from NI-FECG
To compare the clinical interpretation of the NI-FECG obtained fetal heart rate trace to the fetal heart rate interpretation from the fetal heart rate obtained from conventional CTG. This will involve blinded reading and scoring of FHR obtained from the NI-FECG and CTG from a panel of expert clinician.
2 years
Computerized NI-FECG for the prediction of abnormal FHR traces
To compare the computerized analysis of the FHR trace obtained using NI-FECG to the clinician visual interpretation of the FHR trace obtained using CTG (usual care). This will involve the implementation of algorithms that can detect standard14 and new features assessing the Fetal HRV (FHRV) and the elaboration of a machine learning model which can predict abnormal traces from these features
2 years
Comparison between computerized CTG and NI-FECG
To compare the predictive power of computerized CTG versus computerized NI-FECG for the assessment of abnormal traces. For that purpose, a machine learning model will be trained (1) on features extracted from the FHR trace obtained using CTG and (2) on features extracted from the FHR obtained using the NI-FECG trace
4 years
Develop a portable NI-FECG monitor for remote fetal monitoring.
To develop a portable NI-FECG monitor which can be used to record the fetal ECG at the patient's home. The monitor will transfer the data to a remote server where source separation will be performed to extract the fetal ECG. Algorithms implemented for extracting characteristic features and the machine learning model will be run to predict whether the traces are normal or abnormal. The elaboration of such algorithm is particularly relevant for resource constrained region where medical experts is scarce.
4 years
Study Arms (2)
Low-risk pregnant women
Normal cohort: this cohort consists of pregnancies which are not at risk. Data are recorded during the normal checkup happening as part of the usual care pathway
High-risk pregnant women
Risk cohort: this cohort consists of pregnancies at risk and which are regularly recorded for the purpose of fetal surveillance. Specifically, the investigators recruit pregnancies with intra uterine growth restricted fetuses for this study.
Interventions
Fetal heart rate monitor
Eligibility Criteria
Low risk and High risk pregnancies. Low risk post date patients. High risk intra uterine growth restricted fetuses.
You may qualify if:
- Singleton pregnancies.
- low-risk pregnancy: women from the post-date clinic (after 40 weeks' gestation) in which we perform routinely Non stress test and ultrasound.
- High-risk pregnancy: women who are hospitalized for different indications: IUGR, diabetes, hypertension, non-reassuring fetal heart rate, Decreased fetal movements
You may not qualify if:
- Non singleton pregnancies.
- Do not want to participate in the study
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Officials
- PRINCIPAL INVESTIGATOR
Oren Grunwald, MD
Rambam Health Care Campus
Central Study Contacts
Study Design
- Study Type
- observational
- Observational Model
- COHORT
- Time Perspective
- PROSPECTIVE
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Oren Grunwald MD
Study Record Dates
First Submitted
December 2, 2019
First Posted
December 5, 2019
Study Start
December 1, 2019
Primary Completion
December 1, 2023
Study Completion
December 1, 2023
Last Updated
December 5, 2019
Record last verified: 2019-12
Data Sharing
- IPD Sharing
- Will not share