NCT03857126

Brief Summary

In the context of fetal heart monitoring, the SurFAO project offers an alternative to current clinical routines. The challenge is to extract, from few non-invasive sensors on the maternal abdomen, a fetal electrocardiogram (ECGf) of great quality allowing a clinical diagnosis (follow-up of the FHR (fetal heart rate)) and extraction of ECG waveforms). The proposed approach proposes a technological breakthrough shared by a consortium of researchers and clinicians. The originality is driven by innovative methodological choices: the use of a multimodal system (ECG coupling with PCG (phonocardiographic)) for the signal acquisition in order to increase the robustness of information extraction, by taking into account clinical uses and the need for the monitoring process support, and by setting up a reference for this multimodal database. The objective is to feed a database that will be used in the future to develop ECGf extraction methods estimating the FHR.

Trial Health

87
On Track

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
40

participants targeted

Target at P25-P50 for all trials

Timeline
Completed

Started May 2019

Typical duration for all trials

Geographic Reach
1 country

1 active site

Status
completed

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

First Submitted

Initial submission to the registry

December 31, 2018

Completed
2 months until next milestone

First Posted

Study publicly available on registry

February 27, 2019

Completed
2 months until next milestone

Study Start

First participant enrolled

May 2, 2019

Completed
2 years until next milestone

Primary Completion

Last participant's last visit for primary outcome

April 15, 2021

Completed
2 months until next milestone

Study Completion

Last participant's last visit for all outcomes

May 31, 2021

Completed
Last Updated

June 4, 2021

Status Verified

June 1, 2021

Enrollment Period

2 years

First QC Date

December 31, 2018

Last Update Submit

June 3, 2021

Conditions

Keywords

Signal DatabasePregnancyElectrocardiogramPhonocardiogramCardiotocographyUsability

Outcome Measures

Primary Outcomes (3)

  • ECG Signals Database

    Synchronized signals from ECG electrodes during a 30-minute monitoring phase. Tracking of the electrical activity in the heart. During the study period we will collect R wave, P wave, QT interval, ST interval, QRS complex, RR interval components of the ECG. Signals were then processed to extract fetal ECG.

    30 minutes

  • PCG Signals Database

    Synchronized signals from PCG sensors during a 30-minute monitoring phase. Acquisition of acoustic information reflecting the contraction and relaxation of the heart. During the study period we will collect S1 and S2 sounds components of the PCG. Signals were then processed to extract fetal PCG.

    30 minutes

  • CTG Signals Database

    CTG is continuous monitoring of the fetal heart rate (gold standard reference). Physicians evaluate specific clinical CTG parameters by means of visual inspection.

    30 minutes

Secondary Outcomes (4)

  • Subject Acceptability: Score

    15 minutes

  • Subject Acceptability : Descriptive analysis

    15 minutes

  • Use Error evaluation : System Usability Scale (SUS)

    15 minutes

  • Use Error evaluation : Descriptive analysis

    15 minutes

Study Arms (1)

Pregnancy volunteer subjects

Subjects who will agree to participate in the investigator's study will be pregnant healthy subjects with no particular antecedent, followed at the University Hospital of Grenoble for a physiological pregnancy; their child will be not affected by any prenatal pathology. Subjects will be enrolled in a 30 min monitoring phase to collect signals from ECG-PCG-CTG abdominal and thoracic non invasive sensors.

Other: Signal acquisition

Interventions

ECG-PCG-CTG synchronized signals acquisition over a monitoring phase of 30 minutes. These signals will be acquired with passive non invasive sensors (abdominal and thoracic).

Also known as: Non invasive ECG-PCG-CTG sensors
Pregnancy volunteer subjects

Eligibility Criteria

Age18 Years+
Sexfemale(Gender-based eligibility)
Gender Eligibility DetailsPregnant women
Healthy VolunteersYes
Age GroupsAdult (18-64), Older Adult (65+)
Sampling MethodProbability Sample
Study Population

Pregnant women

You may qualify if:

  • Pregnant of a single pregnancy,
  • Aged over 18,
  • During the 9th month of pregnancy (\>= 37 weeks),
  • With uncomplicated maternal and fetal pregnancy follow-up,
  • With a BMI between 18.5 and 30 at the beginning of pregnancy,
  • Without a notable medical history,
  • Enrolled in a social security scheme,
  • Having signed the consent form for the study.

You may not qualify if:

  • Subject under guardianship, protected by law or deprived of liberty (Article L1121-8),
  • Subject under administrative or judicial supervision,
  • With toxic consumption (i.e. tobacco, alcohol, cannabis),
  • With inaccurate pregnancy term,
  • With denial of pregnancy.

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

University Hospital Grenoble

Grenoble, 38043, France

Location

Related Publications (5)

  • Equy V, Buisson S, Heinen M, Schaal J-P, Hoffmann P, Sergent F. Confusion between maternal and fetal heart rate during delivery: risk factors and consequences British Journal of Midwifery, vol.20 (11), 2012

    RESULT
  • Gobillot S, Fontecave-Jallon J, Equy V, Rivet B, Gumery PY, Hoffmann P. Non-invasive fetal monitoring using electrocardiography and phonocardiography: A preliminary study. J Gynecol Obstet Hum Reprod. 2018 Nov;47(9):455-459. doi: 10.1016/j.jogoh.2018.08.009. Epub 2018 Aug 23.

  • Noorzadeh S, Rivet B, Gumery PY. An application of Gaussian processes on ocular artifact removal from EEG. Annu Int Conf IEEE Eng Med Biol Soc. 2015 Aug;2015:554-7. doi: 10.1109/EMBC.2015.7318422.

  • Noorzadeh S, Niknazar M, Rivet B, Fontecave-Jallon J, Gumery PY, Jutten C. Modeling quasi-periodic signals by a non-parametric model: application on fetal ECG extraction. Annu Int Conf IEEE Eng Med Biol Soc. 2014;2014:1889-92. doi: 10.1109/EMBC.2014.6943979.

  • Noorzadeh S, Rivet B, Guméry PY. A multi-modal approach using a non-parametric model to extract fetal ECG. Proc. IEEE Int. Conf. Acoustics, Speech, and Signal Processing (ICASSP), Brisbane, Australia, 2015, pp. 1856-60

    RESULT

Study Officials

  • Véronique Equy

    CHU Grenoble Alpes

    PRINCIPAL INVESTIGATOR

Study Design

Study Type
observational
Observational Model
COHORT
Time Perspective
PROSPECTIVE
Sponsor Type
OTHER
Responsible Party
SPONSOR

Study Record Dates

First Submitted

December 31, 2018

First Posted

February 27, 2019

Study Start

May 2, 2019

Primary Completion

April 15, 2021

Study Completion

May 31, 2021

Last Updated

June 4, 2021

Record last verified: 2021-06

Data Sharing

IPD Sharing
Will not share

Locations