- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT04235075
Computer-assisted Fetal Monitoring - Cardiology (SURFAO-CARDIO)
In the context of fetal heart monitoring (prenatal and during childbirth), the SurFAO project offers an alternative to current clinical routines. The challenge is to extract, from 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 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 (phonocardiography)) for the signal acquisition in order to increase the robustness of information extraction, by taking into account clinical uses and the need to support the monitoring process, and by setting up a multimodal database.
The objective is to feed a database that will be used in the future to develop ECGf extraction methods.
Study Overview
Status
Conditions
Intervention / Treatment
Detailed Description
To monitor the well-being of a fetus or for clinical diagnosis, the challenge is to extract a high-quality fetal electrocardiogram (fECG) signal from non-invasive sensors on the maternal abdomen.
As early as the 20th week of amenorrhea, heart rhythm disorders (tachycardia, bradycardia) can be detected in the fetus, most often by fortuitous circumstance, during routine obstetrical ultrasound examinations. It is then necessary to analyze these rhythmic anomalies, understand their origin and, if necessary, initiate pharmacotherapy. The effectiveness of the treatments is then monitored by ultrasound in the high-risk pregnancy department.
The analysis of a fetal electrocardiogram (fECG) provides information that allows to determine the nature of the rhythm disorder, its origin and therefore its potential severity.
The innovative methodological approach considered for the extraction of non-invasive ECGf is to combine 2 complementary modalities of the same cardiac phenomenon. This is achieved by combining the use of ECG sensors with sound sensors giving access to phonocardiographic signals (PCG).
Study Type
Enrollment (Anticipated)
Phase
- Not Applicable
Contacts and Locations
Study Contact
- Name: Matthias LACHAUD, MD
- Phone Number: +33 4 76 76 94 95
- Email: MLachaud@chu-grenoble.fr
Study Locations
-
-
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Grenoble, France, 38043
- Recruiting
- University Hospital Grenoble Alpes
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-
Participation Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Genders Eligible for Study
Description
Inclusion Criteria:
- single pregnancy
- between 20 and 26 weeks of amenorrhea
- with a BMI between 18.5 and 30 at the beginning of pregnancy
- fetal heart considered normal after expert ultrasound
- examination conditions deemed correct by the expert
- registered in a social security scheme
- having signed the study consent form
Exclusion Criteria:
- subject to a legal protection measure or unable to express consent (guardianship, guardianship) (article L1121-8)
- deprived of liberty by judicial or administrative decision (article L1121-6)
- in a period of exclusion from another study
- with toxic consumption (i.e. tobacco, alcohol, cannabis)
- Intrauterine growth retardation (estimated fetal weight less than the 10th percentile)
- fetal heart rhythm disorders
- with unclear pregnancy term
- with pregnancy denial
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Other
- Allocation: N/A
- Interventional Model: Single Group Assignment
- Masking: None (Open Label)
Arms and Interventions
Participant Group / Arm |
Intervention / Treatment |
---|---|
Experimental: Pregnancy volunteer subjects
Subjects who will agree to participate in the study will be pregnant women referred to the Grenoble Alpes University Hospital for expert fetal cardiac ultrasound examination who have not revealed any abnormalities.
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The ECG - PCG signals are acquired over a 20-minute monitoring phase with passive non invasive sensors (abdominal and thoracic). The volunteer's abdomen is photographed when the electrodes and sensors are installed. An ultrasonography is also performed for 10 minutes. The session is filmed for 5 volunteers accepting the video. Any distinctive elements will be removed from photos and videos to prevent the identification of participants. |
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
ECG / PCG Signals database
Time Frame: 20 minutes
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Synchronized signals from ECG electrodes and PCG sensors.
Signals will be processed to extract fetal ECG and specific waveforms characteristics of fECG (in parts of R waves, P waves, QT intervals, ST intervals).
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20 minutes
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Ultrasound signals database
Time Frame: 10 minutes
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The fetal heart activity is analyzed using mechanograms and Doppler during ultrasound (gold standard).
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10 minutes
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Subject acceptability : Score
Time Frame: 10 minutes
|
The subject acceptability score will be composed by the addition of 7 scales.
These scales have been specifically created for the SurFAO system.
The score can go from 0 (worst) to 70 (best).
Each scale can give from 0 to 10 points to the final score.
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10 minutes
|
Subject Acceptability : Descriptive analysis
Time Frame: 10 minutes
|
Open questions will be asked to the subjects in a questionnaire.
A descriptive analysis will be done with the answers.
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10 minutes
|
Use Error evaluation : System Usability Scale (SUS)
Time Frame: 10 minutes
|
The System Usability Scale (SUS) is a validated tool for assessing the subjective usability of a system, in this case, the SurFAO System. It contains 10 questions that are rated on a scale from 1 to 5. "The participant's scores for each question are converted to a new number, added together and then multiplied by 2.5 to convert the original scores of 0-40 to 0-100." Jeff Sauro established the average score of SUS is 68. The score can go from 0 (worst) to 100 (best). |
10 minutes
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Use Error evaluation : Descriptive analysis
Time Frame: 60 minutes
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Difficulties in using the system will be recorded in the case report form and identified using photographs and video.
A descriptive analysis will be done.
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60 minutes
|
Collaborators and Investigators
Sponsor
Collaborators
Investigators
- Principal Investigator: Matthias LACHUAD, MD, University Hospital Grenoble Alpes
Publications and helpful links
General Publications
- 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.
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Anticipated)
Study Completion (Anticipated)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Other Study ID Numbers
- 38RC19.309
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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