An observational study in ECG-PCG-CTG Acquisition on Pregnant Voluntary Subjects, sponsored by University Hospital, Grenoble. Completed at 1 site in France. Open to female participants aged 18 Years and older, including healthy volunteers. Per ClinicalTrials.gov, last updated 2021-06-04.
Sponsored by University Hospital, Grenoble · Observational
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.
To monitor the well-being of a fetus or for a clinical diagnosis, a challenge is to extract a fetal electrocardiogram (fECG) signal of high quality from a limited number of non-invasive sensors on the maternal abdomen.
During childbirth, fetal monitoring is assessed by the fetal heart rate (FHR), classically from cardiotocography (CTG). The aim is to monitor FHR variability anomalies that reflect a too high fetal malaise. It is very common to have difficulties to reliably record FHR due to confusion of rhythms of the mother and the fetus that can lead to unnecessary caesareans. With 800000 childbirths in France per year, improving the reliability of FHR estimation by fECG analysis is therefore of high clinicalinterest.
To deal with, the proposed approach aims at coupling two complementary cardiac information acquired at the best-located position. Therefore, the proposed solution is (i) to combine the use of electrophysiological sensors ECG and acoustic sensors of microphonic type that can register phonocardiographic signals (PCG), (ii) to assist by computer the clinical expertise to choose the best sensors location. Several methodological aspects will be considered: to improve the robustness of the FHR estimation with degraded signals based on multimodality, to overcome some practical limitations to extract the fECG waveforms by enhancing the process extraction with PCG and to assist the user in the sensors choice and placement by predicting their best locations and their kinds (ECG or PCG).
The SurFAO project proposes then an original approach of computer-assisted fetal monitoring and thus differs from previous published works of fECG extraction solutions, only based on algorithmic performances mostly in well-controlled situations. The original aspects of the investigator's proposal are the innovative methodological choices based on multimodality and informed recording process, the consideration of the medical uses and of the necessity to help the clinical monitoring to design the algorithms, the new reference multimodal database, and the academic-clinical consortium, that will guarantee the relevance of all proposed parts.
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Pregnant women
Exclusion Criteria:
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
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
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.
Time frame: 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.
Time frame: 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.
Time frame: 30 minutes
Subject Acceptability: Score
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.
Time frame: 15 minutes
Subject Acceptability : Descriptive analysis
Open questions will be asked to the subjects in a questionnaire. A descriptive analysis will be done with the answers.
Time frame: 15 minutes
Use Error evaluation : System Usability Scale (SUS)
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).
Time frame: 15 minutes
Use Error evaluation : Descriptive analysis
In a journal, the users will write their difficulties using the system. A descriptive analysis will be done with the answers.
Time frame: 15 minutes
Plan to share: No
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University Hospital, Grenoble