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| Name | Class |
|---|---|
| TIMC-IMAG | OTHER |
| University Grenoble Alps | OTHER |
| Clinical Investigation Centre for Innovative Technology Network | NETWORK |
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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.
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).
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Pregnancy volunteer subjects | Experimental | 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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| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| ECG/PCG and ultrasound signal acquisition | Device | 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. |
| Measure | Description | Time Frame |
|---|---|---|
| ECG / PCG Signals database | 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). | 20 minutes |
| Ultrasound signals database | The fetal heart activity is analyzed using mechanograms and Doppler during ultrasound (gold standard). | 10 minutes |
| Measure | Description | Time Frame |
|---|---|---|
| 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. | 10 minutes |
| Subject Acceptability : Descriptive analysis |
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Inclusion Criteria:
Exclusion Criteria:
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| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Matthias LACHAUD, MD | Contact | +33 4 76 76 94 95 | MLachaud@chu-grenoble.fr | |
| Isabelle Boudry, PhD | Contact | +33 4 76 76 66 45 | IBoudry@chu-grenoble.fr |
| Name | Affiliation | Role |
|---|---|---|
| Matthias LACHUAD, MD | University Hospital Grenoble Alpes | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| University Hospital Grenoble Alpes | Recruiting | Grenoble | 38043 | France |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 26736322 | Background | 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. | |
| 25570347 | Background | 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. |
| Label | URL |
|---|---|
| Website of the Clinical Investigation Centre for Innovative Technology of the Grenoble Alpes University Hospital | View source |
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Creation of a multimodal database
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Open questions will be asked to the subjects in a questionnaire. A descriptive analysis will be done with the answers. |
| 10 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). | 10 minutes |
| Use Error evaluation : Descriptive analysis | 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. | 60 minutes |