Perinatal asphyxia affects 3 to 8 newborns per 1,000 births, with moderate or severe anoxic-ischemic encephalopathy occurring in 0.5 to 1 per 1,000 births. Approximately 15 to 20% of affected newborns will die during the postnatal period, and 25 to 50% of those who survive will develop severe disabilities (epilepsy, cerebral palsy, sensory, behavioral, and psychiatric disorders).

In situations where there is a risk of perinatal asphyxia, the challenge for obstetricians is to choose between vaginal delivery or cesarean section and to determine the optimal time to induce labor in order to prevent brain damage.

Visual analysis of fetal heart rate (FHR) and uterine contraction signals by cardiotocography (CTG) is the gold standard method for monitoring fetal status and is one of the most common obstetric procedures. Numerous classifications have been proposed to classify FHR and predict neonatal outcomes. Unfortunately, they have a high rate of interobserver variability and low specificity for predicting neonatal complications.

The INSERM CIC-IT 1403 unit at Lille University Hospital has previously developed an innovative heart rate variability (HRV) analysis method for assessing autonomic nervous system activity. This technology has been adapted for assessing pain and well-being in adults and newborns (ANI and NIPE® monitors) and is now distributed in more than 70 countries worldwide. Numerous studies have demonstrated the ability of this HRV analysis to study the autonomic response to painful stimuli in adults, children, and newborns. More recently, we have studied the ability of our HRV analysis method to predict acidosis and have adapted it to obtain a fetal stress index (FSI).

As proof of concept for the effectiveness of FSI in treating acidosis and adverse neonatal outcomes (i.e., brain damage) has been established in an animal model as part of the PrevAP project, we hypothesize that FSI analysis could provide an effective means of assessing acidosis in human fetuses. Such real-time analysis of fetal HRV is now possible thanks to the TOCONAUTE system, whose safety and performance have been demonstrated in a previous study.

The aim of the project is to include a cohort of pregnant women from the onset of labor until delivery. The database will include multiple physiological signals provided by TOCONAUTE (fetal electrocardiogram (ECG), maternal ECG, uterine contractions, FHR, maternal heart rate signal, etc.), blood sample analyses (pH, lactate, base excess, pO2, pCO2, etc.), and maternal and neonatal outcomes. The objective is to confirm the FSI's ability to predict neonatal acidosis in human fetuses and to determine the optimal FSI threshold for predicting neonatal acidosis.

Inclusion Criteria:

• Pregnant woman admitted to the delivery room for childbirth
• Fetus in cephalic presentation
• Aged 18 to 45 years old
• Gestational age greater than 37 weeks
• Understanding of the French language
• Participant who has given written consent to participate in the study.

Exclusion Criteria:

• Hospitalization for medical termination of pregnancy
• Death in utero
• Heart transplant
• Twin pregnancy
• Open wound in an area covered or wrapped by the medical device
• Allergy to a component of the TOCONAUTE device: polyamide, polyester, elastane, silver, other synthetic materials
• Sensory disorders rendering the subject insensitive to pain on the skin
• Risk of contamination (viral/infectious) of one of the materials constituting the device
• Participant wearing an implanted medical device (pacemaker, etc.)
• Simultaneous participation in another research study.