Not provided
Not provided
| ID | Type | Description | Link |
|---|---|---|---|
| ANSM | Other Identifier | 2024-A00286-41 |
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Crying is a vital communication signal for the baby. Product of a complex physiological process, it reflects not only the organization and functioning of the cortical central nervous system and the function of sympathetic and parasympathetic autonomic regulation but also the integrity of three entities: the lungs responsible for ventilatory mechanics and respiratory rhythm, the larynx and its vocal cords as a phonatory organ, and the oropharyngeal tract guaranteeing the resonance of the sound emitted by the vocal cords.
Crying is usually caused by pain, discomfort, hunger, or separation from parents or other caregivers. Crying carries essential information from birth, the expression of which depends closely on the neuroanatomical and functional brain integrity of the child. On a bioacoustic level, crying consists of sequences of complex acoustic signals produced by the vocal folds and filtered by the vocal tract. The vibration frequency of the vocal cords determines the cry's fundamental frequency f0 (and the harmonic frequencies), which is responsible for its more or less low or high pitch. Other acoustic cues also characterize each baby's cry.
The objective of the Baby's cry 1000/100 study is to evaluate the acoustic characteristics of crying at birth, of term and premature babies and to correlate them with neurodevelopmental outcomes at 2 years of age to see if the bioacoustic characteristics of crying at birth could be predictive of the baby's neurofunctional integrity.
To achieve this objective, the investigators wish to document a large bank of recordings of the crying of term or premature babies by relying on deep learning and artificial intelligence approaches, making it possible to process large databases quickly, evaluate the links between acoustics of crying and clinical data at the birth of full-term babies who will benefit from systematic neurodevelopmental monitoring at 2 years (Bayley scale).
Not provided
Not provided
Not provided
Not provided
Not provided
| Label | Type | Description | Intervention Names |
|---|---|---|---|
| birth of term babies | Study of crying in a group of newborns (birth of term babies) |
| |
| Premature babies | Study of crying in a group of newborns (Premature babies ) |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Acoustic signal analysis method | Other | Evaluate at birth in 2 characterized populations of babies born at term or prematurely, the correlation between bioacoustic characteristic of a cry specific to each baby, with the neurodevelopmental data at 2 years. |
| Measure | Description | Time Frame |
|---|---|---|
| Fundamental frequency f0 (Hz) | Fundamental frequency f0 (Hz) defined from a crying sequence, the most characteristic elementary index of their individual bioacoustic signature. | At inclusion |
| Bailey-4 quantitative scale | neurodevelopment at age 2 measured by the Bailey-4 quantitative scale. The final score is from 40 (Very weak neurodevelopment) to 160 (Very good neurodevelopment) | At 2 years |
| Measure | Description | Time Frame |
|---|---|---|
| Percentage voiced frames | Other bioacoustic characteristics measurable in each bioacoustic sequence | At inclusion |
| Harmonics of f0 (Hz) | Other bioacoustic characteristics measurable in each bioacoustic sequence : vibration frequency of the vocal cords, defining a +/- low or high tone |
Not provided
Inclusion Criteria:
Exclusion Criteria:
Not provided
Not provided
Not provided
Full-term baby > 37 weeks Premature baby < 37 weeks
| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| HUGUES PATURAL, MD-PhD | Contact | (0)4 77 82 85 42 | +33 | hugues.patural@chu-st-etienne.fr |
| Name | Affiliation | Role |
|---|---|---|
| HUGUES PATURAL, MD-PhD | CHU DE SAINT-ETIENNE | Principal Investigator |
| Nicolas MATHEVON, PhD | Saint-Etienne University | Study Chair |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Chu de Saint-Etienne | Recruiting | Saint-Etienne | 42055 | France |
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
| ID | Term |
|---|---|
| D047928 | Premature Birth |
| D003448 | Crying |
| ID | Term |
|---|---|
| D007752 | Obstetric Labor, Premature |
| D007744 | Obstetric Labor Complications |
| D011248 | Pregnancy Complications |
| D005261 | Female Urogenital Diseases and Pregnancy Complications |
Not provided
Not provided
Not provided
Not provided
Not provided
| At inclusion |
| Median pitch f0 (Hz) | Other bioacoustic characteristics measurable in each bioacoustic sequence | At inclusion |
| Harmonicity (dB) | Other bioacoustic characteristics measurable in each bioacoustic sequence | At inclusion |
| Jitter (Percentage), | Other bioacoustic characteristics measurable in each bioacoustic sequence | At inclusion |
| Q25 (Percentage) | Other bioacoustic characteristics measurable in each bioacoustic sequence : rapid amplitude fluctuations occurring at frequencies between 30 and 150 Hz | At inclusion |
| Median Cepstral Peak Prominence (CPP) (dB) | The CPP makes it possible to quantify the "quality" of the voice and the acoustic signal and its degree of harmonicity as opposed to the severity of the dysphonia | At inclusion |
| D000091642 | Urogenital Diseases |
| D009633 | Nonverbal Communication |
| D003142 | Communication |
| D001519 | Behavior |