Abstract
Crying is the primary method to convey the needs and desires of the newborns, being their first manifestation. This study investigated the implementation of a system for the automatic collection and identification of the newborn’s crying, thus relying on automatic association with their physical needs. The study sought to develop a database of information about the needs of newborns expressed by crying. After the analysis of the literature, the study team identified 6 physiological types of crying, corresponding to different needs and the pathological crying. The underlying causes of physiological crying are hunger, pain, eructation, sleep, minor discomfort and colics. Pathological crying is associated with an abnormal condition of the newborn. The crying of the newborns was acquired after obtaining the informed consent of the parents’ participation in the maternity and/or at home. The study had two stages: the collection of the cries and testing in the real world. The collection of the sound signals corresponding to the newborn language consisted in the proper collection of sounds and the labeling of the data. Labeling of data took place in the maternity during the recording of the newborn’s crying. Labeling of the data acquired at home consisted of a double validation, namely: viewing the newborn and correlating with the home journal, and validating the records compared to the Dunstan crying types. The testing in the real world consisted in acquisition of newborn cryings and the data labelling took place in the maternity in the similar condition of the first stage and the data acquired at home were labelled comparing to the Dunstan crying types. The most important source of limitation of the study was obtaining informed consent from parents for the study participation agreement, which was positive for 39% of eligible newborns. Most opted for maternity study, as home registration involved an additional request for mothers (88% of those involved), only 12% (of those involved) giving their maternity and home leave. As main conclusion of the study we can state that a significant number of subjects were included in the study for a coherent statistical analysis. A database was created for all 7 types of complaints, varying according to need and place of acquisition. This database can be a source of information for further studies.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.