Automatic infant cry analysis for the identification of qualitative features to help opportune diagnosis

dc.creatorMaría Antonia Ruíz Díaz
dc.creatorCARLOS ALBERTO REYES GARCIA
dc.creatorLuis Carlos Altamirano Robles
dc.creatorJorge Eduardo Xalteno Altamirano
dc.creatorANTONIO VERDUZCO MENDOZA
dc.date2012
dc.date.accessioned2023-07-25T16:24:40Z
dc.date.available2023-07-25T16:24:40Z
dc.identifierhttp://inaoe.repositorioinstitucional.mx/jspui/handle/1009/1955
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/7807146
dc.descriptionIn the infant cry analysis, the identification of qualitative features is of great importance, because this provides relevant information to differentiate between normal and pathological cries, which makes important their identification. Qualitative infant cry analysis has been done until now by medical per- sonal through visual inspection of spectrograms and by the auditory study of the cry recordings. In this way, the success of the process depends on the subjective perception of the inspector besides being a very slow task. The information extracted from the perceptive observation of the crying waves recordings is then used as a help to emit diagnosis. With the idea of helping to make the whole process easier and faster we are developing a method to automatically identify, measure and highlight selected qualitative features in infant cry recordings. The processing of this identifier starts with the automatic discovery of infant cry units, which is performed by the use of a threshold applied to the energy of the signal along with another threshold applied to eliminate inspiratory cry segments, when not needed. From all the detected cry units, the process automatically identifies melodic shape, shifts, glides and noise concentra- tion. In this work, we present, besides a quick review of related works, and a description of the perceptive analysis to help diagnosis, the process implementation, some experiments as well as the experimental results obtained.
dc.formatapplication/pdf
dc.languageeng
dc.publisherElsevier Ltd.
dc.relationcitation:Ruiz-Diaz , M.A., et al., (2012). Automatic infant cry analysis for the identification of qualitative features to help opportune diagnosis, Biomedical Signal Processing and Control, (7): 43–49
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rightshttp://creativecommons.org/licenses/by-nc-nd/4.0
dc.subjectinfo:eu-repo/classification/Infant cry analysis/Infant cry analysis
dc.subjectinfo:eu-repo/classification/Automatic cry units detection/Automatic cry units detection
dc.subjectinfo:eu-repo/classification/Automatic qualitative features identification/Automatic qualitative features identification
dc.subjectinfo:eu-repo/classification/cti/1
dc.subjectinfo:eu-repo/classification/cti/12
dc.subjectinfo:eu-repo/classification/cti/1203
dc.subjectinfo:eu-repo/classification/cti/1203
dc.titleAutomatic infant cry analysis for the identification of qualitative features to help opportune diagnosis
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/acceptedVersion
dc.audiencestudents
dc.audienceresearchers
dc.audiencegeneralPublic


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