Literature DB >> 19036628

High-resolution cry analysis in preterm newborn infants.

C Manfredi1, L Bocchi, S Orlandi, L Spaccaterra, G P Donzelli.   

Abstract

Infant monitoring is a common procedure in clinical practice in neonatal critical care units. A number of vital functions are monitored, such as heart beat, breathing, blood flow, etc. Specifically, preterm and/or low-birth-weight infants often present respiratory problems that require monitoring. These may range from insufficient ventilation to apnoea. One of the most common events that may affect the respiratory flow is crying, a physiological action made by the infant to communicate and draw attention, but, for a preterm infant, this action requires great effort, which may cause distress and even may have an adverse impact on blood oxygenation. Acoustic analysis of newborn infant cry is thus of importance, since it is related to other basic neuro-physiological parameters. Being easy to perform, cheap and completely non-invasive, it can be successfully applied in many circumstances. The newborn infant cry is characterised by very high fundamental frequency (F(0)) and resonance frequency (RFs) values, with abrupt changes and voiced/unvoiced features of very short duration in a single utterance. To deal with such signals, a new user-friendly software tool has been developed, that allows robust tracking of main acoustic parameters on very short and time-varying signal frames. The software developed provides the user with a high-resolution picture of the cry signal characteristics.

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Year:  2008        PMID: 19036628     DOI: 10.1016/j.medengphy.2008.10.003

Source DB:  PubMed          Journal:  Med Eng Phys        ISSN: 1350-4533            Impact factor:   2.242


  4 in total

1.  A flexible analysis tool for the quantitative acoustic assessment of infant cry.

Authors:  Brian Reggiannini; Stephen J Sheinkopf; Harvey F Silverman; Xiaoxue Li; Barry M Lester
Journal:  J Speech Lang Hear Res       Date:  2013-06-19       Impact factor: 2.297

2.  Identification of Diseases in Newborns Using Advanced Acoustic Features of Cry Signals.

Authors:  Yasmina Kheddache; Chakib Tadj
Journal:  Biomed Signal Process Control       Date:  2019-04-01       Impact factor: 3.880

3.  Expiratory and Inspiratory Cries Detection Using Different Signals' Decomposition Techniques.

Authors:  Lina Abou-Abbas; Chakib Tadj; Christian Gargour; Leila Montazeri
Journal:  J Voice       Date:  2016-08-24       Impact factor: 2.009

4.  Extraction of Premature Newborns' Spontaneous Cries in the Real Context of Neonatal Intensive Care Units.

Authors:  Sandie Cabon; Bertille Met-Montot; Fabienne Porée; Olivier Rosec; Antoine Simon; Guy Carrault
Journal:  Sensors (Basel)       Date:  2022-02-25       Impact factor: 3.576

  4 in total

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