High-resolution cry analysis in preterm newborn infants

Manfredi, Claudia; Bocchi, Leonardo; Orlandi, Silvia; Spaccaterra, L.; Donzelli, Gianpaolo

doi:10.1016/j.medengphy.2008.10.003

Cited by 35 publications

(48 citation statements)

References 12 publications

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“…The signs and symptoms of ASD vary widely, especially the child's social communication development which is important for spotting early signs of ASD. Recently, there has been an increasing interest in vocal development of children with ASD and typically developing (TD) children, in particular crying (Esposito, Nakazawa, Venuti, & Bornstein, 2013;Esposito, Venuti, & Bornstein, 2011;Esposito & Venuti, 2009b, 2010bFort & Manfredi, 1998;LaGasse, Neal, & Lester, 2005;Manfredi, Bocchi, Orlandi, Spaccaterra, & Donzelli, 2009;Oller et al, 2010;Orlandi, Manfredi, Bocchi, & Scattoni, 2012;Reyes-Galaviz, Cano-Ortiz, & Reyes-García, 2008;Sheinkopf, Iverson, Rinaldi, & Lester, 2012;Venuti et al, 2012). Several studies reported that children with ASD express atypical patterns of distress vocalization such as higher fundamental frequency (f0),…”

Section: Crying In Typical and Atypical Developmentmentioning

confidence: 99%

Physiological and self-report responses of parents of children with autism spectrum disorder to children crying

Ozturk

Bizzego

Esposito

et al. 2018

Research in Developmental Disabilities

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Little is known about the physiological response of parents of children with Autism Spectrum Disorder (ASD) to crying of children who have already received the diagnosis of ASD. This study aimed to compare cardiac dynamics via Inter-Beat Interval (IBI) and self-reported emotional states of parents of children with ASD and of parents with typically developing (TD) children while listening to crying of children with ASD (ASD cry) and of typically developing children (TD cry). Analyses revealed higher IBI in parents of children with ASD than IBI in parents of TD children while listening to both cry groups; however no differences on self-reported emotional states were observed. Parents of children with ASD were calmer (higher IBI) than parents of TD children while listening to crying. However, ASD cry did not elicit different IBI compared to TD cry. ASD cry and TD cry were differentiated based on parents' self-responses about what they felt during the listening of crying, their physiological responses showed no differences. These results highlight the similarities and differences between self-reported emotional states and physiological responses of parents of children with ASD, and also point to the importance of monitoring parents' physiological responses in addition to their subjective responses.

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Section: Crying In Typical and Atypical Developmentmentioning

confidence: 99%

Physiological and self-report responses of parents of children with autism spectrum disorder to children crying

Ozturk

Bizzego

Esposito

et al. 2018

Research in Developmental Disabilities

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“…39 Thanks to its high-resolution characteristics cry analysis is carried out here through the BioVoice tool. 16 BioVoice is applicable to the analysis of a wide range of voice signals also lasting several minutes. It has been successfully compared with most commonly used software tools on synthesized signals.…”

Section: Databasementioning

confidence: 99%

“…Most of the studies investigated possible differences in infant gender, their neurophysiological maturity, and risks of brain damage for preterm infants caused by deoxygenation due to prolonged crying. [10][11][12][13][14][15][16] In general, the automatic infant cry classification process is a pattern recognition problem. From the infant's cry (input pattern), the goal was to classify the kind of cry or pathology detected on the baby.…”

Section: Introductionmentioning

confidence: 99%

“…To this aim, a robust tool (BioVoice) specifically developed for the acoustical analysis of newborn cry is applied 16 that provides 22 acoustical parameters both in time and frequency domain. The proposed classification method allows pointing out the relevant cry features capable to assess differences between preterm and full-term newborns with about 87% of accuracy.…”

Section: Introductionmentioning

confidence: 99%

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Application of Pattern Recognition Techniques to the Classification of Full-Term and Preterm Infant Cry

et al. 2016

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Summary: Objectives. Scientific and clinical advances in perinatology and neonatology have enhanced the chances of survival of preterm and very low weight neonates. Infant cry analysis is a suitable noninvasive complementary tool to assess the neurologic state of infants particularly important in the case of preterm neonates. This article aims at exploiting differences between full-term and preterm infant cry with robust automatic acoustical analysis and data mining techniques. Study design. Twenty-two acoustical parameters are estimated in more than 3000 cry units from cry recordings of 28 full-term and 10 preterm newborns. Methods. Feature extraction is performed through the BioVoice dedicated software tool, developed at the Biomedical Engineering Lab, University of Firenze, Italy. Classification and pattern recognition is based on genetic algorithms for the selection of the best attributes. Training is performed comparing four classifiers: Logistic Curve, Multilayer Perceptron, Support Vector Machine, and Random Forest and three different testing options: full training set, 10-fold crossvalidation, and 66% split. Results. Results show that the best feature set is made up by 10 parameters capable to assess differences between preterm and full-term newborns with about 87% of accuracy. Best results are obtained with the Random Forest method (receiver operating characteristic area, 0.94). Conclusions. These 10 cry features might convey important additional information to assist the clinical specialist in the diagnosis and follow-up of possible delays or disorders in the neurologic development due to premature birth in this extremely vulnerable population of patients. The proposed approach is a first step toward an automatic infant cry recognition system for fast and proper identification of risk in preterm babies.

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“…These features were shown to improve results as pitch variations are tracked more precisely and proved effective in many applications, with enhanced results with respect to classic approaches as far as resolution is concerned. 20,21,29,30 Specifically, a favorable comparison with other methods (Praat, Ampex, and multidimensional voice program (MDVP)) performed on synthetic signals is provided in [15][16][17][18][19] as far as voiced parts selection, jitter and noise estimation are concerned. Coordinates of the PSD maxima (three or five) are provided along with their mean and SD value.…”

Section: E3mentioning

confidence: 99%

Automatic Assessment of Acoustic Parameters of the Singing Voice: Application to Professional Western Operatic and Jazz Singers

et al. 2015

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Summary: Introduction. The obvious perceptual differences between various singing styles like Western operatic and jazz rely on specific dissimilarities in vocal technique. The present study focuses on differences in vibrato acoustics and in singer's formant as analyzed by a novel software tool, named BioVoice, based on robust high-resolution and adaptive techniques that have proven its validity on synthetic voice signals. Material and Methods. A total of 48 professional singers were investigated (29 females; 19 males; 29 Western operatic; and 19 jazz). They were asked to sing ''a cappella,'' but with artistic expression, a well-known musical phrase from Gershwin's Porgy and Bess, in their own style: either operatic or jazz. A specific sustained note was extracted for detailed vibrato analysis. Beside rate (s À1 ) and extent (cents), duration (seconds) and regularity were computed. Two new concepts are introduced: vibrato jitter and vibrato shimmer, by analogy with the traditional jitter and shimmer of voice signals. For the singer's formant, on the same sustained tone, the ratio of the acoustic energy in formants 1-2 to the energy in formants 3, 4, and 5 was automatically computed, providing a quality ratio (QR). Results. Vibrato rates did not differ among groups. Extent was significantly larger in operatic singers, particularly females. Vibrato jitter and vibrato shimmer were significantly smaller in operatic singers. Duration of vibrato was also significantly longer in operatic singers. QR was significantly lower in male operatic singers. Conclusions. Some vibrato characteristics (extent, regularity, and duration) very clearly differentiate the Western operatic singing style from the jazz singing style. The singer's formant is typical of male operatic singers. The new software tool is well suited to provide useful feedback in a pedagogical context.

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High-resolution cry analysis in preterm newborn infants

Cited by 35 publications

References 12 publications

Physiological and self-report responses of parents of children with autism spectrum disorder to children crying

Physiological and self-report responses of parents of children with autism spectrum disorder to children crying

Application of Pattern Recognition Techniques to the Classification of Full-Term and Preterm Infant Cry

Automatic Assessment of Acoustic Parameters of the Singing Voice: Application to Professional Western Operatic and Jazz Singers

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