Infant Cry Research Articles

Neural activation to infant cry among Latina and non-Latina White mothers

Cultural neuroscience is an emerging framework positing that culture (for example, values, beliefs, practices, and modes of emotional expression) critically informs socialization goals and desired behaviors, which are perhaps accompanied by differential patterns of brain activation. Using fMRI, the current study examines brain activation to infant cry stimuli and matched white noise among 50 first-time biological mothers identifying as Latina or White in the United States. Results showed that brain activation to infant cries in the right posterior insula, left cerebellum, and left auditory were higher for White mothers compared to Latina mothers, p’s < .05. White mothers showed greater activation to cry sounds compared to white noise in the right dorsolateral prefrontal cortex, left somatosensory, right and left premotor cortices, p’s < .05, whereas Latina mothers did not. These brain regions are involved in motor planning, movement, sensory processing, and social information processing. It is important to note that mothers in the two groups did not show differences in stress and behavioral parenting measures. Therefore, Latina and White mothers differentially recruiting brain regions related to infant parenting behaviors indicates the potential role of cultural context in shaping patterns of neural activation. Our exploratory analysis suggests that this difference might be due to greater pre-parenting exposure among Latina mothers to children compared to White mothers. Taken together, although our data did not completely explain the differences in brain activation between groups, findings suggest potential culture-related influences in brain activation occurring in the postpartum period.

Baby Cry Recognition by BCRNet Using Transfer Learning and Deep Feature Fusion

Baby Cry Recognition by BCRNet Using Transfer Learning and Deep Feature Fusion

Supplemental Material for Frustration Responses of Single and Partnered Mothers to Prolonged Infant Crying

Supplemental Material for Frustration Responses of Single and Partnered Mothers to Prolonged Infant Crying

Supplemental Material for Pregnant Women’s Autonomic Responses to an Infant Cry Predict Young Infants’ Behavioral Avoidance During the Still-Face Paradigm

Supplemental Material for Pregnant Women’s Autonomic Responses to an Infant Cry Predict Young Infants’ Behavioral Avoidance During the Still-Face Paradigm

Infant Cry Detection With Lightweight Wavelet Scattering Networks

Infant Cry Detection With Lightweight Wavelet Scattering Networks

A Comparative Analysis between Algorithms CNN Oh, My Baby is Crying

The paper reviewed research work on comparative analysis of baby crying. N numbers of literature papers are reviewed on cross domain, signal processing technique and machine learning techniques. Crying is one of the forms of communication where infants try to communicate with the surrounding people. The paper depicts comparative analysis betweenAlgorithm CNN, KNN and RNN applied on features of sound collected while the baby iscrying on the basis of Body pain, hunger, colic,sleep, Pee and Poop and fake crying of a baby.The existing model monitors the baby crying speech signal and understands the crying signal pattern for Body pain, Hunger, colic, sleep Pee and Poop and Fake crying.

A self-training automatic infant-cry detector

Infant cry is one of the first distinctive and informative life signals observed after birth. Neonatologists and automatic assistive systems can analyse infant cry to early-detect pathologies. These analyses extensively use reference expert-curated databases containing annotated infant-cry audio samples. However, these databases are not publicly accessible because of their sensitive data. Moreover, the recorded data can under-represent specific phenomena or the operational conditions required by other medical teams. Additionally, building these databases requires significant investments that few hospitals can afford. This paper describes an open-source workflow for infant-cry detection, which identifies audio segments containing high-quality infant-cry samples with no other overlapping audio events (e.g. machine noise or adult speech). It requires minimal training because it trains an LSTM-with-self-attention model on infant-cry samples automatically detected from the recorded audio through cluster analysis and HMM classification. The audio signal processing uses energy and intonation acoustic features from 100-ms segments to improve spectral robustness to noise. The workflow annotates the input audio with intervals containing infant-cry samples suited for populating a database for neonatological and early diagnosis studies. On 16 min of hospital phone-audio recordings, it reached sufficient infant-cry detection accuracy in 3 neonatal care environments (nursery—69%, sub-intensive—82%, intensive—77%) involving 20 infants subject to heterogeneous cry stimuli, and had substantial agreement with an expert’s annotation. Our workflow is a cost-effective solution, particularly suited for a sub-intensive care environment, scalable to monitor from one to many infants. It allows a hospital to build and populate an extensive high-quality infant-cry database with a minimal investment.

Shaken Baby Syndrome Education for Mothers Awaiting Appointments in Rural OB/GYN Office

ABSTRACT A partnership between a nursing program and a rural obstetric office provided education to pregnant and postpartum women about coping with infant crying and the dangers of shaking a baby. Undergraduate nursing students delivered the Period of PURPLE Crying (PURPLE) educational program to 148 mothers. Change in knowledge about infant crying and the community clinical experience was evaluated. Pre and post intervention data were collected. Descriptive statistics indicated higher scores on mothers’ posttest for knowledge about normal newborn crying behaviors and coping strategies. Students further developed the role of educator and researcher. These findings suggest the intervention contributed to mothers’ improved knowledge about infant crying. Results of the pilot study are encouraging because the intervention had a significant effect on mothers’ knowledge about infant crying and Shaken Baby Syndrome (SBS).

A magnetoencephalography study of first-time mothers listening to infant cries.

Studies using magnetoencephalography (MEG) have identified the orbitofrontal cortex (OFC) to be an important early hub for a "parental instinct" in the brain. This complements the finding from functional magnetic resonance imaging studies linking reward, emotion regulation, empathy, and mentalization networks to the "parental brain." Here, we used MEG in 43 first-time mothers listening to infant and adult cry vocalizations to investigate the link with mother-infant postpartum bonding scores and their level of sleep deprivation (assessed using both actigraphy and sleep logs). When comparing brain responses to infant versus adult cry vocalizations, we found significant differences at around 800-1,000ms after stimuli onset in the primary auditory cortex, superior temporal gyrus, hippocampal areas, insula, precuneus supramarginal gyrus, postcentral gyrus, and posterior cingulate gyrus. Importantly, mothers with weaker bonding scores showed decreased brain responses to infant cries in the auditory cortex, middle and superior temporal gyrus, OFC, hippocampal areas, supramarginal gyrus, and inferior frontal gyrus at around 100-300ms after the stimulus onset. In contrast, we did not find correlations with sleep deprivation scores. The significant decreases in brain processing of an infant's distress signals could potentially be a novel signature of weaker infant bonding in new mothers and should be investigated in vulnerable populations.

Increased Nuchal Translucency Without Aneuploidy in a Fetus: Abnormal Postnatal Radiograph and a Novel Mutation.

Increased Nuchal Translucency Without Aneuploidy in a Fetus: Abnormal Postnatal Radiograph and a Novel Mutation.

오순택 동시에 나타난 공기적 상상력

The poet, Oh Soon-taek pursues beauty, purity, and brightness, features of human’s nature in his children’s poetry. There are frangrances and sounds on the foundation of the beauty, purity, and brightness. He makes his readers dream new things and opens an entry for them to experience new world of imagination, through olfactory and auditory images. Fresh airy embodiment provides readers invigoration, definitely. Therefore, this study aims to analyze olfactory and auditory languages focusing on the entire poems of Oh Soon-taek and to trace airy imagination expressed in his children’s poetry. Though the poetic words related to fragrances are not signified in the poet’s works, he is not afraid of trying freely to olfactoryize hearing and to auditoryize olfaction. In addition, he is a subject who experiences more diverse auditory illusions than actual hearing and nature is like a mouth containing every auditory element to him. As mentioned above, the poet puts richly attractive fragrances and sounds in nature with his own imagination, and they are tied in his fantasy world as embodiment of infinite words and images in spite of no forms. Like this, Oh Soon-taek’s poetry showing the images of hearing and olfaction at the same time awake all things and make them live and breathe. There are fun as well as philosophy of life in the poet’s works. They open our eyes to forgotten realities and show freedom when feeling lightness from the materials offering happiness of small things. This is well expressed in Bell Sounds which hopes “all the sounds in the world will be pure like first cry of a newborn baby.” Sounds have no weight. Many things are put down, and then, there is a clean sound. How much this poem resounds! When reading the poet Oh Soon-taek’s poetry, our ears become clean. When we would rather hear it than read it through eyes, we seem to hear pure and bright sounds in the world. In addition, his collection of poems expressing love with fragrances contains lots of perfumes of flowers, grasses, and trees, awaking his readers’ olfactory sense. Someone says sounds last longest and fragrances last for a long and long time. His children’s poems reflecting universality of human emotions will be remembered as sounds or as fragrances to us.

Intensity of Maternal Anxiety and Depressive Symptoms in Pregnancy Is Associated with Infant Emotional Regulation Problems.

This study aimed to investigate the effects of the intensity and directionality of antenatal maternal depressive and anxiety symptoms on infant negative affectivity and crying, also taking into account potential confounders. The role of socioeconomic status (SES) as a possible moderating factor of the association between antenatal maternal distress and infant negative outcomes was also explored. More than one hundred women filled in the Edinburgh Postnatal Depression Scale and the State-Trait Anxiety Inventory to assess depressive and anxiety symptoms, respectively, during the third trimester of pregnancy and three months after delivery. Mothers also filled in the Infant Behavior Questionnaire and a parental diary to evaluate negative affectivity and crying, respectively, when their infants were 3 months old. SES was assessed through the Hollingshead classification. The intensity of antenatal maternal symptoms and SES were associated with infant negative affectivity, but not with crying. However, SES moderated the association between the intensity of maternal symptoms and infant crying. The direction of maternal symptoms (anxiety versus depression) was not associated with both infant negative affectivity and crying. Our findings contribute to elucidating the role played by the intensity of maternal stress in pregnancy-alone and in interaction with SES-in determining individual differences in infant emotional regulation, thus emphasizing the importance of timely psychological interventions for pregnant women who experience psychological distress.

Newborn Cry-Based Diagnostic System to Distinguish between Sepsis and Respiratory Distress Syndrome Using Combined Acoustic Features.

Crying is the only means of communication for a newborn baby with its surrounding environment, but it also provides significant information about the newborn's health, emotions, and needs. The cries of newborn babies have long been known as a biomarker for the diagnosis of pathologies. However, to the best of our knowledge, exploring the discrimination of two pathology groups by means of cry signals is unprecedented. Therefore, this study aimed to identify septic newborns with Neonatal Respiratory Distress Syndrome (RDS) by employing the Machine Learning (ML) methods of Multilayer Perceptron (MLP) and Support Vector Machine (SVM). Furthermore, the cry signal was analyzed from the following two different perspectives: 1) the musical perspective by studying the spectral feature set of Harmonic Ratio (HR), and 2) the speech processing perspective using the short-term feature set of Gammatone Frequency Cepstral Coefficients (GFCCs). In order to assess the role of employing features from both short-term and spectral modalities in distinguishing the two pathology groups, they were fused in one feature set named the combined features. The hyperparameters (HPs) of the implemented ML approaches were fine-tuned to fit each experiment. Finally, by normalizing and fusing the features originating from the two modalities, the overall performance of the proposed design was improved across all evaluation measures, achieving accuracies of 92.49% and 95.3% by the MLP and SVM classifiers, respectively. The MLP classifier was outperformed in terms of all evaluation measures presented in this study, except for the Area Under Curve of Receiver Operator Characteristics (AUC-ROC), which signifies the ability of the proposed design in class separation. The achieved results highlighted the role of combining features from different levels and modalities for a more powerful analysis of the cry signals, as well as including a neural network (NN)-based classifier. Consequently, attaining a 95.3% accuracy for the separation of two entangled pathology groups of RDS and sepsis elucidated the promising potential for further studies with larger datasets and more pathology groups.

Educational interventions to prevent paediatric abusive head trauma in babies younger than one year old: A systematic review and meta-analyses

BackgroundPaediatric abusive head trauma (AHT) occurs in young children due to violent shaking or blunt impact. Educational and behavioural programmes modifying parent/infant interactions may aid primary prevention. This systematic review aims to assess the effectiveness of such interventions to prevent AHT in infants. MethodsWe searched Embase, MEDLINE, PsycINFO, The Cochrane library, CINAHL databases and trial registries to September 2021, for studies assessing the effectiveness of educational and behavioural interventions in preventing AHT. Eligible interventions had to include messaging about avoiding or dangers of infant shaking. Randomised controlled trials (RCTs) reporting results for primary (AHT, infant shaking) or secondary outcomes (including parental responses to infant crying, mental wellbeing), and non-randomised studies (NRSs) reporting primary outcomes were included. Evidence from combinable studies was synthesised using random-effects meta-analyses. Certainty of evidence was assessed using GRADE framework. PROSPERO registration CRD42020195644. FindingsOf 25 identified studies, 16 were included in meta-analyses. Five NRSs reported results for AHT, of which four were meta-analysed (summary odds ratio [OR] 0.95, 95 % confidence intervals [CI] 0.80–1.13). Two studies assessed self-reported shaking (one cluster-RCT, OR 0.11, 95 % CI 0.02–0.53; one cohort study, OR 0.36, 95 % CI 0.20–0.64, not pooled). Meta-analyses of secondary outcomes demonstrated marginal improvements in parental response to inconsolable crying (summary mean difference 1.58, 95 % CI 0.11–3.06, on a 100-point scale) and weak evidence that interventions increased walking away from crying infants (summary incidence rate ratio 1.52, 95 % CI 0.94–2.45). No intervention effects were found in meta-analyses of parental mental wellbeing or other responses to crying. InterpretationLow certainty evidence suggests that educational programmes for AHT prevention are not effective in preventing AHT. There is low to moderate certainty evidence that educational interventions have no effect or only marginally improve some parental responses to infant crying.

A Novel Temporal Attentive-Pooling based Convolutional Recurrent Architecture for Acoustic Signal Enhancement

Removing background noise from acoustic observations to obtain clean signals is an important research topic regarding numerous real acoustic applications. Owing to their strong model capacity in function mapping, deep neural network-based algorithms have been successfully applied in target signal enhancement in acoustic applications. As most target signals carry semantic information encoded in a hierarchal structure in short- and long-term contexts, noise may distort such structures nonuniformly. In most deep neural network-based algorithms, such local and global effects are not explicitly considered in a modeling architecture for signal enhancement. In this article, we propose a temporal attentive pooling (TAP) mechanism combined with a conventional convolutional recurrent neural network (CRNN) model, called TAP-CRNN, which explicitly considers both global and local information for acoustic signal enhancement (ASE). In the TAP-CRNN model, we first use a convolution layer to extract local information from acoustic signals and a recurrent neural network (RNN) architecture to characterize temporal contextual information. Second, we exploit a novel attention mechanism to contextually process salient regions of noisy signals. We evaluate the proposed ASE system using an infant cry dataset. The experimental results confirm the effectiveness of the proposed TAP-CRNN, compared with related deep neural network models, and demonstrate that the proposed TAP-CRNN can more effectively reduce noise components from infant cry signals with unseen background noises at different signal-to-noise levels. We further tested the TAP-CRNN ASE system on a downstream infant cry detection (ICD) system, which determines whether a sound segment is involved in an infant cry event. Experimental results show that TAP-CRNN ASE can effectively reduce the noise components, thereby improving the performance of ICD under noisy conditions.

Smart Sound System Applied for the Extensive Care of People with Hearing Impairment

We, as normal people, have access to a potent communication tool, which is sound. Although we can continuously gather, analyse, and interpret sounds thanks to our sense of hearing, it can be challenging for people with hearing impairment to perceive their surroundings through sound. Also known as PWHI (People with Hearing Impairment). Auditory/phonic impairment is one of the most prevailing sensory deficits in humans at present. Fortunately, there is room to apply a solution to this issue, given the development of technology. Our project involves capturing ambient sounds from the user’s surroundings and notifying the user through a mobile application using IoT and Deep Learning. Its architecture offers sound recognition using a tool, such as a microphone, to capture sounds from the user's surroundings. These sounds are identified and categorized as ambient sounds, like a doorbell, baby cry, and dog barking; as well as emergency-related sounds, such as alarms, sirens, etc.

A method to soothe and promote sleep in crying infants utilizing the transport response

Approximately 20%-30% of infants cry excessively and exhibit sleep difficulties for no apparent reason, causing parental stress and even triggering impulsive child maltreatment in a small number of cases.1-8 While several sleep training methods or parental education programs may provide long-term improvement of infant cry and sleep problems, there is yet to be a conclusive recommendation for on-site behavioral interventions.9-13 Previously we have reported that brief carrying of infants transiently reduces infant cry via the transport response, a coordinated set of vagal activation and behavioral calming conserved in altricial mammals.14-18 In this study, we disentangled complex infant responses to maternal holding and transport by combining subsecond-scale, event-locked physiological analyses with dynamic mother-infant interactions. Infant cry was attenuated either by maternal carrying or by reciprocal motion provided by a moving cot, but not by maternal holding. Five-minute carrying promoted sleep for crying infants even in the daytime when these infants were usually awake, but not for non-crying infants. Maternal laydown of sleeping infants into a cot exerted bimodal effects, either interrupting or deepening the infants' sleep. During laydown, sleeping infants were alerted most consistently by the initiation of maternal detachment, then calmed after the completion of maternal detachment in a successful laydown. Finally, the sleep outcome after laydown was associated with the sleep duration before the laydown onset. These data propose a "5-min carrying, 5- to 8- min sitting" scheme for attending to infant cry and sleep difficulties, which should be further substantiated in future studies. VIDEO ABSTRACT.

Validating a model to detect infant crying from naturalistic audio.

Human infant crying evolved as a signal to elicit parental care and actively influences caregiving behaviors as well as infant-caregiver interactions. Automated cry detection algorithms have become more popular in recent decades, and while some models exist, they have not been evaluated thoroughly on daylong naturalistic audio recordings. Here, we validate a novel deep learning cry detection model by testing it in assessment scenarios important to developmental researchers. We also evaluate the deep learning model's performance relative to LENA's cry classifier, one of the most commonly used commercial software systems for quantifying child crying. Broadly, we found that both deep learning and LENA model outputs showed convergent validity with human annotations of infant crying. However, the deep learning model had substantially higher accuracy metrics (recall, F1, kappa) and stronger correlations with human annotations at all timescales tested (24 h, 1 h, and 5 min) relative to LENA. On average, LENA underestimated infant crying by 50 min every 24 h relative to human annotations and the deep learning model. Additionally, daily infant crying times detected by both automated models were lower than parent-report estimates in the literature. We provide recommendations and solutions for leveraging automated algorithms to detect infant crying in the home and make our training data and model code open source and publicly available.

Daily skin-to-skin contact and crying and sleeping in healthy full-term infants: A randomized controlled trial.

This randomized controlled trial (NTR5697) examined the effects of a 5-week daily skin-to-skin contact (SSC) intervention, compared with care-as-usual, on full-term infant crying and sleeping duration during the first 12 weeks postnatally (secondary outcomes of this trial). This trial included 116 Dutch healthy mothers and their full-term infants. SSC mothers were instructed to provide 1 hr daily of SSC for the first 5 weeks postpartum. Intention-to-treat analyses revealed no group differences in infant crying (i.e., total duration and mean bout length) and sleeping (i.e., total duration and mean bout length). Per-protocol analyses, including only the SSC dyads who adhered to SSC guidelines, indicated that SSC reduced infant total crying duration and the crying bout length. Similarly, dose-response analyses indicated that more SSC minutes were associated with less infant crying (i.e., shorter total duration and bout length) and longer total sleeping duration, especially when the infant was younger. No group differences and associations were found with sleeping bout length. Mother-infant SSC, when performed regularly, may be a cost-effective intervention to reduce infant crying and potentially also extend infant sleep duration. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Integral Ecology As Theosemiotic: A Case For A Pragmatist Theological Ethics

Integral Ecology As Theosemiotic: A Case For A Pragmatist Theological Ethics