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

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 cross-validation, 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

An overview of attachment theory and the role of the child and family health nurse in supporting early infant-parent attachment

The relationship an infant has with their primary caregiver (in our society, this is usually the mother) has a profound impact on the infant’s future development. It is now well recognised that experiences in the first weeks and months of life help shape the developing brain; the most important of these experiences is the relationship between the infant and their caregiver. One of the earliest tasks of infancy is for the infant to be able to express and regulate their emotions; they learn to do this with the help of a sensitive and responsive caregiver. The foundation for their future mental health is based on this capacity for emotional regulation. Secure attachment relationships that involve opportunities for play, everyday activities and sharing of emotions, facilitate optimal brain development and stimulate the infant’s curiosity to explore and learn. The earliest family relationships are where infants learn how to interact and relate, and this has implications for their sense of connectedness to others and for future participation in society.  ----------------------------- Child and family health nurses are well positioned to provide information, guidance and encouragement to parents in forming responsive and sensitive relationships with their babies. Research indicates that providing stable, responsive and nurturing relationships (attachment relationships) in the early years of life can prevent or even reverse the damaging effects of early life stress with lifelong benefits for learning, behaviour and health. Essentially, the role of the parent is one of being available, ready to respond when called upon, to encourage, perhaps to assist, but to intervene only when clearly necessary (Bowlby, 1988).&nbsp

Psychosocial factors in functional articulation disorders revealed through parent interviews

Thesis (Ed.M.)--Boston Universit

Progeny, June 2013, Vol 29, no.1

This newsletter from The Department of Public Health about perinatal health care and statistics

Observation, reflection and containment: A psychoanalytic approach to work with parents and children under five.

The contemporary relevance of psychoanalysis is being increasingly questioned; Off the Couch challenges this view, demonstrating that psychoanalytic thinking and its applications are both innovative and relevant, in particular to the management and treatment of more disturbed and difficult to engage patient groups. Chapters address: clinical applications in diverse settings across the age range the relevance of psychoanalytic thinking to the practice of CBT, psychosomatics and general psychiatry the contribution of psychoanalytic thinking to mental health policy and the politics of conflict and mediation. This book suggests that psychoanalysis has a vital position within the public health sector and discusses how it can be better utilised in the treatment of a range of mental health problems. It also highlights the role of empirical research in providing a robust evidence base. Off the Couch will be essential reading for those practicing in the field of mental health and will also be useful for anyone involved in the development of mental health and public policies. It will ensure that practitioners and supervisors have a clear insight into how psychoanalysis can be applied in general healthcare

Neuroplasticity in Young Age: Computer-Based Early Neurodevelopment Classifier

Neurodevelopmental syndromes, a continuously growing issue, are impairments in the growth and development of the brain and CNS which are pronounced in a variety of emotional, cognitive, motor and social skills. Early assessment and detection of typical, clinically correlated early signs of developmental abnormalities is crucial for early and effective intervention, supporting initiation of early treatment and minimizing neurological and functional deficits. Successful early interventions would then direct to early time windows of higher neural plasticity. Various syndromes are reflected in early vocal and motor characteristics, making them suitable indicators of an infant’s neural development. Performance of the computerized classifiers we developed shows approximately 90% accuracy on a database of diagnosed babies. The results demonstrate the potential of vocal and motor analysis for computer-assisted early detection of neurodevelopmental insults

Every Newborn INDEPTH (EN-INDEPTH) Study - Additional Materials

The Every Newborn- International Network for the Demographic Evaluation of Populations and their Health (EN-INDEPTH) study was a cross-sectional, multi-site study conducted between July 2017 and August 2018, including a survey of 69,176 women aged 15-49 years in five Health and Demographic Surveillance Sites (HDSS) within the INDEPTH Network: Bandim in Guinea-Bissau, Dabat in Ethiopia, IgangaMayuge in Uganda, Matlab in Bangladesh and Kintampo in Ghana. The primary objective of the study was to compare two methods of retrospective recording of pregnancy outcomes in surveys: Full Birth History with additional questions on pregnancy losses (FBH+), and Full Pregnancy History (FPH). A secondary objective was to identify barriers and enablers to the reporting of pregnancy and adverse pregnancy outcomes during the survey and HDSS data collection, and particularly if these differ for the two survey questionnaire methods (FBH+ and FPH). The study also evaluated the use of existing/modified survey questions to capture the fertility intentions and selected pregnancy outcomes (Termination of Pregnancy, miscarriage, birthweight, gestational age), and birth and death certification