Video-based automatic baby motion analysis for early neurological disorder diagnosis: state of the art and future directions
Neurodevelopmental disorders (NDD) are impairments of the growth and development of
the brain and/or central nervous system. In the light of clinical findings on early diagnosis of …
the brain and/or central nervous system. In the light of clinical findings on early diagnosis of …
[HTML][HTML] Artificial intelligence and machine learning approaches in cerebral palsy diagnosis, prognosis, and management: a comprehensive review
Cerebral palsy (CP) is a group of disorders that alters patients' muscle coordination, posture,
and movement, resulting in a wide range of deformities. Cerebral palsy can be caused by …
and movement, resulting in a wide range of deformities. Cerebral palsy can be caused by …
ChildPlay: A New Benchmark for Understanding Children's Gaze Behaviour
Gaze behaviors such as eye-contact or shared attention are important markers for
diagnosing developmental disorders in children. While previous studies have looked at …
diagnosing developmental disorders in children. While previous studies have looked at …
Posture-based infant action recognition in the wild with very limited data
Automatic detection of infant actions from home videos could aid medical and behavioral
specialists in the early detection of motor impairments in infancy. However, most computer …
specialists in the early detection of motor impairments in infancy. However, most computer …
Computer Vision Tasks for Ambient Intelligence in Children's Health
Computer vision is a powerful tool for healthcare applications since it can provide objective
diagnosis and assessment of pathologies, not depending on clinicians' skills and …
diagnosis and assessment of pathologies, not depending on clinicians' skills and …
Artificial intelligence detects awareness of functional relation with the environment in 3 month old babies
A recent experiment probed how purposeful action emerges in early life by manipulating
infants' functional connection to an object in the environment (ie, tethering an infant's foot to …
infants' functional connection to an object in the environment (ie, tethering an infant's foot to …
NeoVault: empowering neonatal research through a neonate data hub
Background Stability during early postnatal life in preterm infants is related to better
outcomes. Although vital signs are monitored continuously in Neonatal Intensive Care …
outcomes. Although vital signs are monitored continuously in Neonatal Intensive Care …
ToddlerAct: A Toddler Action Recognition Dataset for Gross Motor Development Assessment
Assessing gross motor development in toddlers is crucial for understanding their physical
development and identifying potential developmental delays or disorders. However, existing …
development and identifying potential developmental delays or disorders. However, existing …
TwinEDA: a sustainable deep-learning approach for limb-position estimation in preterm infants' depth images
Early diagnosis of neurodevelopmental impairments in preterm infants is currently based on
the visual analysis of newborns' motion patterns by trained operators. To help automatize …
the visual analysis of newborns' motion patterns by trained operators. To help automatize …
An accurate estimation of preterm infants' limb pose from depth images using deep neural networks with densely connected atrous spatial convolutions
Continuing monitoring preterm infants' spontaneous motility during and after the
hospitalization is of primary importance to early recognizing preterm-birth neurological …
hospitalization is of primary importance to early recognizing preterm-birth neurological …