Video-based automatic baby motion analysis for early neurological disorder diagnosis: state of the art and future directions

M Leo, GM Bernava, P Carcagnì, C Distante - Sensors, 2022 - mdpi.com
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 …

Development and validation of a deep learning method to predict cerebral palsy from spontaneous movements in infants at high risk

D Groos, L Adde, S Aubert, L Boswell… - JAMA network …, 2022 - jamanetwork.com
Importance Early identification of cerebral palsy (CP) is important for early intervention, yet
expert-based assessments do not permit widespread use, and conventional machine …

Machine learning of infant spontaneous movements for the early prediction of cerebral palsy: A multi-site cohort study

EAF Ihlen, R Støen, L Boswell, RA de Regnier… - Journal of clinical …, 2019 - mdpi.com
Background: Early identification of cerebral palsy (CP) during infancy will provide
opportunities for early therapies and treatments. The aim of the present study was to present …

In-Motion-App for remote General Movement Assessment: A multi-site observational study

L Adde, A Brown, C Van Den Broeck, K DeCoen… - BMJ open, 2021 - bmjopen.bmj.com
Objectives To determine whether videos taken by parents of their infants' spontaneous
movements were in accordance with required standards in the In-Motion-App, and whether …

Writhing movement detection in newborns on the second and third day of life using pose-based feature machine learning classification

I Doroniewicz, DJ Ledwoń, A Affanasowicz… - Sensors, 2020 - mdpi.com
Observation of neuromotor development at an early stage of an infant's life allows for early
diagnosis of deficits and the beginning of the therapeutic process. General movement …

Automatic detection of epileptic seizures in neonatal intensive care units through EEG, ECG and video recordings: a survey

B Olmi, L Frassineti, A Lanata, C Manfredi - IEEE Access, 2021 - ieeexplore.ieee.org
In Neonatal Intensive Care Units (NICUs), the early detection of neonatal seizures is of
utmost importance for a timely, effective and efficient clinical intervention. The continuous …

Defining and distinguishing infant behavioral states using acoustic cry analysis: is colic painful?

JJ Parga, S Lewin, J Lewis, D Montoya-Williams… - Pediatric …, 2020 - nature.com
Background To characterize acoustic features of an infant's cry and use machine learning to
provide an objective measurement of behavioral state in a cry-translator. To apply the cry …

A comprehensive and context-sensitive neonatal pain assessment using computer vision

G Zamzmi, CY Pai, D Goldgof, R Kasturi… - IEEE Transactions …, 2019 - ieeexplore.ieee.org
Infants receiving care in the Neonatal Intensive Care Unit (NICU) experience several painful
procedures during their hospitalization. Assessing neonatal pain is difficult because the …

Audio-and video-based estimation of the sleep stages of newborns in neonatal intensive care unit

S Cabon, F Porée, A Simon, B Met-Montot… - … Signal Processing and …, 2019 - Elsevier
Objective Premature babies have several immature functions and begin their life under high
medical supervision. Since the sleep organization differs across postmenstrual age, its …

Convolutional neural networks for audio-based continuous infant cry monitoring at home

J Xie, X Long, RA Otte, C Shan - IEEE Sensors Journal, 2021 - ieeexplore.ieee.org
Cry is an important signal in early infancy for parents to understand needs of their baby and
thereby to provide timely parenting/soothing or to be reassured. Thanks to the recent …