[HTML][HTML] Healthcare applications of single camera markerless motion capture: a scoping review
Background Single camera markerless motion capture has the potential to facilitate at home
movement assessment due to the ease of setup, portability, and affordable cost of the …
movement assessment due to the ease of setup, portability, and affordable cost of the …
[HTML][HTML] 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 …
Development and validation of a deep learning method to predict cerebral palsy from spontaneous movements in infants at high risk
Importance Early identification of cerebral palsy (CP) is important for early intervention, yet
expert-based assessments do not permit widespread use, and conventional machine …
expert-based assessments do not permit widespread use, and conventional machine …
A pose-based feature fusion and classification framework for the early prediction of cerebral palsy in infants
The early diagnosis of cerebral palsy is an area which has recently seen significant multi-
disciplinary research. Diagnostic tools such as the General Movements Assessment (GMA) …
disciplinary research. Diagnostic tools such as the General Movements Assessment (GMA) …
Neuromotor repertoires in infants exposed to maternal COVID-19 during pregnancy: a cohort study
VF Martinez, D Zhang, S Paiola, T Mok, MC Cambou… - BMJ open, 2023 - bmjopen.bmj.com
Objective To evaluate neuromotor repertoires and developmental milestones in infants
exposed to antenatal COVID-19. Design Longitudinal cohort study. Setting Hospital-based …
exposed to antenatal COVID-19. Design Longitudinal cohort study. Setting Hospital-based …
Semi-supervised body parsing and pose estimation for enhancing infant general movement assessment
General movement assessment (GMA) of infant movement videos (IMVs) is an effective
method for early detection of cerebral palsy (CP) in infants. We demonstrate in this paper …
method for early detection of cerebral palsy (CP) in infants. We demonstrate in this paper …
[HTML][HTML] Deep learning-based quantitative analyses of spontaneous movements and their association with early neurological development in preterm infants
This study aimed to develop quantitative assessments of spontaneous movements in high-
risk preterm infants based on a deep learning algorithm. Video images of spontaneous …
risk preterm infants based on a deep learning algorithm. Video images of spontaneous …
Aggpose: Deep aggregation vision transformer for infant pose estimation
X Cao, X Li, L Ma, Y Huang, X Feng, Z Chen… - arXiv preprint arXiv …, 2022 - arxiv.org
Movement and pose assessment of newborns lets experienced pediatricians predict
neurodevelopmental disorders, allowing early intervention for related diseases. However …
neurodevelopmental disorders, allowing early intervention for related diseases. However …
[HTML][HTML] Markerless human pose estimation for biomedical applications: a survey
Markerless Human Pose Estimation (HPE) proved its potential to support decision making
and assessment in many fields of application. HPE is often preferred to traditional marker …
and assessment in many fields of application. HPE is often preferred to traditional marker …
Application of artificial intelligence in infant movement classification: A reliability and validity study in infants who were full-term and preterm
SC Lin, E Chandra, PN Tsao, WC Liao… - Physical …, 2024 - academic.oup.com
Objective Preterm infants are at high risk of neuromotor disorders. Recent advances in
digital technology and machine learning algorithms have enabled the tracking and …
digital technology and machine learning algorithms have enabled the tracking and …