[HTML][HTML] The future of General Movement Assessment: The role of computer vision and machine learning–A scoping review
Background The clinical and scientific value of Prechtl general movement assessment
(GMA) has been increasingly recognised, which has extended beyond the detection of …
(GMA) has been increasingly recognised, which has extended beyond the detection of …
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 …
Novel AI driven approach to classify infant motor functions
S Reich, D Zhang, T Kulvicius, S Bölte… - Scientific Reports, 2021 - nature.com
The past decade has evinced a boom of computer-based approaches to aid movement
assessment in early infancy. Increasing interests have been dedicated to develop AI driven …
assessment in early infancy. Increasing interests have been dedicated to develop AI driven …
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 …
Automating General Movements Assessment with quantitative deep learning to facilitate early screening of cerebral palsy
Q Gao, S Yao, Y Tian, C Zhang, T Zhao, D Wu… - Nature …, 2023 - nature.com
Abstract The Prechtl General Movements Assessment (GMA) is increasingly recognized for
its role in evaluating the integrity of the developing nervous system and predicting motor …
its role in evaluating the integrity of the developing nervous system and predicting motor …
SenseHunger: Machine learning approach to hunger detection using wearable sensors
The perception of hunger and satiety is of great importance to maintaining a healthy body
weight and avoiding chronic diseases such as obesity, underweight, or deficiency …
weight and avoiding chronic diseases such as obesity, underweight, or deficiency …
Sleep stage classification in children using self-attention and Gaussian noise data augmentation
The analysis of sleep stages for children plays an important role in early diagnosis and
treatment. This paper introduces our sleep stage classification method addressing the …
treatment. This paper introduces our sleep stage classification method addressing the …
Early brain activity: translations between bedside and laboratory
Neural activity is both a driver of brain development and a readout of developmental
processes. Changes in neuronal activity are therefore both the cause and consequence of …
processes. Changes in neuronal activity are therefore both the cause and consequence of …
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 …
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 …