All Outputs (6)

Enhanced Infant Movement Analysis Using Transformer-Based Fusion of Diverse Video Features for Neurodevelopmental Monitoring (2024)
Journal Article
Turner, A., & Sharkey, D. (2024). Enhanced Infant Movement Analysis Using Transformer-Based Fusion of Diverse Video Features for Neurodevelopmental Monitoring. Sensors, 24(20), Article 6619. https://doi.org/10.3390/s24206619

Neurodevelopment is a highly intricate process, and early detection of abnormalities is critical for optimizing outcomes through timely intervention. Accurate and cost-effective diagnostic methods for neurological disorders, particularly in infants,... Read More about Enhanced Infant Movement Analysis Using Transformer-Based Fusion of Diverse Video Features for Neurodevelopmental Monitoring.

The Classification of Movement in Infants for the Autonomous Monitoring of Neurological Development (2023)
Journal Article
Turner, A., Hayes, S., & Sharkey, D. (2023). The Classification of Movement in Infants for the Autonomous Monitoring of Neurological Development. Sensors, 23(10), Article 4800. https://doi.org/10.3390/s23104800

Neurodevelopmental delay following extremely preterm birth or birth asphyxia is common but diagnosis is often delayed as early milder signs are not recognised by parents or clinicians. Early interventions have been shown to improve outcomes. Automati... Read More about The Classification of Movement in Infants for the Autonomous Monitoring of Neurological Development.

A modelling approach to studying variations in newborn life support procedure (2023)
Journal Article
Tan, A., Remenyte-Prescott, R., Valstar, M., & Sharkey, D. (2024). A modelling approach to studying variations in newborn life support procedure. Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability, 238(4), 777-796. https://doi.org/10.1177/1748006X231173595

Variations in clinical practice are common. However, some variations may cause undesired consequences. Careful consideration of their causes and effects is necessary to assure the quality of healthcare delivery. A modelling approach that could captur... Read More about A modelling approach to studying variations in newborn life support procedure.

Small Sample Deep Learning for Newborn Gestational Age Estimation
Presentation / Conference Contribution
Torres Torres, M., Valstar, M. F., Henry, C., Ward, C., & Sharkey, D. (2017, May). Small Sample Deep Learning for Newborn Gestational Age Estimation. Presented at 12th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2017), Washington, DC, USA

A baby’s gestational age determines whether or not they are preterm, which helps clinicians decide on suitable post-natal treatment. The most accurate dating methods use Ultrasound Scan (USS) machines, but these machines are expensive, require traine... Read More about Small Sample Deep Learning for Newborn Gestational Age Estimation.

Identifying Variation in the Newborn Life Support Procedure: An Automated Method
Presentation / Conference Contribution
Tan, A., Remenyte-Prescott, R., Egede, J., Valstar, M., & Sharkey, D. (2023, September). Identifying Variation in the Newborn Life Support Procedure: An Automated Method. Presented at 33rd European Safety and Reliability Conference (ESREL 2023), Southampton, UK

This research is conducted for developing an automated method to recognize variations in the Newborn Life Support (NLS) procedure. Compliance with the NLS standard guideline is essential to prevent any adverse consequences for the newborn. Video reco... Read More about Identifying Variation in the Newborn Life Support Procedure: An Automated Method.

An Automated Performance Evaluation of the Newborn Life Support Procedure
Presentation / Conference Contribution
Tan, A., Egede, J., Remenyte-Prescott, R., Valstar, M., & Sharkey, D. (2024, January). An Automated Performance Evaluation of the Newborn Life Support Procedure. Presented at 2024 Annual Reliability and Maintainability Symposium (RAMS), Albuquerque, NM, USA

This research is conducted to develop an automated action recognition method to evaluate the performance of the Newborn Life Support (NLS) procedure. It will be useful to find deviations in the procedure, such as missing steps and incorrect actions,... Read More about An Automated Performance Evaluation of the Newborn Life Support Procedure.