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All Outputs (3)

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.

The Classification of Minor Gait Alterations Using Wearable Sensors and Deep Learning (2019)
Journal Article
Turner, A., & Hayes, S. (2019). The Classification of Minor Gait Alterations Using Wearable Sensors and Deep Learning. IEEE Transactions on Biomedical Engineering, 66(11), 3136-3145. https://doi.org/10.1109/tbme.2019.2900863

Objective: This paper describes how non-invasive wearable sensors can be used in combination with deep learning to classify artificially induced gait alterations without the requirement for a medical professional or gait analyst to be present. This a... Read More about The Classification of Minor Gait Alterations Using Wearable Sensors and Deep Learning.

Artificial Epigenetic Networks: Automatic Decomposition of Dynamical Control Tasks Using Topological Self-Modification (2016)
Journal Article
Turner, A. P., Caves, L. S. D., Stepney, S., Tyrrell, A. M., & Lones, M. A. (2017). Artificial Epigenetic Networks: Automatic Decomposition of Dynamical Control Tasks Using Topological Self-Modification. IEEE Transactions on Neural Networks and Learning Systems, 28(1), 218-230. https://doi.org/10.1109/tnnls.2015.2497142

This paper describes the artificial epigenetic network, a recurrent connectionist architecture that is able to dynamically modify its topology in order to automatically decompose and solve dynamical problems. The approach is motivated by the behavior... Read More about Artificial Epigenetic Networks: Automatic Decomposition of Dynamical Control Tasks Using Topological Self-Modification.