Rates and Reasons for Non-adherence to Home Physiotherapy in Paediatrics
Journal Article
Chappell, F., & Williams, B. (2002)
Rates and Reasons for Non-adherence to Home Physiotherapy in Paediatrics. Physiotherapy, 88(3), 138-147. https://doi.org/10.1016/s0031-9406%2805%2960547-0
Background and purpose
Little evidence is currently available on adherence to home physiotherapy within paediatrics. This study aims to provide an indication of the likely siz...
Decentralized dynamic understanding of hidden relations in complex networks
Journal Article
Mocanu, D. C., Exarchakos, G., & Liotta, A. (2018)
Decentralized dynamic understanding of hidden relations in complex networks. Scientific Reports, 8(1), https://doi.org/10.1038/s41598-018-19356-4
Almost all the natural or human made systems can be understood and controlled using complex networks. This is a difficult problem due to the very large number of elements in s...
Application of Mixed Effects Limits of Agreement in the Presence of Multiple Sources of Variability: Exemplar from the Comparison of Several Devices to Measure Respiratory Rate in COPD Patients
Journal Article
Parker, R. A., Weir, C. J., Rubio, N., Rabinovich, R., Pinnock, H., Hanley, J., …McKinstry, B. (2016)
Application of Mixed Effects Limits of Agreement in the Presence of Multiple Sources of Variability: Exemplar from the Comparison of Several Devices to Measure Respiratory Rate in COPD Patients. PLOS ONE, 11(12), https://doi.org/10.1371/journal.pone.0168321
Introduction
The Bland-Altman limits of agreement method is widely used to assess how well the measurements produced by two raters, devices or systems agree with each other. H...
A topological insight into restricted Boltzmann machines
Journal Article
Mocanu, D. C., Mocanu, E., Nguyen, P. H., Gibescu, M., & Liotta, A. (2016)
A topological insight into restricted Boltzmann machines. Machine Learning, 104(2-3), 243-270. https://doi.org/10.1007/s10994-016-5570-z
Restricted Boltzmann Machines (RBMs) and models derived from them have been successfully used as basic building blocks in deep artificial neural networks for automatic feature...
Diabetes research: at Edinburgh Napier University's School of Computing
Digital Artefact
Ryan, B., & Webster, G. (2020)
Diabetes research: at Edinburgh Napier University's School of Computing. [Blog]
This 'Diabetes Research' blog is initially about the seed-project 'Information Avoidance and diabetes'. This project is an initial investigation of how and why people with dia...
Lightweight Reinforcement Learning for Energy Efficient Communications in Wireless Sensor Networks
Journal Article
Savaglio, C., Pace, P., Aloi, G., Liotta, A., & Fortino, G. (2019)
Lightweight Reinforcement Learning for Energy Efficient Communications in Wireless Sensor Networks. IEEE Access, 7, 29355-29364. https://doi.org/10.1109/access.2019.2902371
High-density communications in wireless sensor networks (WSNs) demand for new approaches to meet stringent energy and spectrum requirements. We turn to reinforcement learning,...
Reducing delay in patients with acute coronary syndrome and other time-critical conditions: a systematic review to identify the behaviour change techniques associated with effective interventions
Journal Article
Farquharson, B., Abhyankar, P., Smith, K., Dombrowski, S. U., Treweek, S., Dougall, N., …Johnston, M. (2019)
Reducing delay in patients with acute coronary syndrome and other time-critical conditions: a systematic review to identify the behaviour change techniques associated with effective interventions. Open Heart, 6(1), https://doi.org/10.1136/openhrt-2018-000975
Background: Time to treatment in many conditions, particularly acute coronary syndrome, is critical to reducing mortality. Delay between onset of symptoms and treatment remain...
Harnessing imagery to motivate health behaviours
Journal Article
Cameron, L. D., Humphris, G., Hollands, G., & Williams, B. (2010)
Harnessing imagery to motivate health behaviours. International Journal of Behavioral Medicine, 17(Supplement 1), S203
This paper is an abstract in a special supplement - Abstracts from the 11th International Congress of Behavioral Medicine.
Resilience of Video Streaming Services to Network Impairments
Journal Article
Torres Vega, M., Perra, C., & Liotta, A. (2018)
Resilience of Video Streaming Services to Network Impairments. IEEE Transactions on Broadcasting, 64(2), 220-234. https://doi.org/10.1109/tbc.2017.2781125
When dealing with networks, performance management through conventional quality of service (QoS)-based methods becomes difficult and is often ineffective. In fact, quality eme...
An Edge-Based Architecture to Support Efficient Applications for Healthcare Industry 4.0
Journal Article
Pace, P., Aloi, G., Gravina, R., Caliciuri, G., Fortino, G., & Liotta, A. (2019)
An Edge-Based Architecture to Support Efficient Applications for Healthcare Industry 4.0. IEEE Transactions on Industrial Informatics, 15(1), 481-489. https://doi.org/10.1109/tii.2018.2843169
Edge computing paradigm has attracted many interests in the last few years as a valid alternative to the standard cloud-based approaches to reduce the interaction timing and t...