PEER-REVIEWED PUBLICATIONS

Daw, W., Kaur, R., Delaney, M., & Elphick, H. (2020). Respiratory rate is an early predictor of clinical deterioration in children. Pediatric Pulmonology, 55(8), 2041-2049. https://doi.org/10.1002/ppul.24853

Daw, W., Kingshott, R. N., Saatchi, R., Burke, D., Evans, R., Holloway, A., … & Elphick, H. E. (2020). A Novel, Contactless, Portable “Spot-Check” Device Accurately Measures Respiratory Rate. Journal of Medical Devices, 14(3), 031002. https://doi.org/10.1115/1.4046923

Wheeler, G., Elphick, H., Langley, J., Mills, N., Ankeny, U., & Raszyki, N. (2020, September). Co-designing a neck stabilising aid for children with narcolepsy. In Proceedings of the 6th International Conference on Design4Health, Amsterdam, 2020. Sheffield Hallam University. https://research.shu.ac.uk/design4health/publications/2020-conference-proceedings

Langley, J., Wheeler, G., Mills, N., & Heron, N. (2020, September). Starworks: Politics, Power and Expertise in co-producing a research, patient, practice and industry partnership for child prosthetics. In Proceedings of the 6th International Conference on Design4Health, Amsterdam, 2020. Sheffield Hallam University. https://research.shu.ac.uk/design4health/publications/2020-conference-proceedings

Blower, S., Swallow, V., Maturana, C., Stones, S., Phillips, R., Dimitri, P., … & Kellar, I. (2020). Children and young people’s concerns and needs relating to their use of health technology to self-manage long-term conditions: a scoping review. Archives of Disease in Childhood. https://doi.org/10.1136/archdischild-2020-319103

Mills, N., & Langley, J. (2020). Commentary: Collaboration for clinical innovation: a nursing and engineering alliance for better patient care. Journal of Research in Nursing, 25(3), 305-307. https://doi.org/10.1177/1744987120922394

Grafton, A., Motamedi, S., Lasenby, J., & Iles, R. (2019). P125 Using adaptive principal component analysis and age-varying kernel distributions to characterise COPD in data collected by structured light plethysmography (SLP).

Lauhkonen, E., Grafton, A., Motamedi, S., Restarick, C., Lasenby, J., & Iles, R. W. (2019). Using Adaptive Principal Component Analysis (APCA) and Machine Learning to characterise paediatric asthma in data collected by Structured Light Plethysmography (SLP).

Dimitri, P. (2019). Child health technology: shaping the future of paediatrics and child health and improving NHS productivity. Archives of Disease in Childhood, 104(2), 184-188. http://dx.doi.org/10.1136/archdischild-2017-314309

Elphick, H. E., Alkali, A. H., Kingshott, R. K., Burke, D., & Saatchi, R. (2019). Exploratory study to evaluate respiratory rate using a thermal imaging camera. Respiration, 97(3), 205-212. https://doi.org/10.1159/000490546

Wheeler, G., Mills, N., King, S., & Culmer, P. (2018, September). Child-led, Creative Exploration of Paediatric Incontinence. In Proceedings of the 5th International Conference on Design4Health, Sheffield, UK, 4th–6th September 2018. Sheffield Hallam University. https://research.shu.ac.uk/design4health/publications/2018-conference-proceedings

Alkali, A. H., Saatchi, R., Elphick, H., & Burke, D. (2017). Thermal image processing for real-time non-contact respiration rate monitoring. IET Circuits, Devices & Systems, 11(2), 142-148. https://doi.org/10.1049/iet-cds.2016.0143

Daw, W. J., Kingshott, R. N., & Elphick, H. E. (2017). Poor inter-observer agreement in the measurement of respiratory rate in children: a prospective observational study. BMJ Paediatrics Open, 1, e000173. http://dx.doi.org/10.1136/bmjpo-2017-000173

Daw, W., Kingshott, R., Saatchi, R., Burke, D., Holloway, A., Travis, J., … & Elphick, H. (2016). Medical devices for measuring respiratory rate in children: a review. Journal of Advances in Biomedical Engineering and Technology, 3, 21-27. http://dx.doi.org/10.15379/2409-3394.2016.03.01.04