Outputs (113)

Effectiveness of high fidelity simulation versus low fidelity simulation on practical/clinical skill development in pre-registration physiotherapy students: a systematic review. (2019)
Journal Article
ROBERTS, F. and COOPER, K. 2019. Effectiveness of high fidelity simulation versus low fidelity simulation on practical/clinical skill development in pre-registration physiotherapy students: a systematic review. JBI database of systematic reviews and implementation reports [online], 17(6), pages 1229-1255. Available from: https://doi.org/10.11124/JBISRIR-2017-003931

Objective: The objective of this review is to evaluate the effectiveness of high fidelity simulation (HFS) versus low fidelity simulation (LFS) on practical/clinical skill development in pre-registration physiotherapy students. Introduction: Evidence... Read More about Effectiveness of high fidelity simulation versus low fidelity simulation on practical/clinical skill development in pre-registration physiotherapy students: a systematic review..

Health technologies for falls prevention and detection in adult hospital in-patients: a scoping review protocol. (2019)
Other
ALEXANDER, L., SWINTON, P., KIRKPATRICK, P., STEPHEN, A., MITCHELHILL, F., SIMPSON, S. and COOPER, K. 2019. Health technologies for falls prevention and detection in adult hospital in-patients: a scoping review protocol. [Protocol]. JBI database of systematic reviews and implementation reports [online], 17(5), pages 667-674. Available from: https://doi.org/10.11124/JBISRIR-2017-003844

Review objective/questions: The objective of this scoping review is to map the evidence relating to the reporting and evaluation of health technologies for the prevention and detection of falls in adult hospital in-patients. The following questions w... Read More about Health technologies for falls prevention and detection in adult hospital in-patients: a scoping review protocol..

Pain neuroscience education for adults with chronic musculoskeletal pain: a mixed-methods systematic review and meta-analysis. (2019)
Journal Article
WATSON, J.A., RYAN, C.G., COOPER, L., ELLINGTON, D., WHITTLE, R., LAVENDER, M., DIXON, J., ATKINSON, G., COOPER, K. and MARTIN, D.J. 2019. Pain neuroscience education for adults with chronic musculoskeletal pain: a mixed-methods systematic review and meta-analysis. Journal of pain [online], 20(10), pages 1140.e1-1140.e22. Available from: https://doi.org/10.1016/j.jpain.2019.02.011

Chronic musculoskeletal pain (CMP) is an urgent global public health concern. Pain neuroscience education (PNE) is an intervention used in the management of CMP aiming to reconceptualise an individual's understanding of their pain as less threatening... Read More about Pain neuroscience education for adults with chronic musculoskeletal pain: a mixed-methods systematic review and meta-analysis..

PALS: peer support for community dwelling older people with chronic low back pain: a feasibility and acceptability study. (2019)
Journal Article
COOPER, K., SCHOFIELD, P., SMITH, B.H. and KLEIN, S. 2020. PALS: peer support for community dwelling older people with chronic low back pain: a feasibility and acceptability study. Physiotherapy [online], 106, pages 154-162. Available from: https://doi.org/10.1016/j.physio.2019.01.015

Objectives: (i) examine the feasibility and acceptability of a peer support intervention (PALS) to facilitate self-management in community dwelling older adults with Chronic Low Back Pain (CLBP), and (ii) examine the feasibility of study methods in o... Read More about PALS: peer support for community dwelling older people with chronic low back pain: a feasibility and acceptability study..

A proposed model of perceived motivationally-relevant social agent influence during athlete development. (2019)
Thesis
MCCANN, B.J.A. 2019. A proposed model of perceived motivationally-relevant social agent influence during athlete development. Robert Gordon University [online], PhD thesis. Available from: https://openair.rgu.ac.uk

This thesis aimed to extend knowledge of the perceived motivationally-relevant influences of coaches, parents and peers during athlete development in sport. In doing so this thesis addressed existing limitations in research to date exploring social a... Read More about A proposed model of perceived motivationally-relevant social agent influence during athlete development..

Improving kNN for human activity recognition with privileged learning using translation models. (2018)
Conference Proceeding
WIJEKOON, A., WIRATUNGA, N., SANI, S., MASSIE, S. and COOPER, K. 2018. Improving kNN for human activity recognition with privileged learning using translation models. In Cox, M.T., Funk, P. and Begum, S. (eds.) Case-based reasoning research and development: proceedings of the 26th International conference on case-based reasoning (ICCBR 2018), 9-12 July 2018, Stockholm, Sweden. Lecture notes in computer science, 11156. Cham: Springer [online], pages 448-463. Available from: https://doi.org/10.1007/978-3-030-01081-2_30

Multiple sensor modalities provide more accurate Human Activity Recognition (HAR) compared to using a single modality, yet the latter is preferred by consumers as it is more convenient and less intrusive. This presents a challenge to researchers, as... Read More about Improving kNN for human activity recognition with privileged learning using translation models..

Personalised human activity recognition using matching networks. (2018)
Conference Proceeding
SANI, S., WIRATUNGA, N., MASSIE, S. and COOPER, K. 2018. Personalised human activity recognition using matching networks. In Cox, M.T., Funk, P. and Begum, S. (eds.) Case-based reasoning research and development: proceedings of the 26th International conference on case-based reasoning (ICCBR 2018), 9-12 July 2018, Stockholm, Sweden. Lecture notes in computer science, 11156. Cham: Springer [online], pages 339-353. Available from: https://doi.org/10.1007/978-3-030-01081-2_23

Human Activity Recognition (HAR) is typically modelled as a classification task where sensor data associated with activity labels are used to train a classifier to recognise future occurrences of these activities. An important consideration when trai... Read More about Personalised human activity recognition using matching networks..

Variation in lifting kinematics related to individual intrinsic lumbar curvature: an investigation in healthy adults. (2018)
Journal Article
PAVLOVA, A.V., MEAKIN, J.R., COOPER, K., BARR, R.J. and ASPDEN, R.M. 2018. Variation in lifting kinematics related to individual intrinsic lumbar curvature: an investigation in healthy adults. BMJ open sport and exercise medicine [online], 4(1), article number 000374. Available from: https://doi.org/10.1136/bmjsem-2018-000374

Objective: Lifting postures are frequently implicated in back pain. We previously related responses to a static load with intrinsic spine shape, and here we investigate the role of lumbar spine shape in lifting kinematics. Methods: Thirty healthy adu... Read More about Variation in lifting kinematics related to individual intrinsic lumbar curvature: an investigation in healthy adults..

Matching networks for personalised human activity recognition. (2018)
Conference Proceeding
SANI, S., WIRATUNGA, N., MASSIE, S. and COOPER, K. 2018. Matching networks for personalised human activity recognition. In Bichindaritz, I., Guttmann, C., Herrero, P., Koch, F., Koster, A., Lenz, R., López Ibáñez, B., Marling, C., Martin, C., Montagna, S., Montani, S., Reichert, M., Riaño, D., Schumacher, M.I., ten Teije, A. and Wiratunga, N. (eds.) Proceedings of the 1st Joint workshop on artificial intelligence in health, organized as part of the Federated AI meeting (FAIM 2018), co-located with the 17th International conference on autonomous agents and multiagent systems (AAMAS 2018), the 35th International conference on machine learning (ICML 2018), the 27th International joint conference on artificial intelligence (IJCAI 2018), and the 26th International conference on case-based reasoning (ICCBR 2018), 13-19 July 2018, Stockholm, Sweden. CEUR workshop proceedings, 2142. Aachen: CEUR-WS [online], pages 61-64. Available from: http://ceur-ws.org/Vol-2142/short4.pdf

Human Activity Recognition (HAR) has many important applications in health care which include management of chronic conditions and patient rehabilitation. An important consideration when training HAR models is whether to use training data from a gene... Read More about Matching networks for personalised human activity recognition..

Study of similarity metrics for matching network-based personalised human activity recognition. (2018)
Presentation / Conference
SANI, S., WIRATUNGA, N., MASSIE, S. and COOPER, K. 2018. Study of similarity metrics for matching network-based personalised human activity recognition. In Minor, M. (ed.) Workshop proceedings for the 26th International conference on case-based reasoning (ICCBR 2018), 9-12 July 2018, Stockholm, Sweden, pages 91-95. Available from: http://iccbr18.com/wp-content/uploads/ICCBR-2018-V3.pdf#page=91

Personalised Human Activity Recognition (HAR) models trained using data from the target user (subject-dependent) have been shown to be superior to non personalised models that are trained on data from a general population (subject-independent). Howev... Read More about Study of similarity metrics for matching network-based personalised human activity recognition..