Dr Christopher Buckley

Assistant Professor

Department: Sport, Exercise and Rehabilitation

Prior to becoming a Lecturer within the Sports, Exercise, and Rehabilitation department at Northumbria University, I received a BSc in Sport and Exercise Science from the University of Chester. I then shifted my biomechanical interests to a clinical perspective where I studied an MSc in Biomechanics of Gait and Posture at Liverpool John Moores University. Following the completion of my MSc, I conducted a collaborative MRes/Ph.D. based between the Mechanical engineering department at the University of Sheffield and Newcastle University. My Ph.D. focussed on the movement of the upper body during gait and if novel ways of assessing signals obtained from wearable technology could highlight specific impairments for people with Parkinson’s disease. Thereafter I became a member of Brain and Movement Research Group where I worked as a research associate and used the knowledge I had gained from my Ph.D. to work on a variety of both national and international projects. Now I am happy to join Northumbria University where I hope my educational and research background can inspire those studying Physiotherapy and also Sport and exercise science.

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Research Themes and Scholarly Interests

My research interests connect the biomechanics of human movement and the objective quantification of gait and posture using wearable technology. In particular, I aim to determine the value of wearable technology as a means to quantify human movement from accelerometer-based data and how novel signal processing techniques may provide unique and specific biomarkers to a mixture of movement disorders. I strive towards discovering the optimum techniques of measuring human mobility so that it can both identify those at risk of mobility impairment, but also, to improve the efficacy of person-centered interventions so that people can remain physically active well into their later years.

Key Publications

Please visit the Pure Research Information Portal for further information
Artificial Intelligence for Dementia - Applied Models and Digital Health, Lyall, D., Kormilitzin, A., Lancaster, C., Sousa, J., Petermann-Rocha, F., Buckley, C., Harshfield, E., Iveson, M., Madan, C., McArdle, R., Newby, D., Orgeta, V., Tang, E., Tamburin, S., Thakur, L., Lourida, I., Llewellyn, D., Ranson, J. 1 Dec 2023, In: Alzheimer's & Dementia: the journal of the Alzheimer's Association
Effects of pharmacological and non-pharmacological interventions on physical activity outcomes in COPD: a systematic review and meta-analysis, Megaritis, D., Hume, E., Chynkiamis, N., Buckley, C., Polhemus, A., Watz, H., Troosters, T., Vogiatzis, I. 25 Sep 2023, In: ERJ Open Research
Auditory rhythmical cueing to improve gait in community-dwelling stroke survivors (ACTIVATE): a pilot randomised controlled trial, Shaw, L., McCue, P., Brown, P., Buckley, C., Del Din, S., Francis, R., Hunter, H., Lord, S., Price, C., Rodgers, H., Rochester, L., Moore, S. 12 Nov 2022, In: Pilot and Feasibility Studies
Walking is Associated With Physical Capacity and Fatigue but not Cognition in Long-Term Care Residents, Taylor, L., Lord, S., Parsons, J., Moyes, S., Rehman, R., Buckley, C., Rochester, L., Del Din, S., Kerse, N. 1 Nov 2022, In: Journal of the American Medical Directors Association
Balance Impairments as Differential Markers of Dementia Disease Subtype, McArdle, R., Pratt, S., Buckley, C., Del Din, S., Galna, B., Thomas, A., Rochester, L., Alcock, L. 11 Mar 2021, In: Frontiers in Bioengineering and Biotechnology
Accelerometry-Based Digital Gait Characteristics for Classification of Parkinson's Disease: What Counts?, Rehman, R., Buckley, C., Micó-Amigo, M., Kirk, C., Dunne-Willows, M., Mazzà, C., Shi, J., Alcock, L., Rochester, L., Del Din, S. 21 Jan 2020, In: IEEE Open Journal of Engineering in Medicine and Biology
Evaluating the effects of an exercise program (Staying UpRight) for older adults in long-term care on rates of falls: study protocol for a randomised controlled trial, Taylor, L., Parsons, J., Taylor, D., Binns, E., Lord, S., Edlin, R., Rochester, L., Del Din, S., Klenk, J., Buckley, C. 8 Jan 2020, In: Trials
Quantifying Reliable Walking Activity with a Wearable Device in Aged Residential Care: How Many Days Are Enough?, Buckley, C., Cavadino, A., Del Din, S., Lord, S., Taylor, L., Rochester, L., Kerse, N. 5 Nov 2020, In: Sensors
Use of wearable technology to assess activity in cognitively impaired populations: Inside care homes and the community, McArdle, R., Buckley, C., Del Din, S., Parsons, J., Lord, S., Galna, B., Taylor, L., Thomas, A., Kerse, N., Rochester, L. 7 Dec 2020, In: Alzheimer's and Dementia
Evaluation of daily walking activity and gait profiles: a novel application of a time series analysis framework, Buckley, C., McArdle, R., Galna, B., Thomas, A., Rochester, L., Del Din, S. 23 Jul 2019, Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, Piscataway, NJ, IEEE