Rochester, Lynn
Newcastle upon Tyne Hospitals NHS Foundation Trust · National Institute for Health and Care Research · NIHR Newcastle Biomedical Research Centre · Newcastle University
18 papers on CoChatORCID 0000-0001-5774-9272
Most cited papers
- Verified
Cueing training in the home improves gait-related mobility in Parkinson's disease: the RESCUE trial
Nieuwboer, A., Kwakkel, G., Rochester, L., Jones, D., van Wegen, E., Willems, A. M., Chavret, F., Hetherington, V, Baker, K., & Lim, I. (2007) · Journal of Neurology, Neurosurgery & Psychiatry
Balance, Gait, and Falls PreventionStroke Rehabilitation and Recovery
Cited by 857
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Exercise for improving balance in older people
Howe, T. E., Rochester, L., Neil, F., Skelton, D. A., & Ballinger, C. (2011) · Cochrane Database of Systematic Reviews
Balance, Gait, and Falls PreventionFrailty in Older Adults
Cited by 809
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Attending to the task: Interference effects of functional tasks on walking in Parkinson’s disease and the roles of cognition, depression, fatigue, and balance11No party having a direct interest in the results of the research supporting this article has or will confer a benefit on the author(s) or on any organization with which the author(s) is/are associated.
Rochester, L., Hetherington, V., Jones, D., Nieuwboer, A., Willems, A.-M., Kwakkel, G., & Van Wegen, E. (2004) · Archives of Physical Medicine and Rehabilitation
Balance, Gait, and Falls PreventionStroke Rehabilitation and Recovery
Cited by 317
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Developing a roadmap to improve trial delivery for under-served groups: results from a UK multi-stakeholder process
Witham, M. D., Anderson, E., Carroll, C., Dark, P. M., Down, K., Hall, A. S., Knee, J., Maier, R. H., Mountain, G. A., Nestor, G., et al. (2020) · Trials
Ethics in Clinical ResearchMental Health and Patient Involvement
Cited by 259
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Evidence for motor learning in Parkinson's disease: acquisition, automaticity and retention of cued gait performance after training with external rhythmical cues
Rochester, L., Baker, K., Hetherington, V., Jones, D., Willems, A.-M., Kwakkel, G., Van Wegen, E., Lim, I., & Nieuwboer, A. (2010) · Brain Research
Balance, Gait, and Falls PreventionMotor Control and Adaptation
Cited by 211
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The Immediate Effect of Attentional, Auditory, and a Combined Cue Strategy on Gait During Single and Dual Tasks in Parkinson’s Disease
Baker, K., Rochester, L., & Nieuwboer, A. (2007) · Archives of Physical Medicine and Rehabilitation
Balance, Gait, and Falls PreventionStroke Rehabilitation and Recovery
Cited by 191
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PD Disease State Assessment in Naturalistic Environments Using Deep Learning
Hammerla, N., Fisher, J., Andras, P., Rochester, L., Walker, R., & Ploetz, T. (2015) · Proceedings of the AAAI Conference on Artificial Intelligence
Context-Aware Activity Recognition SystemsBalance, Gait, and Falls Prevention
Cited by 179
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The attentional cost of external rhythmical cues and their impact on gait in Parkinson’s disease: effect of cue modality and task complexity
Rochester, L., Nieuwboer, A., Baker, K., Hetherington, V., Willems, A.-M., Chavret, F., Kwakkel, G., Van Wegen, E., Lim, I., & Jones, D. (2007) · Journal of Neural Transmission
Balance, Gait, and Falls PreventionStroke Rehabilitation and Recovery
Cited by 150
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Research with older people in a world with COVID-19: identification of current and future priorities, challenges and opportunities
Richardson, S. J., Carroll, C. B., Close, J., Gordon, A. L., O’Brien, J., Quinn, T. J., Rochester, L., Sayer, A. A., Shenkin, S. D., van der Velde, N., et al. (2020) · Age and Ageing
Geriatric Care and Nursing HomesTechnology Use by Older Adults
Cited by 128
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Exenatide once weekly over 2 years as a potential disease-modifying treatment for Parkinson’s disease: protocol for a multicentre, randomised, double blind, parallel group, placebo controlled, phase 3 trial: The ‘Exenatide-PD3’ study
Vijiaratnam, N., Girges, C., Auld, G., Chau, M., Maclagan, K., King, A., Skene, S., Chowdhury, K., Hibbert, S., Morris, H., et al. (2021) · BMJ Open
Parkinson's Disease Mechanisms and TreatmentsDeep Brain Stimulation and Movement Disorders
Cited by 84
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Body-worn sensors in Parkinson’s disease: evaluating their acceptability to patients
Fisher, J. M., Hammerla, N. Y., Rochester, L., Andras, P., & Walker, R. W. (2016) · Telemedicine and e-Health
Context-Aware Activity Recognition SystemsNon-Invasive Vital Sign Monitoring
Cited by 81
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Concurrent validity of accelerometry to measure gait in Parkinsons Disease
Lord, S., Rochester, L., Baker, K., & Nieuwboer, A. (2008) · Gait & Posture
Balance, Gait, and Falls PreventionGait Recognition and Analysis
Cited by 69
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Mobility recorded by wearable devices and gold standards: the Mobilise-D procedure for data standardization
Palmerini, L., Reggi, L., Bonci, T., Del Din, S., Micó-Amigo, M. E., Salis, F., Bertuletti, S., Caruso, M., Cereatti, A., Gazit, E., et al. (2023) · Scientific Data
Context-Aware Activity Recognition SystemsPhysical Activity and Health
Cited by 52
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The value of walking: A systematic review on mobility and healthcare costs
Wohlrab, M., Klenk, J., Delgado-Ortiz, L., Chambers, M., Rochester, L., Zuchowski, M., Schwab, M., Becker, C., & Jaeger, S. U. (2022) · European Review of Aging and Physical Activity
Health Systems, Economic Evaluations, Quality of LifeBalance, Gait, and Falls Prevention
Cited by 26
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Effects of an Exercise Program to Reduce Falls in Older People Living in Long-Term Care: A Randomized Controlled Trial
Taylor, L. M., Parsons, J., Moyes, S. A., Binns, E., Cavadino, A., Taylor, D., Lord, S., Del Din, S., Klenk, J., Rochester, L., et al. (2024) · Journal of the American Medical Directors Association
Balance, Gait, and Falls PreventionGeriatric Care and Nursing Homes
Cited by 21
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Accelerating Parkinson’s Disease drug development with federated learning approaches
Khanna, A., Adams, J., Antoniades, C., Bloem, B. R., Carroll, C., Cedarbaum, J., Cosman, J., Dexter, D. T., Dockendorf, M. F., Edgerton, J., et al. (2024) · npj Parkinson's Disease
Privacy-Preserving Technologies in DataParkinson's Disease Mechanisms and Treatments
Cited by 21
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Self-supervised learning of wrist-worn daily living accelerometer data improves the automated detection of gait in older adults
Brand, Y. E., Kluge, F., Palmerini, L., Paraschiv-Ionescu, A., Becker, C., Cereatti, A., Maetzler, W., Sharrack, B., Vereijken, B., Yarnall, A. J., et al. (2024) · Scientific Reports
Context-Aware Activity Recognition SystemsBalance, Gait, and Falls Prevention
Cited by 19
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Automated Gait Detection in Older Adults during Daily-Living using Self-Supervised Learning of Wrist- Worn Accelerometer Data: Development and Validation of ElderNet
Brand, Y. E., Kluge, F., Palmerini, L., Paraschiv-Ionescu, A., Becker, C., Cereatti, A., Maetzler, W., Sharrack, B., Vereijken, B., Yarnall, A. J., et al. (2024) · Scientific Reports
Context-Aware Activity Recognition SystemsBalance, Gait, and Falls Prevention
Cited by 19
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