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2020 – today
- 2022
[j14]Ríona Mc Ardle
, Silvia Del Din, Rosie Morris, Lisa Alcock, Alison J. Yarnall, David J. Burn, Lynn Rochester, Rachael A. Lawson, on behalf of the ICICLE-PD Study Group:
Factors Influencing Habitual Physical Activity in Parkinson's Disease: Considering the Psychosocial State and Wellbeing of People with Parkinson's and Their Carers. Sensors 22(3): 871 (2022)- 2021
- [j13]Ríona Mc Ardle, Silvia Del Din, Paul Donaghy, Brook Galna, Alan J. Thomas, Lynn Rochester:
The Impact of Environment on Gait Assessment: Considerations from Real-World Gait Analysis in Dementia Subtypes. Sensors 21(3): 813 (2021) - [c11]Rana Zia Ur Rehman, Lynn Rochester, Alison J. Yarnall, Silvia Del Din:
Predicting the Progression of Parkinson's Disease MDS-UPDRS-III Motor Severity Score from Gait Data using Deep Learning. EMBC 2021: 249-252 - [c10]Diogo Branco, Patrick Carrington, Silvia Del Din, Afsaneh Doryab, Hristijan Gjoreski, Tiago Guerreiro, Roisin McNaney, Kyle Montague, Alisha Pradhan, André Rodrigues, Julio Vega:
Wild by Design: Workshop on Designing Ubiquitous Health Monitoring Technologies for Challenging Environments. UbiComp/ISWC Adjunct 2021: 508-510 - 2020
- [j12]Christopher Buckley, M. Encarna Micó-Amigo, Michael Dunne-Willows, Alan Godfrey, Aodhán Hickey, Sue Lord, Lynn Rochester, Silvia Del Din, Sarah A. Moore:
Gait Asymmetry Post-Stroke: Determining Valid and Reliable Methods Using a Single Accelerometer Located on the Trunk. Sensors 20(1): 37 (2020) - [j11]Lucy Coates, Jian Shi, Lynn Rochester, Silvia Del Din, Annette Pantall:
Entropy of Real-World Gait in Parkinson's Disease Determined from Wearable Sensors as a Digital Marker of Altered Ambulatory Behavior. Sensors 20(9): 2631 (2020) - [j10]Yuhan Zhou, Rana Zia Ur Rehman, Clint Hansen, Walter Maetzler, Silvia Del Din, Lynn Rochester, Tibor Hortobágyi, Claudine J. C. Lamoth:
Classification of Neurological Patients to Identify Fallers Based on Spatial-Temporal Gait Characteristics Measured by a Wearable Device. Sensors 20(15): 4098 (2020) - [j9]Rana Zia Ur Rehman, Philipp Klocke, Sofia Hryniv, Brook Galna, Lynn Rochester, Silvia Del Din, Lisa Alcock:
Turning Detection During Gait: Algorithm Validation and Influence of Sensor Location and Turning Characteristics in the Classification of Parkinson's Disease. Sensors 20(18): 5377 (2020) - [j8]Christopher Buckley, Alana Cavadino, Silvia Del Din, Sue Lord, Lynne Taylor, Lynn Rochester, Ngaire Kerse:
Quantifying Reliable Walking Activity with a Wearable Device in Aged Residential Care: How Many Days Are Enough? Sensors 20(21): 6314 (2020) - [j7]Tecla Bonci, Alison Keogh, Silvia Del Din, Kirsty Scott, Claudia Mazzà:
An Objective Methodology for the Selection of a Device for Continuous Mobility Assessment. Sensors 20(22): 6509 (2020) - [j6]Rana Zia Ur Rehman, Yuhan Zhou, Silvia Del Din, Lisa Alcock, Clint Hansen, Yu Guan, Tibor Hortobágyi, Walter Maetzler, Lynn Rochester, Claudine J. C. Lamoth:
Gait Analysis with Wearables Can Accurately Classify Fallers from Non-Fallers: A Step toward Better Management of Neurological Disorders. Sensors 20(23): 6992 (2020) - [j5]Martin Ullrich, Arne Küderle, Julius Hannink, Silvia Del Din, Heiko Gaßner, Franz Marxreiter, Jochen Klucken, Björn M. Eskofier, Felix Kluge:
Detection of Gait From Continuous Inertial Sensor Data Using Harmonic Frequencies. IEEE J. Biomed. Health Informatics 24(7): 1869-1878 (2020)
2010 – 2019
- 2019
- [j4]Rana Zia Ur Rehman, Silvia Del Din, Jian Qing Shi, Brook Galna, Sue Lord, Alison J. Yarnall, Yu Guan, Lynn Rochester:
Comparison of Walking Protocols and Gait Assessment Systems for Machine Learning-Based Classification of Parkinson's Disease. Sensors 19(24): 5363 (2019) - [c9]Matteo Gadaleta, Giulia Cisotto, Michele Rossi, Rana Zia Ur Rehman, Lynn Rochester, Silvia Del Din:
Deep Learning Techniques for Improving Digital Gait Segmentation. EMBC 2019: 1834-1837 - [c8]Christopher Buckley, Ríona Mc Ardle, Brook Galna, Alan J. Thomas, Lynn Rochester, Silvia Del Din:
Evaluation of daily walking activity and gait profiles: a novel application of a time series analysis framework. EMBC 2019: 2482-2485 - [c7]Michael Dunne-Willows, Paul Watson, Jian Shi, Lynn Rochester, Silvia Del Din:
A Novel Parameterisation of Phase Plots for Monitoring of Parkinson's Disease. EMBC 2019: 5890-5893 - [i1]Matteo Gadaleta, Giulia Cisotto, Michele Rossi, Rana Zia Ur Rehman, Lynn Rochester, Silvia Del Din:
Deep Learning Techniques for Improving Digital Gait Segmentation. CoRR abs/1907.04281 (2019) - 2016
- [j3]Silvia Del Din, Alan Godfrey, Shirley Coleman, Brook Galna, Sue Lord, Lynn Rochester:
Time-dependent changes in postural control in early Parkinson's disease: what are we missing? Medical Biol. Eng. Comput. 54(2-3): 401-410 (2016) - [j2]Silvia Del Din, Alan Godfrey, Lynn Rochester:
Validation of an Accelerometer to Quantify a Comprehensive Battery of Gait Characteristics in Healthy Older Adults and Parkinson's Disease: Toward Clinical and at Home Use. IEEE J. Biomed. Health Informatics 20(3): 838-847 (2016) - [c6]Alan Godfrey, Alan Bourke, Silvia Del Din, Rosie Morris, Aodhán Hickey, Jorunn L. Helbostad, Lynn Rochester:
Towards holistic free-living assessment in Parkinson's disease: Unification of gait and fall algorithms with a single accelerometer. EMBC 2016: 651-654 - [c5]Cassim Ladha, Silvia Del Din, Kianoush Nazarpour, Aodhán Hickey, Rosie Morris, Michael Catt, Lynn Rochester, Alan Godfrey:
Toward a low-cost gait analysis system for clinical and free-living assessment. EMBC 2016: 1874-1877 - [c4]Silvia Del Din, Aodhán Hickey, Simon Woodman, Hugo Hiden, Rosie Morris, Paul Watson, Kianoush Nazarpour, Michael Catt, Lynn Rochester, Alan Godfrey:
Accelerometer-based gait assessment: Pragmatic deployment on an international scale. SSP 2016: 1-5 - 2014
- [c3]Alan Godfrey, Silvia Del Din, Gillian Barry, John C. Mathers, Lynn Rochester:
Within trial validation and reliability of a single tri-axial accelerometer for gait assessment. EMBC 2014: 5892-5895 - 2011
- [j1]Silvia Del Din, Elena Carraro, Zimi Sawacha, Annamaria Guiotto, Lara Bonaldo, Stefano Masiero, Claudio Cobelli:
Impaired gait in ankylosing spondylitis. Medical Biol. Eng. Comput. 49(7): 801-809 (2011) - [c2]Marco Altini, Silvia Del Din, Shyamal Patel, Steven Schachter, Julien Penders, Paolo Bonato:
A low-power multi-modal body sensor network with application to epileptic seizure monitoring. EMBC 2011: 1806-1809 - [c1]Silvia Del Din, Shyamal Patel, Claudio Cobelli, Paolo Bonato:
Estimating fugl-meyer clinical scores in stroke survivors using wearable sensors. EMBC 2011: 5839-5842
Coauthor Index
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