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ORCIDLynn Rochester
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2020 – today
- 2024
[j18]Hilmar P. Sigurdsson
, Lisa Alcock, Michael J. Firbank, Ross Wilson, Philip Brown, Ross Maxwell, Elizabeth Bennett, Nicola Pavese, David J. Brooks, Lynn Rochester:
Developing a novel dual-injection FDG-PET imaging methodology to study the functional neuroanatomy of gait. NeuroImage 288: 120531 (2024)- [j17]Assaf Zadka, Neta Rabin, Eran Gazit, Anat Mirelman, Alice Nieuwboer, Lynn Rochester, Silvia Del Din, Elisa Pelosin, Laura Avanzino, Bastiaan R. Bloem, Ugo Della Croce, Andrea Cereatti, Jeffrey M. Hausdorff:
A wearable sensor and machine learning estimate step length in older adults and patients with neurological disorders. npj Digit. Medicine 7(1) (2024) - [c16]Chiara Carissimo, Gianni Cerro, Gianfranco Miele, Héloïse Debelle, E. Packer, J. Sarvestan, Alison J. Yarnall, Lynn Rochester, Lisa Alcock, Luigi Ferrigno, Alessandro Marino, Silvia Del Din:
A Novel Energy-Based Composite Index for Assessing Motor State in Parkinson's Disease by Means of IMU-Based Digital Health Technology. I2MTC 2024: 1-6 - 2023
- [j16]Lisa Alcock, Rodrigo Vitório, Samuel Stuart, Lynn Rochester, Annette Pantall:
Faster Walking Speeds Require Greater Activity from the Primary Motor Cortex in Older Adults Compared to Younger Adults. Sensors 23(15): 6921 (2023) - [j15]Mhairi K. Maclean, Rana Zia Ur Rehman, Ngaire Kerse, Lynne Taylor, Lynn Rochester, Silvia Del Din:
Walking Bout Detection for People Living in Long Residential Care: A Computationally Efficient Algorithm for a 3-Axis Accelerometer on the Lower Back. Sensors 23(21): 8973 (2023) - [c15]Chloe Hinchliffe, Rana Zia Ur Rehman, Diogo Branco, Dan Jackson, Teemu Ahmaniemi, Tiago João Vieira Guerreiro, Meenakshi Chatterjee, Nikolay V. Manyakov, Ioannis Pandis, Kristen Davies, Victoria Macrae, Svenja Aufenberg, Emma Paulides, Hanna Hildesheim, Jennifer Kudelka, Kirsten Emmert, Geert Van Gassen, Lynn Rochester, C. Janneke van der Woude, Ralf Reilmann, Walter Maetzler, Wan-Fai Ng, Silvia Del Din:
Identification of Fatigue and Sleepiness in Immune and Neurodegenerative Disorders from Measures of Real-World Gait Variability. EMBC 2023: 1-4 - [c14]Chiara Carissimo, Gianni Cerro, Héloïse Debelle, E. Packer, Alison J. Yarnall, Lynn Rochester, Lisa Alcock, Luigi Ferrigno, Alessandro Marino, Tommaso Di Libero, Silvia Del Din:
Enhancing remote monitoring and classification of motor state in Parkinson's disease using Wearable Technology and Machine Learning. MeMeA 2023: 1-6 - 2022
- [j14]Ríona Mc Ardle, Silvia Del Din, Rosie Morris, Lisa Alcock, Alison J. Yarnall, David J. Burn, Lynn Rochester, Rachael A. Lawson:
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]Ashley Polhemus, Laura Delgado Ortiz, Gavin Brittain, Nikolaos Chynkiamis, Francesca Salis, Heiko Gaßner, Michaela Gross, Cameron Kirk, Rachele Rossanigo, Kristin Taraldsen, Diletta Balta, Sofie Breuls, Sara Buttery, Gabriela Cardenas, Christoph Endress, Julia Gugenhan, Alison Keogh, Felix Kluge, Sarah Koch, Maria Encarna Micó-Amigo, Corinna Nerz, Chloé Sieber, Parris Williams, Ronny Bergquist, Magda Bosch de Basea, Ellen E. Buckley, Clint Hansen, A. Stefanie Mikolaizak, Lars Schwickert, Kirsty Scott, Sabine Stallforth, Janet van Uem, Beatrix Vereijken, Andrea Cereatti, Heleen Demeyer, Nicholas Hopkinson, Walter Maetzler, Thierry Troosters, Ioannis Vogiatzis, Alison J. Yarnall, Clemens Becker, Judith Garcia-Aymerich, Letizia Leocani, Claudia Mazzà, Lynn Rochester, Basil Sharrack, Anja Frei, Milo A. Puhan:
Walking on common ground: a cross-disciplinary scoping review on the clinical utility of digital mobility outcomes. npj Digit. Medicine 4 (2021) - [j12]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) - [c13]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 - 2020
- [j11]Christopher Buckley, Maria 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) - [j10]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) - [j9]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) - [j8]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) - [j7]Marco Viceconti, Sabina Hernandez Penna, Wilhelmus Dartee, Claudia Mazzà, Brian Caulfield, Clemens Becker, Walter Maetzler, Judith Garcia-Aymerich, Giorgio Davico, Lynn Rochester:
Toward a Regulatory Qualification of Real-World Mobility Performance Biomarkers in Parkinson's Patients Using Digital Mobility Outcomes. Sensors 20(20): 5920 (2020) - [j6]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) - [j5]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)
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) - [c12]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 - [c11]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 - [c10]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) - 2018
- [j3]Samuel Stuart, D. Hunt, Jeremy Nell, Alan Godfrey, Jeffrey M. Hausdorff, Lynn Rochester, Lara Alcock:
Do you see what I see? Mobile eye-tracker contextual analysis and inter-rater reliability. Medical Biol. Eng. Comput. 56(2): 289-296 (2018) - 2016
- [j2]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) - [j1]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) - [c9]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 - [c8]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 - [c7]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 - 2015
- [c6]Nils Yannick Hammerla, James Fisher, Peter Andras, Lynn Rochester, Richard Walker, Thomas Ploetz:
PD Disease State Assessment in Naturalistic Environments Using Deep Learning. AAAI 2015: 1742-1748 - [c5]Roisin McNaney, Madeline Balaam, Amey Holden, Guy Schofield, Daniel Jackson, Mary Webster, Brook Galna, Gillian Barry, Lynn Rochester, Patrick Olivier:
Designing for and with People with Parkinson's: A Focus on Exergaming. CHI 2015: 501-510 - 2014
- [c4]Samuel Stuart, Brook Galna, Sue Lord, Lynn Rochester, Alan Godfrey:
Quantifying saccades while walking: Validity of a novel velocity-based algorithm for mobile eye tracking. EMBC 2014: 5739-5742 - [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 - [c2]Alan Godfrey, Gillian Barry, John C. Mathers, Lynn Rochester:
A comparison of methods to detect postural transitions using a single tri-axial accelerometer. EMBC 2014: 6234-6237 - 2013
- [c1]Jian Qing Shi, Y. Cheng, J. Serradilla, Graham Morgan, C. Lambden, Gary A. Ford, Christopher Price, Helen Rodgers, T. Cassidy, Lynn Rochester, Janet A. Eyre:
Evaluating Functional Ability of Upper Limbs after Stroke Using Video Game Data. Brain and Health Informatics 2013: 181-192
Coauthor Index
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