Evaluating Functional Ability of Upper Limbs after Stroke Using Video Game Data. - Jian Qing Shi; Y. Cheng; J. Serradilla; Graham Morgan; C. Lambden; Gary A. Ford 002; Christopher Price; Helen Rodgers; T. Cassidy; Lynn Rochester; Janet A. Eyre (Brain and Health Informatics, 2013)

A comparison of methods to detect postural transitions using a single tri-axial accelerometer. - Alan Godfrey; Gillian Barry; John C. Mathers; Lynn Rochester (EMBC, 2014)

Within trial validation and reliability of a single tri-axial accelerometer for gait assessment. - Alan Godfrey; Silvia Del Din; Gillian Barry; John C. Mathers; Lynn Rochester (EMBC, 2014)

Quantifying saccades while walking: Validity of a novel velocity-based algorithm for mobile eye tracking. - Samuel Stuart; Brook Galna; Sue Lord; Lynn Rochester; Alan Godfrey (EMBC, 2014)

PD Disease State Assessment in Naturalistic Environments Using Deep Learning. - Nils Yannick Hammerla; James Fisher; Peter Andras 001; Lynn Rochester; Richard Walker 005; Thomas Ploetz (AAAI, 2015)

Designing for and with People with Parkinson's: A Focus on Exergaming. - Roisin McNaney; Madeline Balaam; Amey Holden; Guy Schofield; Daniel Jackson 002; Mary Webster; Brook Galna; Gillian Barry; Lynn Rochester; Patrick Olivier (CHI, 2015)

Towards holistic free-living assessment in Parkinson's disease: Unification of gait and fall algorithms with a single accelerometer. - Alan Godfrey; Alan Bourke; Silvia Del Din; Rosie Morris; Aodhán Hickey; Jorunn L. Helbostad; Lynn Rochester (EMBC, 2016)

Toward a low-cost gait analysis system for clinical and free-living assessment. - Cassim Ladha; Silvia Del Din; Kianoush Nazarpour; Aodhán Hickey; Rosie Morris; Michael Catt; Lynn Rochester; Alan Godfrey (EMBC, 2016)

Accelerometer-based gait assessment: Pragmatic deployment on an international scale. - Silvia Del Din; Aodhán Hickey; Simon Woodman; Hugo Hiden; Rosie Morris; Paul Watson 001; Kianoush Nazarpour; Michael Catt; Lynn Rochester; Alan Godfrey (SSP, 2016)

Time-dependent changes in postural control in early Parkinson's disease: what are we missing? - Silvia Del Din; Alan Godfrey; Shirley Coleman; Brook Galna; Sue Lord; Lynn Rochester (Medical Biol. Eng. Comput., 2016)

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. - Silvia Del Din; Alan Godfrey; Lynn Rochester (IEEE J. Biomed. Health Informatics, 2016)

Do you see what I see? Mobile eye-tracker contextual analysis and inter-rater reliability. - Samuel Stuart; D. Hunt; Jeremy Nell; Alan Godfrey; Jeffrey M. Hausdorff; Lynn Rochester; Lara Alcock (Medical Biol. Eng. Comput., 2018)

Evaluation of daily walking activity and gait profiles: a novel application of a time series analysis framework. - Christopher Buckley 002; Ríona Mc Ardle; Brook Galna; Alan J. Thomas; Lynn Rochester; Silvia Del Din (EMBC, 2019)

A Novel Parameterisation of Phase Plots for Monitoring of Parkinson's Disease. - Michael Dunne-Willows; Paul Watson 001; Jian Shi; Lynn Rochester; Silvia Del Din (EMBC, 2019)

Deep Learning Techniques for Improving Digital Gait Segmentation. - Matteo Gadaleta; Giulia Cisotto; Michele Rossi; Rana Zia Ur Rehman; Lynn Rochester; Silvia Del Din (EMBC, 2019)

Comparison of Walking Protocols and Gait Assessment Systems for Machine Learning-Based Classification of Parkinson's Disease. - Rana Zia Ur Rehman; Silvia Del Din; Jian Qing Shi; Brook Galna; Sue Lord; Alison J. Yarnall; Yu Guan; Lynn Rochester (Sensors, 2019)

Quantifying Reliable Walking Activity with a Wearable Device in Aged Residential Care: How Many Days Are Enough? - Christopher Buckley 002; Alana Cavadino; Silvia Del Din; Sue Lord; Lynne Taylor; Lynn Rochester; Ngaire Kerse (Sensors, 2020)

Gait Asymmetry Post-Stroke: Determining Valid and Reliable Methods Using a Single Accelerometer Located on the Trunk. - Christopher Buckley 002; Maria Encarna Micó-Amigo; Michael Dunne-Willows; Alan Godfrey; Aodhán Hickey; Sue Lord; Lynn Rochester; Silvia Del Din; Sarah A. Moore (Sensors, 2020)

Entropy of Real-World Gait in Parkinson's Disease Determined from Wearable Sensors as a Digital Marker of Altered Ambulatory Behavior. - Lucy Coates; Jian Shi; Lynn Rochester; Silvia Del Din; Annette Pantall (Sensors, 2020)

Turning Detection During Gait: Algorithm Validation and Influence of Sensor Location and Turning Characteristics in the Classification of Parkinson's Disease. - Rana Zia Ur Rehman; Philipp Klocke; Sofia Hryniv; Brook Galna; Lynn Rochester; Silvia Del Din; Lisa Alcock (Sensors, 2020)

Gait Analysis with Wearables Can Accurately Classify Fallers from Non-Fallers: A Step toward Better Management of Neurological Disorders. - 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 (Sensors, 2020)

Toward a Regulatory Qualification of Real-World Mobility Performance Biomarkers in Parkinson's Patients Using Digital Mobility Outcomes. - Marco Viceconti; Sabina Hernandez Penna; Wilhelmus Dartee; Claudia Mazzà; Brian Caulfield 001; Clemens Becker; Walter Maetzler; Judith Garcia-Aymerich; Giorgio Davico; Lynn Rochester (Sensors, 2020)

Classification of Neurological Patients to Identify Fallers Based on Spatial-Temporal Gait Characteristics Measured by a Wearable Device. - Yuhan Zhou; Rana Zia Ur Rehman; Clint Hansen; Walter Maetzler; Silvia Del Din; Lynn Rochester; Tibor Hortobágyi; Claudine J. C. Lamoth (Sensors, 2020)

Predicting the Progression of Parkinson's Disease MDS-UPDRS-III Motor Severity Score from Gait Data using Deep Learning. - Rana Zia Ur Rehman; Lynn Rochester; Alison J. Yarnall; Silvia Del Din (EMBC, 2021)

Walking on common ground: a cross-disciplinary scoping review on the clinical utility of digital mobility outcomes. - 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; et al. (npj Digit. Medicine, 2021)

The Impact of Environment on Gait Assessment: Considerations from Real-World Gait Analysis in Dementia Subtypes. - Ríona Mc Ardle; Silvia Del Din; Paul Donaghy; Brook Galna; Alan J. Thomas; Lynn Rochester (Sensors, 2021)

Factors Influencing Habitual Physical Activity in Parkinson's Disease: Considering the Psychosocial State and Wellbeing of People with Parkinson's and Their Carers. - Ríona Mc Ardle; Silvia Del Din; Rosie Morris; Lisa Alcock; Alison J. Yarnall; David J. Burn; Lynn Rochester; Rachael A. Lawson (Sensors, 2022)

Identification of Fatigue and Sleepiness in Immune and Neurodegenerative Disorders from Measures of Real-World Gait Variability. - Chloe Hinchliffe; Rana Zia Ur Rehman; Diogo Branco; Dan Jackson 001; Teemu Ahmaniemi; Tiago João Vieira Guerreiro; Meenakshi Chatterjee; Nikolay V. Manyakov; Ioannis Pandis; Kristen Davies; Victoria Macrae; Svenja Aufenberg; et al. (EMBC, 2023)

Enhancing remote monitoring and classification of motor state in Parkinson's disease using Wearable Technology and Machine Learning. - Chiara Carissimo; Gianni Cerro; Héloïse Debelle; Emma Packer; Alison J. Yarnall; Lynn Rochester; Lisa Alcock; Luigi Ferrigno; Alessandro Marino; Tommaso Di Libero; Silvia Del Din (MeMeA, 2023)

Faster Walking Speeds Require Greater Activity from the Primary Motor Cortex in Older Adults Compared to Younger Adults. - Lisa Alcock; Rodrigo Vitório; Samuel Stuart; Lynn Rochester; Annette Pantall (Sensors, 2023)

Walking Bout Detection for People Living in Long Residential Care: A Computationally Efficient Algorithm for a 3-Axis Accelerometer on the Lower Back. - Mhairi K. Maclean; Rana Zia Ur Rehman; Ngaire Kerse; Lynne Taylor; Lynn Rochester; Silvia Del Din (Sensors, 2023)

A Novel Energy-Based Composite Index for Assessing Motor State in Parkinson's Disease by Means of IMU-Based Digital Health Technology. - Chiara Carissimo; Gianni Cerro; Gianfranco Miele; Héloïse Debelle; Emma Packer; J. Sarvestan; Alison J. Yarnall; Lynn Rochester; Lisa Alcock; Luigi Ferrigno; Alessandro Marino; Silvia Del Din (I2MTC, 2024)

Developing a novel dual-injection FDG-PET imaging methodology to study the functional neuroanatomy of gait. - Hilmar P. Sigurdsson; Lisa Alcock; Michael J. Firbank; Ross Wilson; Philip Brown; Ross Maxwell; Elizabeth Bennett; Nicola Pavese; David J. Brooks; Lynn Rochester (NeuroImage, 2024)

A wearable sensor and machine learning estimate step length in older adults and patients with neurological disorders. - 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; et al. (npj Digit. Medicine, 2024)

To Measure What Isn't There - Visual Exploration of Missingness Structures Using Quality Metrics. - Sara Johansson Fernstad; Sarah Alsufyani; Silvia Del Din; Alison J. Yarnall; Lynn Rochester (CoRR, 2025)