A low-power multi-modal body sensor network with application to epileptic seizure monitoring. - Marco Altini; Silvia Del Din; Shyamal Patel; Steven Schachter; Julien Penders; Paolo Bonato (EMBC, 2011)

Estimating fugl-meyer clinical scores in stroke survivors using wearable sensors. - Silvia Del Din; Shyamal Patel; Claudio Cobelli; Paolo Bonato (EMBC, 2011)

Impaired gait in ankylosing spondylitis. - Silvia Del Din; Elena Carraro; Zimi Sawacha; Annamaria Guiotto; Lara Bonaldo; Stefano Masiero; Claudio Cobelli (Medical Biol. Eng. Comput., 2011)

Innovative techniques for biomechanical evaluation of stroke survivors. - Silvia Del Din (2012)

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)

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)

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)

An Objective Methodology for the Selection of a Device for Continuous Mobility Assessment. - Tecla Bonci; Alison Keogh; Silvia Del Din; Kirsty Scott; Claudia Mazzà (Sensors, 2020)

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)

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)

Detection of Gait From Continuous Inertial Sensor Data Using Harmonic Frequencies. - Martin Ullrich; Arne Küderle; Julius Hannink; Silvia Del Din; Heiko Gaßner; Franz Marxreiter; Jochen Klucken; Björn M. Eskofier; Felix Kluge 001 (IEEE J. Biomed. Health Informatics, 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)

Wild by Design: Workshop on Designing Ubiquitous Health Monitoring Technologies for Challenging Environments. - Diogo Branco; Patrick Carrington; Silvia Del Din; Afsaneh Doryab; Hristijan Gjoreski; Tiago João Vieira Guerreiro; Roisin McNaney; Kyle Montague; Alisha Pradhan; André Rodrigues 002; Julio Vega (UbiComp/ISWC Adjunct, 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)

Parallel Assemblies Plot, a visualization tool to explore categorical and quantitative data: application to digital mobility outcomes. - Alma Cantu; Maria Encarna Micó-Amigo; Silvia Del Din; Sara Johansson Fernstad (PacificVis, 2023)

The Role of Wearable Sensors to Monitor Physical Activity and Sleep Patterns in Older Adult Inpatients: A Structured Review. - Gemma L. Bate; Cameron Kirk; Rana Zia Ur Rehman; Yu Guan; Alison J. Yarnall; Silvia Del Din; Rachael A. Lawson (Sensors, 2023)

Validation of an Algorithm for Measurement of Sedentary Behaviour in Community-Dwelling Older Adults. - Khalid Abdul Jabbar; Javad Sarvestan; Rana Zia Ur Rehman; Sue Lord; Ngaire Kerse; Ruth Teh; Silvia Del Din (Sensors, 2023)

A robust walking detection algorithm using a single foot-worn inertial sensor: validation in real-life settings. - Gaëlle Prigent; Kamiar Aminian; Andrea Cereatti; Francesca Salis; Tecla Bonci; Kirsty Scott; Claudia Mazzà; Lisa Alcock; Silvia Del Din; Eran Gazit; Clint Hansen; Anisoara Paraschiv-Ionescu (Medical Biol. Eng. Comput., 2023)

Physical Activity in Community-Dwelling Older Adults: Which Real-World Accelerometry Measures Are Robust? A Systematic Review. - Khalid Abdul Jabbar; Ríona Mc Ardle; Sue Lord; Ngaire Kerse; Silvia Del Din; Ruth Teh (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)

Real-World Measures of Cardiorespiratory Function Can Stratify Primary Sjogren's Syndrome Participants with Persistent Fatigue. - Chloe Hinchliffe; Bing Zhai; Victoria Macrae; Jade Walton; Wan-Fai Ng; Silvia Del Din (EMBC, 2024)

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)

Predicting Dyskinetic Events Through Verified Multivariate Time Series Classification. - Giacomo Bergami; Emma Packer; Kirsty Scott; Silvia Del Din (IDEAS, 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)

Pose-based tremor type and level analysis for Parkinson's disease from video. - Haozheng Zhang; Edmond S. L. Ho; Francis Xiatian Zhang; Silvia Del Din; Hubert P. H. Shum (Int. J. Comput. Assist. Radiol. Surg., 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)

Towards Explainable Sequential Learning. - Giacomo Bergami; Emma Packer; Kirsty Scott; Silvia Del Din (CoRR, 2025)