Silvia Del Din

According to our database, Silvia Del Din authored at least 35 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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., May, 2024

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, November, 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, September, 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., September, 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

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

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

Proceedings of the 16th IEEE Pacific Visualization Symposium, 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, E. Packer, Alison J. Yarnall, Lynn Rochester, Lisa Alcock, Luigi Ferrigno, Alessandro Marino, Tommaso Di Libero, Silvia Del Din

Proceedings of the IEEE International Symposium on Medical Measurements and Applications, 2023

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, 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

Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

2022

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

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

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, Julio Vega

Proceedings of the UbiComp/ISWC '21: 2021 ACM International Joint Conference on Pervasive and Ubiquitous Computing and 2021 ACM International Symposium on Wearable Computers, 2021

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

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

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

IEEE J. Biomed. Health Informatics, 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

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

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

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

Gait Asymmetry Post-Stroke: Determining Valid and Reliable Methods Using a Single Accelerometer Located on the Trunk.

Christopher Buckley, Maria Encarna Micó-Amigo, Michael Dunne-Willows, Alan Godfrey, Aodhán Hickey, Sue Lord, Lynn Rochester, Silvia Del Din, Sarah A. Moore

Sensors, 2020

Quantifying Reliable Walking Activity with a Wearable Device in Aged Residential Care: How Many Days Are Enough?

Christopher Buckley, Alana Cavadino, Silvia Del Din, Sue Lord, Lynne Taylor, Lynn Rochester, Ngaire Kerse

Sensors, 2020

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

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

Deep Learning Techniques for Improving Digital Gait Segmentation.

Matteo Gadaleta, Giulia Cisotto, Michele Rossi, Rana Zia Ur Rehman, Lynn Rochester, Silvia Del Din

Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

A Novel Parameterisation of Phase Plots for Monitoring of Parkinson's Disease.

Michael Dunne-Willows, Paul Watson, Jian Shi, Lynn Rochester, Silvia Del Din

Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

Evaluation of daily walking activity and gait profiles: a novel application of a time series analysis framework.

Christopher Buckley, Ríona Mc Ardle, Brook Galna, Alan J. Thomas, Lynn Rochester, Silvia Del Din

Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

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

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

Accelerometer-based gait assessment: Pragmatic deployment on an international scale.

Silvia Del Din, Aodhán Hickey, Simon Woodman, Hugo Hiden, Rosie Morris, Paul Watson, Kianoush Nazarpour, Michael Catt, Lynn Rochester, Alan Godfrey

Proceedings of the IEEE Statistical Signal Processing Workshop, 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

Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

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

Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

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

Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

2012

Innovative techniques for biomechanical evaluation of stroke survivors.

Silvia Del Din

PhD thesis, 2012

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

Estimating fugl-meyer clinical scores in stroke survivors using wearable sensors.

Silvia Del Din, Shyamal Patel, Claudio Cobelli, Paolo Bonato

Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

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

Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011