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ORCIDSilvia Del Din
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2020 – today
- 2025
[i4]Sara Johansson Fernstad, Sarah Alsufyani, Silvia Del Din, Alison J. Yarnall, Lynn Rochester:
To Measure What Isn't There - Visual Exploration of Missingness Structures Using Quality Metrics. CoRR abs/2505.23447 (2025)- [i3]Giacomo Bergami, Emma Packer, Kirsty Scott, Silvia Del Din:
Towards Explainable Sequential Learning. CoRR abs/2505.23624 (2025) - 2024
- [j21]Haozheng Zhang
, Edmond S. L. Ho, Francis Xiatian Zhang, Silvia Del Din, Hubert P. H. Shum:
Pose-based tremor type and level analysis for Parkinson's disease from video. Int. J. Comput. Assist. Radiol. Surg. 19(5): 831-840 (2024) - [j20]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) - [c17]Chloe Hinchliffe, Bing Zhai, Victoria Macrae, Jade Walton, Wan-Fai Ng, Silvia Del Din:
Real-World Measures of Cardiorespiratory Function Can Stratify Primary Sjogren's Syndrome Participants with Persistent Fatigue. EMBC 2024: 1-4 - [c16]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:
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 - [c15]Giacomo Bergami, Emma Packer, Kirsty Scott, Silvia Del Din:
Predicting Dyskinetic Events Through Verified Multivariate Time Series Classification. IDEAS 2024: 49-62 - 2023
- [j19]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:
A robust walking detection algorithm using a single foot-worn inertial sensor: validation in real-life settings. Medical Biol. Eng. Comput. 61(9): 2341-2352 (2023) - [j18]Khalid Abdul Jabbar, Javad Sarvestan, Rana Zia Ur Rehman, Sue Lord, Ngaire Kerse, Ruth Teh, Silvia Del Din:
Validation of an Algorithm for Measurement of Sedentary Behaviour in Community-Dwelling Older Adults. Sensors 23(10): 4605 (2023) - [j17]Gemma L. Bate, Cameron Kirk, Rana Zia Ur Rehman, Yu Guan, Alison J. Yarnall, Silvia Del Din, Rachael A. Lawson:
The Role of Wearable Sensors to Monitor Physical Activity and Sleep Patterns in Older Adult Inpatients: A Structured Review. Sensors 23(10): 4881 (2023) - [j16]Khalid Abdul Jabbar, Ríona Mc Ardle, Sue Lord, Ngaire Kerse, Silvia Del Din, Ruth Teh:
Physical Activity in Community-Dwelling Older Adults: Which Real-World Accelerometry Measures Are Robust? A Systematic Review. Sensors 23(17): 7615 (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) - [c14]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 - [c13]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:
Enhancing remote monitoring and classification of motor state in Parkinson's disease using Wearable Technology and Machine Learning. MeMeA 2023: 1-6 - [c12]Alma Cantu, Maria Encarna Micó-Amigo, Silvia Del Din, Sara Johansson Fernstad:
Parallel Assemblies Plot, a visualization tool to explore categorical and quantitative data: application to digital mobility outcomes. PacificVis 2023: 21-30 - [i2]Haozheng Zhang, Edmond S. L. Ho, Xiatian Zhang, Silvia Del Din, Hubert P. H. Shum:
Pose-based Tremor Type and Level Analysis for Parkinson's Disease from Video. CoRR abs/2312.13776 (2023) - 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]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 João Vieira 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, 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) - [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 - 2012
- [b1]Silvia Del Din:
Innovative techniques for biomechanical evaluation of stroke survivors. University of Padua, Italy, 2012 - 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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last updated on 2025-07-06 19:37 CEST by the dblp team
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