Silvia Del Din - researchr alias

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Viewing Publication 1 - 34 from 34

2023

The Role of Wearable Sensors to Monitor Physical Activity and Sleep Patterns in Older Adult Inpatients: A Structured ReviewGemma L. Bate, Cameron Kirk, Rana Zia Ur Rehman, Yu Guan, Alison J. Yarnall, Silvia Del Din, Rachael A. Lawson. sensors, 23(10):4881, 2023. [doi]

Parallel Assemblies Plot, a visualization tool to explore categorical and quantitative data: application to digital mobility outcomesAlma Cantu, Maria Encarna Micó-Amigo, Silvia Del Din, Sara Johansson Fernstad. pacificvis 2023: 21-30 [doi]

Enhancing remote monitoring and classification of motor state in Parkinson's disease using Wearable Technology and Machine LearningChiara Carissimo, Gianni Cerro, H. Debelle, E. Packer, Alison J. Yarnall, Lynn Rochester, Lisa Alcock, Luigi Ferrigno, Alessandro Marino, T. Di Libero, Silvia Del Din. memea 2023: 1-6 [doi]

Validation of an Algorithm for Measurement of Sedentary Behaviour in Community-Dwelling Older AdultsKhalid Abdul Jabbar, Javad Sarvestan, Rana Zia Ur Rehman, Sue Lord, Ngaire Kerse, Ruth Teh, Silvia Del Din. sensors, 23(10):4605, 2023. [doi]

Physical Activity in Community-Dwelling Older Adults: Which Real-World Accelerometry Measures Are Robust? A Systematic ReviewKhalid Abdul Jabbar, Ríona Mc Ardle, Sue Lord, Ngaire Kerse, Silvia Del Din, Ruth Teh. sensors, 23(17):7615, September 2023. [doi]

Walking Bout Detection for People Living in Long Residential Care: A Computationally Efficient Algorithm for a 3-Axis Accelerometer on the Lower BackMhairi K. Maclean, Rana Zia Ur Rehman, Ngaire Kerse, Lynne Taylor, Lynn Rochester, Silvia Del Din. sensors, 23(21):8973, November 2023. [doi]

A robust walking detection algorithm using a single foot-worn inertial sensor: validation in real-life settingsGaëlle 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. mbec, 61(9):2341-2352, September 2023. [doi]

2022

Factors Influencing Habitual Physical Activity in Parkinson's Disease: Considering the Psychosocial State and Wellbeing of People with Parkinson's and Their CarersRíona Mc Ardle, Silvia Del Din, Rosie Morris, Lisa Alcock, Alison J. Yarnall, David J. Burn, Lynn Rochester, Rachael A. Lawson, on behalf of the ICICLE-PD Study Group. sensors, 22(3):871, 2022. [doi]

2021

2020

An Objective Methodology for the Selection of a Device for Continuous Mobility AssessmentTecla Bonci, Alison Keogh, Silvia Del Din, Kirsty Scott, Claudia Mazzà, on behalf of the Mobilise-D. consortium. sensors, 20(22):6509, 2020. [doi]

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, 20(21):6314, 2020. [doi]

Gait Asymmetry Post-Stroke: Determining Valid and Reliable Methods Using a Single Accelerometer Located on the TrunkChristopher Buckley, M. Encarna Micó-Amigo, Michael Dunne-Willows, Alan Godfrey, Aodhán Hickey, Sue Lord, Lynn Rochester, Silvia Del Din, Sarah A. Moore. sensors, 20(1):37, 2020. [doi]

Entropy of Real-World Gait in Parkinson's Disease Determined from Wearable Sensors as a Digital Marker of Altered Ambulatory BehaviorLucy Coates, Jian Shi, Lynn Rochester, Silvia Del Din, Annette Pantall. sensors, 20(9):2631, 2020. [doi]

Turning Detection During Gait: Algorithm Validation and Influence of Sensor Location and Turning Characteristics in the Classification of Parkinson's DiseaseRana Zia Ur Rehman, Philipp Klocke, Sofia Hryniv, Brook Galna, Lynn Rochester, Silvia Del Din, Lisa Alcock. sensors, 20(18):5377, 2020. [doi]

Gait Analysis with Wearables Can Accurately Classify Fallers from Non-Fallers: A Step toward Better Management of Neurological DisordersRana 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, 20(23):6992, 2020. [doi]

Detection of Gait From Continuous Inertial Sensor Data Using Harmonic FrequenciesMartin Ullrich, Arne Küderle, Julius Hannink, Silvia Del Din, Heiko Gaßner, Franz Marxreiter, Jochen Klucken, Björn M. Eskofier, Felix Kluge. titb, 24(7):1869-1878, 2020. [doi]

Classification of Neurological Patients to Identify Fallers Based on Spatial-Temporal Gait Characteristics Measured by a Wearable DeviceYuhan Zhou, Rana Zia Ur Rehman, Clint Hansen, Walter Maetzler, Silvia Del Din, Lynn Rochester, Tibor Hortobágyi, Claudine J. C. Lamoth. sensors, 20(15):4098, 2020. [doi]

2019

Evaluation of daily walking activity and gait profiles: a novel application of a time series analysis frameworkChristopher Buckley, Ríona Mc Ardle, Brook Galna, Alan Thomas, Lynn Rochester, Silvia Del Din. embc 2019: 2482-2485 [doi]

A Novel Parameterisation of Phase Plots for Monitoring of Parkinson's DiseaseMichael Dunne-Willows, Paul Watson 0001, Jian Shi, Lynn Rochester, Silvia Del Din. embc 2019: 5890-5893 [doi]

Deep Learning Techniques for Improving Digital Gait SegmentationMatteo Gadaleta, Giulia Cisotto, Michele Rossi, Rana Zia Ur Rehman, Lynn Rochester, Silvia Del Din. embc 2019: 1834-1837 [doi]

Comparison of Walking Protocols and Gait Assessment Systems for Machine Learning-Based Classification of Parkinson's DiseaseRana Zia Ur Rehman, Silvia Del Din, Jian Qing Shi, Brook Galna, Sue Lord, Alison J. Yarnall, Yu Guan, Lynn Rochester. sensors, 19(24):5363, 2019. [doi]

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. mbec, 54(2-3):401-410, 2016. [doi]

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 UseSilvia Del Din, Alan Godfrey, Lynn Rochester. titb, 20(3):838-847, 2016. [doi]

Accelerometer-based gait assessment: Pragmatic deployment on an international scaleSilvia Del Din, Aodhan Hickey, Simon Woodman, Hugo Hiden, Rosie Morris, Paul Watson, Kianoush Nazarpour, Michael Catt, Lynn Rochester, Alan Godfrey. gacm 2016: 1-5 [doi]

Towards holistic free-living assessment in Parkinson's disease: Unification of gait and fall algorithms with a single accelerometerAlan Godfrey, Alan Bourke, Silvia Del Din, Rosie Morris, Aodhan Hickey, Jorunn L. Helbostad, Lynn Rochester. embc 2016: 651-654 [doi]

Toward a low-cost gait analysis system for clinical and free-living assessmentCassim Ladha, Silvia Del Din, Kianoush Nazarpour, Aodhan Hickey, Rosie Morris, Michael Catt, Lynn Rochester, Alan Godfrey. embc 2016: 1874-1877 [doi]

2014

Within trial validation and reliability of a single tri-axial accelerometer for gait assessmentAlan Godfrey, Silvia Del Din, Gillian Barry, John C. Mathers, Lynn Rochester. embc 2014: 5892-5895 [doi]

2012

Innovative techniques for biomechanical evaluation of stroke survivorsSilvia Del Din. PhD thesis, University of Padua, Italy, 2012. [doi]

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2011

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