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Browsing publications by Dr Silvia Del Din.

Newcastle AuthorsTitleYearFull text
Chiara Carissimo
Dr Silvia Del Din
Heloise Debelle
Emma Packer
Professor Lynn Rochester
et al.
A novel energy-based composite index for assessing motor state in Parkinson's disease by means of IMU-based Digital Health Technology2024
Dr Claire McDonald
Matt Birkbeck
Dr Silvia Del Din
Dr Gráinne Gorman
Dr Kieren Hollingsworth
et al.
A study protocol to investigate if Acipimox improves muscle function and sarcopenia –an open-label, uncontrolled, before-and-after experimental medicine feasibility study in community dwelling older adults.2024
Dr Lisa Alcock
Dr Encarna Mico Amigo
Dr Silvia Del Din
Algorithms for gait: technical and clinical validity.2024
Dr Ríona McArdle
Professor Lynn Rochester
Dr Silvia Del Din
Professor Ngaire Kerse
Characterising walking behaviours in aged residential care using accelerometery: a cross-sectional comparison of care level, cognitive status and physical function2024
Dr Encarna Mico Amigo
Dr Cameron Kirk
Dr Lisa Alcock
Philip Brown
Dr Alma Cantu
et al.
Correction to: Assessing real-world gait with digital technology? Validation, insights and recommendations from the Mobilise-D consortium (Journal of NeuroEngineering and Rehabilitation, (2023), 20, 1, (78), 10.1186/s12984-023-01198-5)2024
Professor Lynn Rochester
Dr Silvia Del Din
Digital mobility measures: a window into real-world severity and progression of Parkinson's disease2024
Dr Chloe Hinchliffe
Dr Silvia Del Din
DISPEL: a Python Framework for Developing Measures from Digital Health Technologies2024
Dr Silvia Del Din
Professor Lynn Rochester
Effects of an Exercise Program to Reduce Falls in Older People Living in Long-Term Care: A Randomized Controlled Trial2024
Dr Cameron Kirk
Dr Encarna Mico Amigo
Dr Lisa Alcock
Dr Alma Cantu
Dr Hugo Hiden
et al.
Mobilise-D insights to estimate real-world walking speed in multiple conditions with a wearable device.2024
Dr Rana Rehman
Dr Silvia Del Din
Novel analytics in the management of movement disorders2024
Dr Silvia Del Din
Pose-based Tremor Type and Level Analysis for Parkinson’s Disease from Video2024
Dr Cameron Kirk
Dr Philip Brown
Dr Carlos Echevarria
Professor Alison Yarnall
Professor Lynn Rochester
et al.
Real-world gait detection using a wrist-worn inertial sensor: validation study2024
Dr Encarna Mico Amigo
Dr Cameron Kirk
Dr Lisa Alcock
Philip Brown
Dr Carlos Echevarria
et al.
Real-world gait detection using a wrist-worn inertial sensor: Validation study2024
Dr Kirsty Scott
Dr Lisa Alcock
Philip Brown
Dr Silvia Del Din
Dr Cameron Kirk
et al.
A multi-sensor wearable system for the assessment of diseased gait in real-world conditions2023
Dr Kirsty Scott
Dr Lisa Alcock
Dr Silvia Del Din
Dr Christine Hansen
A robust walking detection algorithm using a single foot-worn inertial sensor: validation in real-life settings2023
Dr Encarna Mico Amigo
Dr Cameron Kirk
Dr Lisa Alcock
Dr Philip Brown
Dr Alma Cantu
et al.
Assessing real-world gait with digital technology? Validation, insights and recommendations from the Mobilise-D consortium2023
Dr Ríona McArdle
Dr Calum Hamilton
Dr Silvia Del Din
Dr Andrew Kingston
Dr Louise Robinson
et al.
Associations between local area deprivation and physical activity participation in people with cognitive impairment in the North East of England2023
Dr Cameron Kirk
Dr Rana Rehman
Dr Brook Galna
Dr Lisa Alcock
Professor Lynn Rochester
et al.
Can Digital Mobility Assessment Enhance the Clinical Assessment of Disease Severity in Parkinson’s Disease?2023
Dr Lisa Alcock
Philip Brown
Dr Alma Cantu
Dr Silvia Del Din
Dr Cameron Kirk
et al.
Ecological validity of a deep learning algorithm to detect gait events from real-life walking bouts in mobility-limiting diseases.2023
Chiara Carissimo
Heloise Debelle
Emma Packer
Professor Alison Yarnall
Professor Lynn Rochester
et al.
Enhancing remote monitoring and classification of motor state in Parkinson's disease using Wearable Technology and Machine Learning2023
Heloise Debelle
Emma Packer
Harry Bailey
Dr Ríona McArdle
Dr Phillip Brown
et al.
Feasibility and usability of a digital health technology system to monitor mobility and assess medication adherence in mild-to-moderate Parkinson's disease2023
Sherron Furtado
Dr Alan Godfrey
Dr Silvia Del Din
Professor Lynn Rochester
Craig Gerrand
et al.
Free-living monitoring of ambulatory activity after treatments for lower extremity musculoskeletal cancers using an accelerometer-based wearable – a new paradigm to outcome assessment in musculoskeletal oncology?2023
Dr Javad Sarvestan
Dr Silvia Del Din
Dr Lisa Alcock
Gait event detection in cerebellar ataxia: A single vs. multiple sensor approach2023
Dr Chloe Hinchliffe
Dr Rana Rehman
Dan Jackson
Dr Kristen Davies
Victoria Macrae
et al.
Identification of Fatigue and Sleepiness in Immune and Neurodegenerative Disorders from Measures of Real-World Gait Variability2023
Dr Javad Sarvestan
Dr Silvia Del Din
Dr Lisa Alcock
Inertial sensors on the feet, rather than lumbar sensor only, increase sensitivity of spatio-temporal gait measures to longitudinal progression in ataxia2023
Dr Lisa Alcock
Dr Philip Brown
Dr Carlos Echevarria
Dr Kirsty Scott
Professor Lynn Rochester
et al.
Laboratory and free-living gait performance in adults with COPD and healthy controls2023
Dr Silvia Del Din
Dr Javad Sarvestan
Lower limb kinematics, coordination and muscular activity responses to mobile phone use during gait 2023
Dr Silvia Del Din
Dr Hugo Hiden
Professor Lynn Rochester
Mobility recorded by wearable devices and gold standards: the Mobilise-D procedure for data standardization.2023
Dr Alma Cantu
Dr Encarna Mico Amigo
Dr Silvia Del Din
Dr Sara Fernstad
Parallel Assemblies Plot, a visualization tool to explore categorical and quantitative data: application to digital mobility outcomes2023
Dr Ríona McArdle
Dr Silvia Del Din
Physical activity in community-dwelling older adults: which real-world accelerometry measures are robust? A systematic review2023
Professor Lynn Rochester
Dr Silvia Del Din
The challenges and opportunities for remotely evaluating movement disorders2023
Gemma Bate
Dr Cameron Kirk
Dr Rana Rehman
Dr Yu Guan
Professor Alison Yarnall
et al.
The Role of Wearable Sensors to Monitor Physical Activity and Sleep Patterns in Older Adult Inpatients: A Structured Review2023
Professor Richard Walker
Dr Tash Fothergill-Misbah
Dr Matthew Breckons
Dr Silvia Del Din
Dr Catherine Dotchin
et al.
Transforming Parkinson's Care in Africa (TraPCAf): Protocol for a multimethodology National Institute for Health and Care Research Global Health Research Group project2023
Emma Packer
Heloise Debelle
Harry Bailey
Professor Alison Yarnall
Professor Lynn Rochester
et al.
Translating digital healthcare to enhance clinical management: a protocol for an observational study utilising a digital health technology system to monitor medication adherence and its effect on mobility in people with Parkinson’s.2023
Dr Ríona McArdle
Dr Silvia Del Din
Professor Alan Thomas
Professor Dame Louise Robinson
Professor Ngaire Kerse
et al.
Using digital technology to quantify habitual physical activity in community-dwellers with cognitive impairment: A systematic review2023
Dr Khalid Abdul Jabbar
Dr Javad Sarvestan
Dr Rana Rehman
Professor Ngaire Kerse
Dr Silvia Del Din
et al.
Validation of an Algorithm for Measurement of Sedentary Behaviour in Community-Dwelling Older Adults2023
Dr Mhairi MacLean
Dr Rana Rehman
Professor Lynn Rochester
Dr 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 Back2023
Dr Pat McCue
Dr Lisa Shaw
Dr Silvia Del Din
Dr Susan Lord
Dr Christopher Price
et al.
Acceptability and deliverability of an auditory rhythmical cueing (ARC) training programme for use at home and outdoors to improve gait and physical activity post-stroke2022
Dr Alaa Abouhajar
Dr Lisa Alcock
Dr Theophile Bigirumurame
Penny Bradley
Laura Brown
et al.
Acipimox in Mitochondrial Myopathy (AIMM): study protocol for a randomised, double-blinded, placebo-controlled, adaptive design trial of the efficacy of acipimox in adult patients with mitochondrial myopathy2022
Dr Kirsty Scott
Dr Lisa Alcock
Dr Silvia Del Din
Professor Lynn Rochester
An algorithm for accurate marker-based gait event detection in healthy and pathological populations during complex motor tasks.2022
Dr Ríona McArdle
Dr Calum Hamilton
Dr Silvia Del Din
Dr Andrew Kingston
Professor Dame Louise Robinson
et al.
Associations between local area deprivation and physical activity in cognitively impaired people: an accelerometry study2022
Dr Lisa Shaw
Dr Pat McCue
Philip Brown
Professor Christopher Buckley
Dr Silvia Del Din
et al.
Auditory rhythmical cueing to improve gait in community-dwelling stroke survivors (ACTIVATE): a pilot randomised controlled trial2022
Dr Kirsty Scott
Dr Lisa Alcock
Dr Silvia Del Din
Isabel Neatrour
Professor Lynn Rochester
et al.
Design and validation of a multi-task, multi-context protocol for real-world gait simulation2022
Dr Ríona McArdle
Dr Silvia Del Din
Dr Lisa Alcock
Professor Alison Yarnall
Professor David Burn
et al.
Factors Influencing Habitual Physical Activity in Parkinson’s Disease: Considering the Psychosocial State and Wellbeing of People with Parkinson’s and Their Carers2022
Dr Rana Rehman
Dr Yu Guan
Dr Jian Shi
Dr Lisa Alcock
Professor Alison Yarnall
et al.
Investigating the Impact of Environment and Data Aggregation by Walking Bout Duration on Parkinson’s Disease Classification Using Machine Learning2022
Dr Silvia Del Din
Dr Andrew Kingston
Optimising function and well-being in older adults: Protocol for an integrated research programme in Aotearoa/New Zealand2022
Dr Rana Rehman
Professor Lynn Rochester
Dr Silvia Del Din
Professor Ngaire Kerse
Walking is associated with physical capacity and fatigue but not cognition in long-term care residents2022
Dr Silvia Del Din
Elke Warmerdam
Professor Lynn Rochester
Walking Parameters of Older Adults from a Lower Back Inertial Measurement Unit, a Six-Year Longitudinal Observational Study2022
Dr Ríona McArdle
Steph Pratt
Dr Chris Buckley
Dr Silvia Del Din
Dr Brook Galna
et al.
Balance Impairments as Differential Markers of Dementia Disease Subtype2021
Dr Silvia Del Din
Cameron Kirk
Professor Alison Yarnall
Professor Lynn Rochester
Body-Worn Sensors for Remote Monitoring of Parkinson’s Disease Motor Symptoms: Vision, State of the Art, and Challenges Ahead2021
Dr Silvia Del Din
Professor Lynn Rochester
Consensus based framework for digital mobility monitoring2021
Professor Lynn Rochester
Dr Silvia Del Din
Detecting Sensitive Mobility Features for Parkinson's Disease Stages Via Machine Learning2021
Dr Silvia Del Din
Professor Alison Yarnall
Professor Lynn Rochester
Exenatide once weekly over 2 years as a potential disease modifying treatment for Parkinson's disease: protocol for a multi-centre, randomised, double blind, parallel group, placebo controlled, Phase 3 trial, The 'Exenatide-PD3' study2021
Dr Ríona McArdle
Dr Silvia Del Din
Professor Alison Yarnall
Gait analysis as a clinical tool for dementia: current perspectives and future challenges2021
Dr Rana Rehman
Professor Lynn Rochester
Professor Alison Yarnall
Dr Silvia Del Din
Predicting the Progression of Parkinson’s Disease MDS-UPDRS-III Motor Severity Score from Gait Data using Deep Learning.2021
Dr Ríona McArdle
Dr Silvia Del Din
Professor Lynn Rochester
Quantifying physical activity in aged residential care facilities: A structured review2021
Dr Ríona McArdle
Dr Silvia Del Din
Dr Paul Donaghy
Dr Brook Galna
Professor Alan Thomas
et al.
The Impact of Environment on Gait Assessment: Considerations from Real-World Gait Analysis in Dementia Subtypes2021
Dr Silvia Del Din
Wild by Design: Workshop on Designing Ubiquitous Health Monitoring Technologies for Challenging Environments.2021
Dr Rana Rehman
Professor Christopher Buckley
Dr Encarna Mico Amigo
Michael Dunne-Willows
Dr Jian Shi
et al.
Accelerometry-based digital gait characteristics for classification of Parkinson’s disease: what counts?2020
Dr Silvia Del Din
Dr Kirsty Scott
An objective methodology for the selection of a device for continuous mobility assessment 2020
Sherron Furtado
Dr Alan Godfrey
Dr Silvia Del Din
Professor Lynn Rochester
Craig Gerrand
et al.
Are Accelerometer-based Functional Outcome Assessments Feasible and Valid After Treatment for Lower Extremity Sarcomas?2020
Dr Pat McCue
Dr Silvia Del Din
Professor Christopher Price
Dr Lisa Shaw
Emerita Professor Helen Rodgers
et al.
Auditory rhythmical cueing to improve gait and physical activity in community dwelling stroke survivors (ACTIVATE): study protocol for a pilot randomised controlled trial2020
Dr Rana Rehman
Dr Silvia Del Din
Professor Lynn Rochester
Classification of Neurological Patients to Identify Fallers Based on Spatial-Temporal Gait Characteristics Measured by a Wearable Device.2020
Dr Silvia Del Din
Professor Alison Yarnall
Professor Lynn Rochester
Continuous Real-World Gait Monitoring in Idiopathic REM Sleep Behavior Disorder2020
Dr Silvia Del Din
Detection of gait from continuous inertial sensor data using harmonic frequencies2020
Dr Ríona McArdle
Dr Silvia Del Din
Dr Brook Galna
Professor Alan Thomas
Professor Lynn Rochester
et al.
Differentiating dementia disease subtypes with gait analysis: feasibility of wearable sensors? 2020
Dr Jian Shi
Professor Lynn Rochester
Dr Silvia Del Din
Dr Annette Pantall
Entropy of Real-World Gait in Parkinson’s Disease Determined from Wearable Sensors as a Digital Marker of Altered Ambulatory Behavior2020
Dr Susan Lord
Professor Lynn Rochester
Dr Silvia Del Din
Professor Christopher Buckley
Professor Ngaire Kerse
et al.
Evaluating the effects of an exercise program (Staying UpRight) for older adults in long-term care on rates of falls: study protocol for a randomised controlled trial2020
Dr Ríona McArdle
Dr Silvia Del Din
Dr Paul Donaghy
Dr Brook Galna
Professor Alan Thomas
et al.
Factors that influence habitual activity in mild cognitive impairment and dementia2020
Dr Silvia Del Din
Dr Brook Galna
Dr Susan Lord
Professor Lynn Rochester
Falls risk in relation to activity exposure in high risk older adults2020
Dr Rana Rehman
Dr Silvia Del Din
Dr Lisa Alcock
Dr Yu Guan
Professor Lynn Rochester
et al.
Gait Analysis with Wearables can Accurately Classify Fallers from Non-Fallers: A Step toward Better Management of Neurological Disorders2020
Dr Christopher Buckley
Michael Dunne-Willows
Professor Lynn Rochester
Dr Silvia Del Din
Sarah Moore
et al.
Gait Asymmetry Post-Stroke: Determining Valid and Reliable Methods Using a Single Accelerometer Located on the Trunk2020
Dr Silvia Del Din
Grace Lewis
Dr Keith Gray
Professor Lynn Rochester
Dr Catherine Dotchin
et al.
Monitoring walking activity with wearable technology in rural-dwelling older adults in Tanzania: a feasibility study nested within a frailty prevalence study2020
Dr Chris Buckley
Dr Silvia Del Din
Dr Susan Lord
Professor Lynn Rochester
Professor Ngaire Kerse
et al.
Quantifying Reliable Walking Activity with a Wearable Device in Aged Residential Care: How Many Days Are Enough?2020
Professor Lynn Rochester
Dr Silvia Del Din
Tossing and turning in bed: Nocturnal movements in Parkinson's disease 2020
Dr Rana Rehman
Philipp Klocke
Sofia Hryniv
Dr Brook Galna
Professor Lynn Rochester
et al.
Turning detection during gait: Algorithm validation and influence of sensor location and turning characteristics in the classification of Parkinson’s disease2020
Michael Dunne-Willows
Professor Paul Watson
Dr Jian Shi
Dr Silvia Del Din
A Novel Parameterisation of Phase Plots for Monitoring of Parkinson’s Disease2019
Dr Silvia Del Din
Dr Brook Galna
Dr Alan Godfrey
Professor Lynn Rochester
Analysis of free-living gait in older adults with and without Parkinson's disease and with and without a history of falls: identifying generic and disease specific characteristics2019
Dr Silvia Del Din
Professor Lynn Rochester
Associations between daily-living physical activity and laboratory-based assessments of motor severity in patients with falls and Parkinson's disease2019
Dr Rana Rehman
Dr Silvia Del Din
Dr Jian Shi
Dr Brook Galna
Professor Alison Yarnall
et al.
Comparison of walking protocols and gait assessment systems for machine learning based classification of Parkinson’s disease2019
Dr Rana Rehman
Professor Lynn Rochester
Dr Silvia Del Din
Deep Learning Techniques for Improving Digital Gait Segmentation2019
Dr Christopher Buckley
Dr Ríona McArdle
Dr Brook Galna
Professor Alan Thomas
Professor Lynn Rochester
et al.
Evaluation of daily walking activity and gait profiles: a novel application of a time series analysis framework2019
Dr Silvia Del Din
Dr Brook Galna
Elke Warmerdam
Professor Lynn Rochester
Gait analysis with wearables predicts conversion to Parkinson’s disease2019
Professor Lynn Rochester
Professor Marcellinus Olde Rikkert
Dr Silvia Del Din
Is every-day walking in older adults more analogous to dual-task walking or to usual walking? Elucidating the gaps between gait performance in the lab and during 24/7 monitoring.2019
Dr Silvia Del Din
Dr Brook Galna
Professor Lynn Rochester
Reply to “Quantitative Motor Functioning in Prodromal Parkinson Disease”2019
Dr Rana Rehman
Dr Silvia Del Din
Dr Yu Guan
Professor Alison Yarnall
Dr Jian Shi
et al.
Selecting Clinically Relevant Gait Characteristics for Classification of Early Parkinson’s Disease: A Comprehensive Machine Learning Approach2019
Dr Christopher Buckley
Dr Lisa Alcock
Dr Ríona McArdle
Dr Rana Rehman
Dr Silvia Del Din
et al.
The role of movement analysis in diagnosing and monitoring neurodegenerative conditions: Insights from gait and postural control2019
Professor Fraser Birrell
Dr Silvia Del Din
Dr Susan Lord
Professor John Mathers
Developing a toolkit for the assessment and monitoring of musculoskeletal ageing2018
Dr Susan Lord
Professor Lynn Rochester
Dr Silvia Del Din
Discerning the contribution of balance and mobility to physical activity in community-dwelling octogenarians: A preliminary report.2018
Dr Silvia Del Din
Professor Lynn Rochester
Estimation of spatio-temporal parameters of gait from magneto-inertial measurement units: multicenter validation among Parkinson, mildly cognitively impaired and healthy older adults.2018
Dr Silvia Del Din
Professor Lynn Rochester
Everyday stepping quantity and quality among older adult fallers with and without mild cognitive impairment: Initial evidence for new motor markers of cognitive deficits?2018
Dr Ríona McArdle
Dr Rosie Morris
Aodhan Hickey
Dr Silvia Del Din
Professor Alan Thomas
et al.
Gait in Mild Alzheimer’s Disease: Feasibility of Multi-Center Measurement in the Clinic and Home with Body-Worn Sensors: A Pilot Study2018
Dr Annette Pantall
Dr Silvia Del Din
Professor Lynn Rochester
Longitudinal changes over thirty-six months in postural control dynamics and cognitive function in people with Parkinson's disease2018
Dr Annette Pantall
Professor Alison Yarnall
Dr Silvia Del Din
Professor Lynn Rochester
Postural dynamics are associated with cognitive decline in Parkinson's disease2018
Dr Rosie Morris
Aodhan Hickey
Dr Silvia Del Din
Dr Alan Godfrey
Dr Susan Lord
et al.
A model of free-living gait; a factor analysis in Parkinson's disease2017
Sarah Moore
Aodhan Hickey
Dr Susan Lord
Dr Silvia Del Din
Dr Alan Godfrey
et al.
Comprehensive measurement of stroke gait characteristics with a single accelerometer in the laboratory and community. A feasibility, validity and reliability study2017
Aodhan Hickey
Dr Silvia Del Din
Professor Lynn Rochester
Dr Alan Godfrey
Detecting free-living steps and walking bouts: validating an algorithm for macro gait analysis2017
Dr Silvia Del Din
Home-Based Physical Behavior in Late Stage Parkinson Disease Dementia: Differences between Cognitive Subtypes2017
Dr Silvia Del Din
Professor Lynn Rochester
Validation of a Step Detection Algorithm during Straight Walking and Turning in Patients with Parkinson’s Disease and Older Adults using an Inertial Measurement Unit at the Lower Back2017
Dr Silvia Del Din
Aodhan Hickey
Dr Simon Woodman
Dr Hugo Hiden
Rosie Morris
et al.
Accelerometer-based gait assessment: pragmatic deployment on an international scale2016
Professor Lynn Rochester
Dr Silvia Del Din
Dr Lisa Alcock
Addition of a non-immersive virtual reality component to treadmill training to reduce fall risk in older adults (V-TIME): a randomised controlled trial2016
Dr Alan Godfrey
Dr Rosie Morris
Aodhan Hickey
Dr Silvia Del Din
Beyond the front end: investigating a thigh worn accelerometer device for step count and bout detection in Parkinson's disease2016
Aodhan Hickey
Dr James Newham
Dominika Kwasnicka
Dr Suzanne McDonald
Dr Silvia Del Din
et al.
Estimating cut points: a simple method for new wearables2016
Dr Silvia Del Din
Dr Alan Godfrey
Dr Brook Galna
Dr Susan Lord
Professor Lynn Rochester
et al.
Free-living gait characteristics in ageing and Parkinson's disease: impact of environment and ambulatory bout length2016
Dr Silvia Del Din
Dr Alan Godfrey
Dr Susan Lord
Professor Lynn Rochester
Free-living monitoring of Parkinson’s disease: lessons from the field2016
Dr Silvia Del Din
Aodhan Hickey
Dr Sam Stuart
Dr Anne-Marie Bourke
Professor Lynn Rochester
et al.
Instrumenting gait with a single wearable: an introductory tutorial2016
Dr Silvia Del Din
Aodhan Hickey
Professor John Mathers
Professor Lynn Rochester
Dr Alan Godfrey
et al.
Measuring gait with an accelerometer-based wearable: influence of device location, testing protocol and age2016
Dr Silvia Del Din
Dr Alan Godfrey
Dr Shirley Coleman
Dr Brook Galna
Dr Susan Lord
et al.
Time-dependent changes in postural control in early Parkinson's disease: what are we missing?2016
Dr Silvia Del Din
Professor Kianoush Nazarpour
Aodhan Hickey
Dr Rosie Morris
Professor Mike Catt
et al.
Toward a low-cost gait analysis system for clinical and free-living assessment2016
Dr Alan Godfrey
Dr Anne-Marie Bourke
Dr Silvia Del Din
Dr Rosie Morris
Aodhan Hickey
et al.
Towards holistic free-living assessment in Parkinson's disease: unification of gait and fall algorithms with a single accelerometer2016
Dr Silvia Del Din
Dr Alan Godfrey
Professor 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 Use2016
Aodhan Hickey
Dr Lisa Alcock
Dr Silvia Del Din
Dr Alan Godfrey
Professor Lynn Rochester
et al.
Validity of a wearable accelerometer to quantify gait in Spinocerebellar Ataxia Type 62016
Dr Elizabeth Hill
Dr Sam Stuart
Dr Susan Lord
Dr Silvia Del Din
Professor Lynn Rochester
et al.
Vision, visuo-cognition and postural control in Parkinson's disease: An associative pilot study2016
Dr Silvia Del Din
Dr Alan Godfrey
Dr Brook Galna
Professor Lynn Rochester
Accelerometer based free-living data: does macro gait behaviour differ between fallers and non-fallers with and without Parkinson's disease?2015
Dr Silvia Del Din
Dr Alan Godfrey
Dr Brook Galna
Professor Lynn Rochester
Accelerometer based free-living data: does macro gait behaviour differ between fallers and non-fallers with and without Parkinson's disease?2015
Dr Alan Godfrey
Dr Jose Lara-Gallegos
Dr Silvia Del Din
Aodhan Hickey
Dr Alex Munro
et al.
iCap: instrumented assessment of physical capability2015
Dr Alan Godfrey
Dr Jose Lara-Gallegos
Dr Alex Munro
Shobir Chowdhury
Dr Silvia Del Din
et al.
Instrumented assessment of test battery for physical capability using an accelerometer: a feasibility study2015
Dr Alan Godfrey
Dr Silvia Del Din
Dr Gillian Barry
Professor John Mathers
Professor Lynn Rochester
et al.
Instrumenting gait with an accelerometer: a system and algorithm examination2015
Dr Silvia Del Din
Assessment of biofeedback rehabilitation in post-stroke patients combining fMRI and gait analysis: a case study2014
Professor Alison Yarnall
Dr Silvia Del Din
Dr Brook Galna
Professor Mark Baker
Professor David Burn
et al.
Postural control stabilises over the first 30 seconds of quiet standing in Parkinson’s disease: time series analysis2014
Dr Alan Godfrey
Dr Silvia Del Din
Gillian Barry
Professor John Mathers
Professor Lynn Rochester
et al.
Within trial validation and reliability of a single tri-axial accelerometer for gait assessment2014
Dr Silvia Del Din
Dr Alan Godfrey
Professor Lynn Rochester
A comparison of commercial systems to evaluate postural control during clinical testing.2013
Dr Silvia Del Din
Dr Alan Godfrey
Dr Brook Galna
Dr Susan Lord
Professor Lynn Rochester
et al.
Accelerometry based assessment of anti-parkinsonian medication on postural control.2013
Dr Silvia Del Din
Development of a marker based methodology for the evaluation of spine mobility in Ankylosing Spondylitis2013
Dr Alan Godfrey
Dr Silvia Del Din
Dr Brook Galna
Professor John Mathers
Professor Lynn Rochester
et al.
Postural control during standing balance as a biomarker for healthy ageing.2013
Dr Silvia Del Din
Underwater Gait Analysis: A Markerless Approach2013
Dr Silvia Del Din
Dr Alan Godfrey
Dr Brook Galna
Dr Susan Lord
Professor Lynn Rochester
et al.
Variability Of Postural Control With Time In Parkinson’s Disease2013
Dr Silvia Del Din
A Low-Power Multi-Modal Body Sensor Network with application to Epileptic Seizure Monitoring2012
Dr Silvia Del Din
Biomechanical assessment of balance and posture in subjects with ankylosing spondylitis2012
Dr Silvia Del Din
Reliability assessment of a marker based methodology for the evaluation of spine mobility in ankylosing spondylitis2012
Dr Silvia Del Din
Estimating Fugl-Meyer Clinical Scores in Stroke Survivors Using Wearable Sensors.2011
Dr Silvia Del Din
Impaired gait in ankylosing spondylitis.2011