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Silvia Del Din
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2020 – today
- 2024
- [j21]Haozheng Zhang
, Edmond S. L. Ho
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
A wearable sensor and machine learning estimate step length in older adults and patients with neurological disorders. npj Digit. Medicine 7(1) (2024) - [c15]Chiara Carissimo, Gianni Cerro, Gianfranco Miele, Héloïse Debelle, E. 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 - 2023
- [j19]Gaëlle Prigent
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
Validation of an Algorithm for Measurement of Sedentary Behaviour in Community-Dwelling Older Adults. Sensors 23(10): 4605 (2023) - [j17]Gemma L. Bate
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
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
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
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
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
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
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
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
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
Wild by Design: Workshop on Designing Ubiquitous Health Monitoring Technologies for Challenging Environments. UbiComp/ISWC Adjunct 2021: 508-510 - 2020
- [j12]Christopher Buckley
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
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
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
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
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
An Objective Methodology for the Selection of a Device for Continuous Mobility Assessment. Sensors 20(22): 6509 (2020) - [j6]Rana Zia Ur Rehman
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
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
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
Deep Learning Techniques for Improving Digital Gait Segmentation. EMBC 2019: 1834-1837 - [c8]Christopher Buckley
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
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
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
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
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
Toward a low-cost gait analysis system for clinical and free-living assessment. EMBC 2016: 1874-1877 - [c4]Silvia Del Din
Accelerometer-based gait assessment: Pragmatic deployment on an international scale. SSP 2016: 1-5 - 2014
- [c3]Alan Godfrey
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
Impaired gait in ankylosing spondylitis. Medical Biol. Eng. Comput. 49(7): 801-809 (2011) - [c2]Marco Altini, Silvia Del Din
A low-power multi-modal body sensor network with application to epileptic seizure monitoring. EMBC 2011: 1806-1809 - [c1]Silvia Del Din
Estimating fugl-meyer clinical scores in stroke survivors using wearable sensors. EMBC 2011: 5839-5842
Coauthor Index
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last updated on 2024-11-22 19:44 CET by the dblp team
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