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Browsing publications by Dr Silvia Del Din

Newcastle AuthorsTitleYearFull text
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 Pat McCue
Dr Silvia Del Din
Professor Christopher Price
Dr Lisa Shaw
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
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
Detection of gait from continuous inertial sensor data using harmonic frequencies2020
Dr Riona 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 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 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
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