A multimodal dataset of real world mobility activities in Parkinson's disease

C Morgan, EL Tonkin, A Masullo, F Jovan, A Sikdar… - Scientific data, 2023 - nature.com
Parkinson's disease (PD) is a neurodegenerative disorder characterised by motor symptoms
such as gait dysfunction and postural instability. Technological tools to continuously monitor …

Automated real-world video analysis of sit-to-stand transitions predicts parkinson's disease severity

C Morgan, A Masullo, M Mirmehdi, HK Isotalus… - Digital …, 2023 - karger.com
Introduction: Technology holds the potential to track disease progression and response to
neuroprotective therapies in Parkinson's disease (PD). The sit-to-stand (STS) transition is a …

The Shifting Sands of Labour: Changes in Shared Care Work with a Smart Home Health System

E Soubutts, E Czech, A Ayobi, R Eardley… - Proceedings of the …, 2023 - dl.acm.org
Whilst the use of smart home systems has shown promise in recent years supporting older
people's activities at home, there is more evidence needed to understand how these …

[HTML][HTML] Understanding how people with Parkinson's disease turn in gait from a real-world in-home dataset

C Morgan, J Jameson, I Craddock, EL Tonkin… - Parkinsonism & Related …, 2022 - Elsevier
Introduction Turning in gait digital parameters may be useful in measuring disease
progression in Parkinson's disease (PD), however challenges remain over algorithm …

[PDF][PDF] Aging in place together: journeys towards adoption and acceptance of smart home healthcare technology

E Soubutts - 2023 - research-information.bris.ac.uk
This thesis responds to the aging population crisis specifically within the UK, which sees the
older adults increasing in proportion to other demographics. Consumer smart home …

[PDF][PDF] Uncertainty aware classification

MP NIETO - 2023 - core.ac.uk
Multiclass classification in machine learning allows the automation of optimal decision
making by means of learning algorithms and annotated datasets. However, it is still difficult …