Intrinsic capacitiy monitoring by digital biomarkers in integrated care for older people (ICOPE)
The WHO action plan on aging expects to change current clinical practices by promoting a
more personalized model of medicine. To widely promote this initiative and achieve this …
more personalized model of medicine. To widely promote this initiative and achieve this …
[HTML][HTML] Real-life gait performance as a digital biomarker for motor fluctuations: the Parkinson@ Home validation study
Background Wearable sensors have been used successfully to characterize bradykinetic
gait in patients with Parkinson disease (PD), but most studies to date have been conducted …
gait in patients with Parkinson disease (PD), but most studies to date have been conducted …
[HTML][HTML] The collaborative aging research using technology initiative: an open, sharable, technology-agnostic platform for the research community
Introduction: Future digital health research hinges on methodologies to conduct remote
clinical assessments and in-home monitoring. The Collaborative Aging Research Using …
clinical assessments and in-home monitoring. The Collaborative Aging Research Using …
Smart home technology to support older people's quality of life: a longitudinal pilot study
Aim This pilot study aimed to explore the impact of Smart Home technology to support older
people's quality of life, particularly for those who live alone. Background There has been an …
people's quality of life, particularly for those who live alone. Background There has been an …
A scoping review of the predictive qualities of walking speed in older adults
G Hainline, RD Hainline, R Handlery… - Journal of geriatric …, 2024 - journals.lww.com
Background and Purpose: Walking speed (WS) is an easily assessable and interpretable
functional outcome measure with great utility for the physical therapist providing care to …
functional outcome measure with great utility for the physical therapist providing care to …
A systems approach towards remote health-monitoring in older adults: Introducing a zero-interaction digital exhaust
N Schütz, SEJ Knobel, A Botros, M Single, B Pais… - NPJ digital …, 2022 - nature.com
Using connected sensing devices to remotely monitor health is a promising way to help
transition healthcare from a rather reactive to a more precision medicine oriented proactive …
transition healthcare from a rather reactive to a more precision medicine oriented proactive …
Vision-based assessment of gait features associated with falls in people with dementia
S Mehdizadeh, E Dolatabadi, KD Ng… - The Journals of …, 2020 - academic.oup.com
Background Gait impairments contribute to falls in people with dementia. In this study, we
used a vision-based system to record episodes of walking over a 2-week period as …
used a vision-based system to record episodes of walking over a 2-week period as …
MGait: Model-Based Gait Analysis Using Wearable Bend and Inertial Sensors
Movement disorders, such as Parkinson's disease, affect more than 10 million people
worldwide. Gait analysis is a critical step in the diagnosis and rehabilitation of these …
worldwide. Gait analysis is a critical step in the diagnosis and rehabilitation of these …
Wearable sensor-based chronic condition severity assessment: An adversarial attention-based deep multisource multitask learning approach
Advancing the quality of healthcare for senior citizens with chronic conditions is of great
social relevance. To better manage chronic conditions, objective, convenient, and …
social relevance. To better manage chronic conditions, objective, convenient, and …
Identifying fall risk predictors by monitoring daily activities at home using a depth sensor coupled to machine learning algorithms
A Dubois, T Bihl, JP Bresciani - Sensors, 2021 - mdpi.com
Because of population ageing, fall prevention represents a human, economic, and social
issue. Currently, fall-risk is assessed infrequently, and usually only after the first fall …
issue. Currently, fall-risk is assessed infrequently, and usually only after the first fall …