There is a significant increase in the geriatric population across the globe. With the increase
in the number of geriatric people and their associated health issues, the need for larger …

Background Subtle impairments in instrumental activities of daily living (IADLs) can be a key
predictor of disease progression and are considered central to functional independence …

This paper presents Vesta, a digital health platform composed of a smart home in a box for
data collection and a machine learning based analytic system for deriving health indicators …

The elderly population is increasing globally, putting more pressure on aged care and public
health systems. To address this issue and help increase the independence of older people …

Introduction The impact of disease-modifying agents on disease progression in Parkinson's
disease is largely assessed in clinical trials using clinical rating scales. These scales have …

The use of visual sensors for monitoring people in their living environments is critical in
processing more accurate health measurements, but their use is undermined by the issue of …

Background Successful post-knee replacement rehabilitation requires adequate access to
health information, social support, and periodic monitoring by a health professional. Mobile …

We present a case study that informs the creation of a'companion guide'providing
transparency to potential non-expert users of a ubiquitous machine learning (ML) platform …

The re-identification of people in private environments is a rather complicated task, not only
from a technical standpoint but also for the ethical issues connected to it. The lack of a …

Objectives Hip and knee replacements are common major elective surgical interventions
with over 200 000 performed annually in the UK. Not all patients achieve optimal outcomes …