The RESILIENT Dataset: Multimodal Monitoring of Ageing-Related Comorbidities and Cognitive Decline

Abstract

The growing ageing population and prevalence of comorbidities pose significant healthcare challenges, from increasing hospitalisations to dementia risk. Healthcare systems primarily treat single conditions, overlooking the complex interplay of chronic diseases. Advances in wearable technology and remote healthcare monitoring technologies offer opportunities to enhance management of comorbidities and early intervention to improve healthcare outcomes. This study presents the RESILIENT dataset, a collection of physiological, sleep, and mental health assessment data conducted as part of an ageing-related comorbidities and dementia study. The RESILIENT study has developed a digital platform to integrate data from wearable devices and in-home monitoring technologies to track physiological, sleep, and cognitive patterns. The validation analysis using the Resilient data highlights correlations between cognitive function, mental health, physical activity, and sleep, aligning with existing literature. By leveraging this dataset, researchers can develop predictive models for early detection and personalised interventions aimed at reducing unplanned hospital admissions and improving health outcomes. The study provides technical foundations and pilot validation for constructing virtual wards to support and complement healthcare services.

Fig. 1

RESILIENT platform architecture: an open-source digital solution designed to integrate data from remote healthcare monitoring. The platform integrates data from Withings wearable devices. The processing infrastructure handles secure data acquisition, storage in a relational database, and the generation of healthcare and usage PDF reports. The web-based application provides healthcare professionals with an intuitive interface for data visualisation, report generation, and raw data access.

Fig. 2

Overview of cumulative number of participants and their durations in the study.

Fig. 3

Overview of baseline assessment scores by histograms, including sex-stratified distributions.

Fig. 4

Comparing the distributions of daily steps, sleep duration, and average heart rate between sex and age groups.

Fig. 5

Heatmaps showing correlations between baseline mental health assessments and sleep measures recorded by the sleep mat over a 7-day period following the assessment date: (a) sleep states in males, (b) sleep states in females.

Fig. 6

Heatmaps showing correlations between baseline mental health assessments and physiological measures recorded by the watch over a 7-day period following the assessment date: (a) heart rate and step counts in males, (b) heart rate and step counts in females.

Fig. 7

Aligned trajectories of sleep state durations and daily step counts for two participants with contrasting profiles: one with intact cognitive function and low risk of depression and anxiety, and the other with impaired cognitive function and an elevated risk of depression. Baseline assessments were completed for all mental health measures, with a 6-month follow-up for the ACE-III.