Contactless longitudinal monitoring of ageing and dementia-related sleep trajectories in the home

Contactless longitudinal monitoring of ageing and dementia-related sleep trajectories in the home | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Article Contactless longitudinal monitoring of ageing and dementia-related sleep trajectories in the home Eyal Soreq, Magdalena Kolanko, Kiran Kumar Guruswamy Ravindran, and 15 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-4523167/v1 This work is licensed under a CC BY 4.0 License Status: Under Review Version 1 posted You are reading this latest preprint version Abstract Disturbed sleep is common in ageing and dementia, but objectively quantifying it over time is challenging. We validated a contactless under-mattress pressure sensor and developed a data analysis method to assess sleep patterns in the home over long periods. Data from 13,588 individuals (3.7 million nights) from the general population were compared to a dementia cohort of 93 patients (>40,000 nights). Dementia was associated with heterogeneous sleep disturbances primarily characterised by advanced and delayed sleep timing, longer time in bed, and more bed exits. Explainable machine learning was used to derive the Dementia Research Institute Sleep Index (DRI-SI), a digital biomarker quantifying sleep disturbances and their evolution. The DRI-SI can detect the effects of acute clinical events and dementia progression at the individual level. This approach bridges a gap in dementia care by providing a feasible method for monitoring health events, disease progression and dementia risk. Health sciences/Neurology/Neurological disorders/Dementia Health sciences/Biomarkers/Predictive markers Health sciences/Medical research/Translational research Health sciences/Risk factors Full Text Additional Declarations Yes there is potential Competing Interest. The authors declare the following competing interests: Marie-Ange Stefanos, Benjamin Vittrant, and Paul de Villèle are employees of Withings Inc., the manufacturer of the main sensor used to monitor sleep metrics. Withings Inc. also provided the population data used in this study. Their contributions were limited to providing the data and offering minor comments on the manuscript. The remaining authors declare no competing interests. Cite Share Download PDF Status: Under Review Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. 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Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-4523167","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Article","associatedPublications":[],"authors":[{"id":312777526,"identity":"1acdc477-8326-4ebd-843b-138d2e68f679","order_by":0,"name":"Eyal 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