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Home wireless sensing system for monitoring nighttime agitation and incontinence in patients with Alzheimer's disease

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John A. StankovicAuthors Info & Claims

WH '15: Proceedings of the conference on Wireless Health

Article No.: 5, Pages 1 - 8

https://doi.org/10.1145/2811780.2822324

Published: 14 October 2015 Publication History

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Abstract

Patients with Alzheimer's Disease (AD) often experience urinary incontinence and agitation during sleep. There is some evidence that these phenomena are related, but the relationships (and the subsequent opportunity for caregiver intervention) has never been formally studied. In this work, the relationships among the times of occurrence of nighttime agitation, sleep continuity and duration, and urinary incontinence are identified for persons with AD by using innovative, non-invasive technology. Deployments in 12 homes demonstrate both the utility of the technical monitoring system and the discovered correlations between agitation and incontinence for these 12 AD patients. Implications of possible interventions are discussed. Lessons learned for technical, non-technical and health care implications are presented.

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Cited By

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Machado STavares JBarbosa J(2024)Technologies for monitoring patients with Alzheimer’s disease: A systematic mapping study and taxonomyJournal of Ambient Intelligence and Smart Environments10.3233/AIS-22040716:1(3-22)Online publication date: 14-Mar-2024
https://doi.org/10.3233/AIS-220407
Strauven HWang CHallez HVanden Abeele VVanrumste B(2024)Unobtrusive Nighttime Movement Monitoring to Support Nursing Home Continence Care: Machine Learning Study (Preprint)JMIR Nursing10.2196/58094Online publication date: 6-Mar-2024
https://doi.org/10.2196/58094
Pourpanah FEtemad A(2024)Exploring the Landscape of Ubiquitous In-home Health Monitoring: A Comprehensive SurveyACM Transactions on Computing for Healthcare10.1145/36708545:4(1-43)Online publication date: 23-Oct-2024
https://dl.acm.org/doi/10.1145/3670854
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Home wireless sensing system for monitoring nighttime agitation and incontinence in patients with Alzheimer's disease

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Published In

WH '15: Proceedings of the conference on Wireless Health

October 2015

157 pages

ISBN:9781450338516

DOI:10.1145/2811780

General Chairs:
Wendy Nilsen
National Institutes of Health
,
Jack Stankovic
University of Virginia

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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SIGMOBILE: ACM Special Interest Group on Mobility of Systems, Users, Data and Computing

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Association for Computing Machinery

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Publication History

Published: 14 October 2015

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Funding Sources

National Science Foundation
ASSIST Nanosystems ERC
NIH, National Institute of Nursing Research

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WH '15

WH '15: Wireless Health 2015 Conference

October 14 - 16, 2015

Maryland, Bethesda

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WH '15 Paper Acceptance Rate 28 of 106 submissions, 26%;

Overall Acceptance Rate 35 of 139 submissions, 25%

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Machado STavares JBarbosa J(2024)Technologies for monitoring patients with Alzheimer’s disease: A systematic mapping study and taxonomyJournal of Ambient Intelligence and Smart Environments10.3233/AIS-22040716:1(3-22)Online publication date: 14-Mar-2024
https://doi.org/10.3233/AIS-220407
Strauven HWang CHallez HVanden Abeele VVanrumste B(2024)Unobtrusive Nighttime Movement Monitoring to Support Nursing Home Continence Care: Machine Learning Study (Preprint)JMIR Nursing10.2196/58094Online publication date: 6-Mar-2024
https://doi.org/10.2196/58094
Pourpanah FEtemad A(2024)Exploring the Landscape of Ubiquitous In-home Health Monitoring: A Comprehensive SurveyACM Transactions on Computing for Healthcare10.1145/36708545:4(1-43)Online publication date: 23-Oct-2024
https://dl.acm.org/doi/10.1145/3670854
Onuma HTokiwa NShibata JSuzuki TKashiwagi TMoe TKamura KShinmi TTano SMinami Y(2024)Prediction of BPSD Using Environmental and Vital Sensor Data2024 IEEE First International Conference on Artificial Intelligence for Medicine, Health and Care (AIMHC)10.1109/AIMHC59811.2024.00017(52-59)Online publication date: 5-Feb-2024
https://doi.org/10.1109/AIMHC59811.2024.00017
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Huisman CHuisman EKort H(2022)Technological Applications Contributing to Relieve Care Burden or to Sleep of Caregivers and People With Dementia: A Scoping Review From the Perspective of Social IsolationFrontiers in Public Health10.3389/fpubh.2022.79717610Online publication date: 29-Mar-2022
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Harper MGhali FHussain AAl-Jumeily D(2021)Review of Methods for Data Collection Experiments with People with Dementia and the Impact of COVID-19Intelligent Computing Theories and Application10.1007/978-3-030-84532-2_13(132-147)Online publication date: 9-Aug-2021
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