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Motion Biomarkers for Early Detection of Dementia-Related Agitation

Authors:

Azziza Bankole,

Martha Anderson,

Tonya Smith-Jackson,

John LachAuthors Info & Claims

DigitalBiomarkers '17: Proceedings of the 1st Workshop on Digital Biomarkers

Pages 15 - 20

https://doi.org/10.1145/3089341.3089344

Published: 23 June 2017 Publication History

Abstract

Agitation in dementia poses a major health risk for both the patients and their caregivers and induces a huge caregiving burden. Early detection of agitation can facilitate timely intervention and prevent escalation of critical episodes. Sensing behavioral patterns for detecting health critical events is a challenging task. Wearable sensors are often employed for sensing physiological signals, but extracting possible biomarkers for confident detection of early agitation is still an open research. In this paper, we employ an ongoing iterative study to explore the motion biomarkers related to agitation in community-dwelling persons with dementia (PWD). This study uses accelerometers in smart watches to capture PWD behavioral patterns unobtrusively. Analysis of the feature space is performed using data from multiple subjects to discriminate among epochs of onset, preset, and offset of agitation while considering inter-person variability in real deployments. This paper shows the prospect of feature space analysis of the motion data for developing early agitation detection models to deploy in the wild.

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https://doi.org/10.1109/OJSP.2024.3376300
Addae SKim JSmith ARajana PKang M(2024)Smart Solutions for Detecting, Predicting, Monitoring, and Managing Dementia in the Elderly: A SurveyIEEE Access10.1109/ACCESS.2024.342196612(100026-100056)Online publication date: 2024
https://doi.org/10.1109/ACCESS.2024.3421966
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cover image ACM Conferences

DigitalBiomarkers '17: Proceedings of the 1st Workshop on Digital Biomarkers

June 2017

44 pages

ISBN:9781450349635

DOI:10.1145/3089341

General Chairs:
Deborah Estrin
Cornell NYC Tech, USA
,
JP Pollak
Cornell NYC Tech, USA
,
Tauhidur Rahman
Cornell University, USA

Copyright © 2017 ACM.

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

New York, NY, United States

Publication History

Published: 23 June 2017

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Short-paper

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National Science Foundation

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MobiSys'17

Sponsor:

SIGMOBILE

MobiSys'17: The 15th Annual International Conference on Mobile Systems, Applications, and Services

June 23, 2017

New York, Niagara Falls, USA

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DigitalBiomarkers '17 Paper Acceptance Rate 6 of 9 submissions, 67%;

Overall Acceptance Rate 14 of 19 submissions, 74%

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Cited By

Zlatintsi AFilntisis PEfthymiou NGaroufis CRetsinas GSounapoglou TMaglogiannis ITsanakas PSmyrnis NMaragos P(2024)Person Identification and Relapse Detection From Continuous Recordings of Biosignals Challenge: Overview and ResultsIEEE Open Journal of Signal Processing10.1109/OJSP.2024.33763005(641-651)Online publication date: 2024
https://doi.org/10.1109/OJSP.2024.3376300
Addae SKim JSmith ARajana PKang M(2024)Smart Solutions for Detecting, Predicting, Monitoring, and Managing Dementia in the Elderly: A SurveyIEEE Access10.1109/ACCESS.2024.342196612(100026-100056)Online publication date: 2024
https://doi.org/10.1109/ACCESS.2024.3421966
Lee UJung GMa EKim JKim HAlikhanov JNoh YKim H(2023)Toward Data-Driven Digital Therapeutics Analytics: Literature Review and Research DirectionsIEEE/CAA Journal of Automatica Sinica10.1109/JAS.2023.12301510:1(42-66)Online publication date: Jan-2023
https://doi.org/10.1109/JAS.2023.123015
Sandhu MPrabhu DLu WKholghi MPacker KHiggins LVarnfield MSilvera-Tawil D(2023)The Significance and Limitations of Sensor-based Agitation Detection in People Living with Dementia2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)10.1109/EMBC40787.2023.10340349(1-5)Online publication date: 24-Jul-2023
https://doi.org/10.1109/EMBC40787.2023.10340349
de Oliveira Cruz DChechetti CBrucki STakada LNunes F(2023)A comprehensive systematic review on mobile applications to support dementia patientsPervasive and Mobile Computing10.1016/j.pmcj.2023.10175790:COnline publication date: 1-Mar-2023
https://dl.acm.org/doi/10.1016/j.pmcj.2023.101757
Zlatintsi AFilntisis PGaroufis CEfthymiou NMaragos PMenychtas AMaglogiannis ITsanakas PSounapoglou TKalisperakis EKarantinos TLazaridi MGaryfalli VMantas AMantonakis LSmyrnis N(2022)E-Prevention: Advanced Support System for Monitoring and Relapse Prevention in Patients with Psychotic Disorders Analyzing Long-Term Multimodal Data from Wearables and Video CapturesSensors10.3390/s2219754422:19(7544)Online publication date: 5-Oct-2022
https://doi.org/10.3390/s22197544
Orfanidis CDarwich ACheong RFafoutis X(2022)Monitoring neurological disorders with AI-enabled wearable systemsProceedings of the 2022 Workshop on Emerging Devices for Digital Biomarkers10.1145/3539494.3542755(24-28)Online publication date: 1-Jul-2022
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Zhang KYuan HFang Y(2022)Evaluation of Smart Agitation Prediction and Management for Dementia Care and Novel Universal Village Oriented Solution for Integration, Resilience, Inclusiveness and Sustainability2022 6th International Conference on Universal Village (UV)10.1109/UV56588.2022.10185497(1-34)Online publication date: 22-Oct-2022
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Alam RPeden DLach J(2021)Wearable Respiration Monitoring: Interpretable Inference With Context and Sensor BiomarkersIEEE Journal of Biomedical and Health Informatics10.1109/JBHI.2020.303577625:6(1938-1948)Online publication date: Jun-2021
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Harper MGhali F(2021)Roles of caregivers in physiological data collection experiments with people with dementia and mitigating the impacts of COVID-192021 14th International Conference on Developments in eSystems Engineering (DeSE)10.1109/DeSE54285.2021.9719419(149-155)Online publication date: 7-Dec-2021
https://doi.org/10.1109/DeSE54285.2021.9719419
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