Managing Wandering Risk in People With Dementia

Wan, Jie; Byrne, Charles J.; O’Grady, Michael J.; O’Hare, Gregory M. P.

doi:10.1109/thms.2015.2453421

Cited by 20 publications

(19 citation statements)

References 15 publications

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“…In this section, commercial products on the market are described, including WanderHelp [4], Kumar et al's work [14], iWander [3], LaCasa [7], and Rodriguez et al's work [15]. Finally, the iCarus system is compared with these surveyed works and then evaluated accordingly.…”

Section: Related Workmentioning

confidence: 99%

“…These systems will alert caregivers when a patient has wandered out of a predesignated area [16]. WanderHelp [4] proposes an AAL solution for AD patients and their caregivers based on an intelligent agent platform. Its aim is to help caregivers reduce the risk of an adverse outcome in the event of a wandering episode in early-stage dementia patients.…”

Section: Related Workmentioning

confidence: 99%

“…Dementia also has a great alert all the time. Caring for a patient is an emotionally stressful task, and the caregivers experience feelings of confinement and immense stress as a result of the continuously degenerating behavior of the patient [4,8].…”

Section: Introductionmentioning

confidence: 99%

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An ambient assisted living system for dementia patients

Yılmaz¹

2019

Turk J Elec Eng & Comp Sci

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Dementia is a major health and social care challenge of today and the near future as a result of increased human lifespan. Currently, there is no therapeutic solution for dementia, but a solution for managing the wandering behavior of dementia patients can be provided by an ambient assisted living system. In this paper, the design and implementation of iCarus, which is an intelligent ambient assisted living system for dealing with wandering behavior in early stages of dementia, is described. The aim of iCarus is to provide independent living for elderly people and a cost-effective way of monitoring them. iCarus is a zone-based system that forms a safety net. When a wandering episode occurs, rule-based context reasoning is employed to determine the actions that are to be executed. These actions include warning the patient, navigating the patient to his home, sending notifications to the caregiver(s), and initiating a real-time tracking session for the caregiver and the emergency service. Also, caregivers are able to construct their own rules and extend the functionality of the system according to their own needs. Constructing new rules is done by an innovative user interface. As a case study, iCarus is described and evaluated with a scenario. In order to evaluate the usability of iCarus, a questionnaire was administered after the users tried the system. The results were then statistically analyzed and reported.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

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An ambient assisted living system for dementia patients

Yılmaz¹

2019

Turk J Elec Eng & Comp Sci

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“…Research-based WPT RFID tags are a common constituent of wandering prevention systems such as COGKNOW [149,150]. Other systems utilise GPS as a method of tracking users, OutCare and WanderHelp [151][152][153] support normal daily routines and deviations from individual daily signatures invoke an alert. KopAL [154] offer the same service but via a mobile network, others within the same genre include Opportunity Knocks [155], CONFIDENCE and InMyOneWay [20].…”

Section: Wandering Prevention Toolsmentioning

confidence: 99%

A Review and Classification of Assisted Living Systems

2018

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Europe's social agenda for the "active elderly" is based upon a series of programs that provide a flexible infrastructure for their lives so that they are motivated, engaged in lifelong learning, and contributing to society. Economically speaking, Europe must engage in active aging research in order to avoid unsustainable health costs, and ambient assisted living (AAL) systems provide a platform for the elderly to remain living independently. This paper reviews research conducted within the area of AAL, and offers a taxonomy within which such systems may be classified. This classification distinguishes itself from others in that it categorises AAL systems in a top-down fashion, with the most important categories placed immediately to the left. In this paper, each section is explored further, and AAL systems are the focus. Entire AAL systems still cannot be fully evaluated, but their constituent technical parts can be assessed. The activities of daily living (ADLs) component was given further priority due to its potential for system evaluation, based on its ability to recognise ADLs with reasonable accuracy.Information 2018, 9, 182 2 of 24 ensure that future system features include the minimum requirements necessary for AAL research and commercial usage, thus ensuring that the elderly and their families have systems capable of meeting their current and future ADL needs. Previous reviews have taken different approaches, yet all failed to provide a framework within which all AAL systems could be classified according to their primary function [5,6]. Some applied specific guidelines to predominantly single-use systems, compared platform performance, or personalised healthcare systems. The evolution of AAL technology [7] has taken us through three generations, from wearable devices that respond to an emergency, to automatic response home sensors, to a third generation combining less-intrusive monitoring with preventive functionalities. Another review approach of surveying ambient environment services [8] under event-, context-, or device-aware services was categorised in terms of a service-oriented, user-centered, and event-aware monitoring service. This review technique compared various ambient services of response time, success rate, low/high-level failures, power consumption, and service reliability/adaption, yet offered no classification. A comprehensive literature review [9] on platforms and systems [10] provided no taxonomy for researchers, and excluded ambient intelligence (AmI) research that is pivotal within robotics and wearable computing. A recent review paper [11] described AAL as the culmination of the following five technologies: sensors, context awareness, machine learning, and artificial intelligence, announcing the importance of device interoperability, yet offering no template for achieving this goal. AALIANCE [12] proffered a roadmap for AAL system standardisation and a possible future evolutionary structure for systems, yet this aspirational template lacks the necessary structure to accommodate curr...

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“…The risk of dangerous behavior increases with many health conditions such as Freezing of Gait (FOG) Parkinson's disease, wandering behavior in dementia, sleep attack in narcolepsy disease and seizure in epilepsy disease, affecting older individuals. Studies estimate that 67% of the dementia patients may exhibit wandering behavior as the disease progresses because of the memory loss and weariness [2]. There is a danger that the patient might leave home or fall and injure him/herself.…”

Section: Introductionmentioning

confidence: 99%