Knowledge discovery from activity monitoring to support independent living of people with early dementia

Nikamalfard, Hoda; Zheng, Huiru; Wang, Haiying; Jeffers, Paul; Mulvenna, Maurice; McCullagh, Paul; Martin, Suzanne; Wallace, Jonathan; Augusto, Juan Carlos; Carswell, William; Taylor, Brian K.; McSorley, Kevin

doi:10.1109/bhi.2012.6211735

Cited by 8 publications

(6 citation statements)

References 5 publications

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“…The sensor and actuation events are store on a local database for further analysis. NOCTURNAL the following communication networks and protocols are used: Home networks, providing either wired and wireless connectivity with specialist protocols such as X10 used to supplement standard 802.x and z-wave networks; Wider connectivity to remote stakeholders (cares, monitors and healthcare professionals) via secure broadband services; and/or cellular services (GPRS, 3G) facilitating a sort of “virtual presence” for family members and occasional carers [ 40 , 41 ]. …”

Section: Resultsmentioning

confidence: 99%

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Participatory Research to Design a Novel Telehealth System to Support the Night-Time Needs of People with Dementia: NOCTURNAL

Martin

Augusto

McCullagh

et al. 2013

IJERPH

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Strategies to support people living with dementia are broad in scope, proposing both pharmacological and non-pharmacological interventions as part of the care pathway. Assistive technologies form part of this offering as both stand-alone devices to support particular tasks and the more complex offering of the “smart home” to underpin ambient assisted living. This paper presents a technology-based system, which expands on the smart home architecture, orientated to support people with daily living. The system, NOCTURNAL, was developed by working directly with people who had dementia, and their carers using qualitative research methods. The research focused primarily on the nighttime needs of people living with dementia in real home settings. Eight people with dementia had the final prototype system installed for a three month evaluation at home. Disturbed sleep patterns, night-time wandering were a focus of this research not only in terms of detection by commercially available technology but also exploring if automated music, light and visual personalized photographs would be soothing to participants during the hours of darkness. The NOCTURNAL platform and associated services was informed by strong user engagement of people with dementia and the service providers who care for them. NOCTURNAL emerged as a holistic service offering a personalised therapeutic aspect with interactive capabilities.

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Section: Resultsmentioning

confidence: 99%

“…Wider connectivity to remote stakeholders (cares, monitors and healthcare professionals) via secure broadband services; and/or cellular services (GPRS, 3G) facilitating a sort of “virtual presence” for family members and occasional carers [ 40 , 41 ].…”

Section: Resultsmentioning

confidence: 99%

Participatory Research to Design a Novel Telehealth System to Support the Night-Time Needs of People with Dementia: NOCTURNAL

Martin

Augusto

McCullagh

et al. 2013

IJERPH

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“…Computer activity monitoring [61] has been used to discover information about people with early dementia as computer based games require the user to apply many different aspects of brain function, such as learning the game, measuring of speed and accuracy, and finally motor skills to move the mouse around or for entry of information along with [53 , 54 , 55]. Games based on numerical or word based foundations use different brain regions along with areas for search or logical deduction.…”

Section: Computer Gamesmentioning

confidence: 99%

An Integrated Approach for Episodic Cognition Assessment

Wallace¹

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Dementia and Mild Cognitive Impairment (MCI) are significant health issues that are a rising cost to society. They are monitored with cognitive tests during clinical appointments that are limited by the healthcare system capacity and patient's ability/willingness to attend. Current cognitive tests use behavioural measures and not direct measures of underlying cellular change. This causes delay in This work could never have been possible without the inspiration, support and acceptance of the long hours of work from my family including

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“…This score was calculated based on the duration of the activity and the sensor activations. In [ 32 ], the authors focused on kettle and fridge usage and sleep patterns. The cognitive status of a person was assessed based on the kettle and fridge usage times, durations and frequencies; and the duration of sleep.…”

Section: Related Workmentioning

confidence: 99%

Detection of Dementia-Related Abnormal Behaviour Using Recursive Auto-Encoders

Arifoǧlu

Wang

Bouchachia

2021

Sensors

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Age-related health issues have been increasing with the rise of life expectancy all over the world. One of these problems is cognitive impairment, which causes elderly people to have problems performing their daily activities. Detection of cognitive impairment at an early stage would enable medical doctors to deepen diagnosis and follow-up on patient status. Recent studies show that daily activities can be used to assess the cognitive status of elderly people. Additionally, the intrinsic structure of activities and the relationships between their sub-activities are important clues for capturing the cognitive abilities of seniors. Existing methods perceive each activity as a stand-alone unit while ignoring their inner structural relationships. This study investigates such relationships by modelling activities hierarchically from their sub-activities, with the overall goal of detecting abnormal activities linked to cognitive impairment. For this purpose, recursive auto-encoders (RAE) and their linear vs. greedy and supervised vs. semi-supervised variants are adopted to model the activities. Then, abnormal activities are systematically detected using RAE’s reconstruction error. Moreover, to apply RAEs for this problem, we introduce a new sensor representation called raw sensor measurement (RSM) that captures the intrinsic structure of activities, such as the frequency and the order of sensor activations. As real-world data are not accessible, we generated data by simulating abnormal behaviour, which reflects on cognitive impairment. Extensive experiments show that RAEs can be used as a decision-supporting tool, especially when the training set is not labelled to detect early indicators of dementia.

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Knowledge discovery from activity monitoring to support independent living of people with early dementia

Cited by 8 publications

References 5 publications

Participatory Research to Design a Novel Telehealth System to Support the Night-Time Needs of People with Dementia: NOCTURNAL

Participatory Research to Design a Novel Telehealth System to Support the Night-Time Needs of People with Dementia: NOCTURNAL

An Integrated Approach for Episodic Cognition Assessment

Detection of Dementia-Related Abnormal Behaviour Using Recursive Auto-Encoders

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