Monitoring and Analysis of Sleep Patterns of People with Dementia

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The quantity and quality of sleep has a direct impact on the quality of life for people with dementia and their carers. Many research questions remain to be explored: (1) How to monitor and assess the quantity and quality of sleep objectively and ubiquitously? (2) How does sleep pattern change over the course of various disease types? (3) What variables should be used to assess sleep patterns? (4) What feedback format can be used in telecare service? And (5) What support can be provided to ameliorate sleep disturbances suffered by people with dementia?The main interest to telecare service is to monitoring shifts in sleep patterns and to flag the unusual patterns, so as to observe the changes of clients’ health condition. In this study we examine three types of sleep information: quantity, quality, and rhythm. The bed sensor and the PIR sensors are triggered by the events in seconds. Events such as turning over in bed could trigger the bed sensor and the bedroom PIR sensor. To remove this type of short time trigger and extract the in-bed and out-of-bed events, various rules were applied. Visual feedback is one of the key issues in telecare systems, as telecare staff and the clients’ carers may be novice ICT users. A total of n=8 individual participants with dementia completed the 3 month final evaluation phase of the project with fully deployed systems. The different sleep patterns observed between the clients are consistent with the clinical observation that most people with dementia suffer sleep disturbance, have more sleep episodes and lower sleep quality. It is feasible to detect unusual sleep patterns and monitor the trend of the changes. This system could also be used to provide information for the prevention of the risks of other mental health issues that might be triggered by the sleep disorder.
LanguageEnglish
Title of host publicationUnknown Host Publication
Number of pages4
Publication statusPublished - 16 Oct 2015
EventInternational Psychogeriatric Association (IPA) International Annual Congress - Berlin
Duration: 16 Oct 2015 → …

Conference

ConferenceInternational Psychogeriatric Association (IPA) International Annual Congress
Period16/10/15 → …

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Polysomnography
Dementia
Sleep
Caregivers
Sensory Feedback
Mental Health
Quality of Life

Keywords

  • Assistive Technology
  • Dementia

Cite this

@inproceedings{9ff706ec8d454a079fa27823e9b1f04d,
title = "Monitoring and Analysis of Sleep Patterns of People with Dementia",
abstract = "The quantity and quality of sleep has a direct impact on the quality of life for people with dementia and their carers. Many research questions remain to be explored: (1) How to monitor and assess the quantity and quality of sleep objectively and ubiquitously? (2) How does sleep pattern change over the course of various disease types? (3) What variables should be used to assess sleep patterns? (4) What feedback format can be used in telecare service? And (5) What support can be provided to ameliorate sleep disturbances suffered by people with dementia?The main interest to telecare service is to monitoring shifts in sleep patterns and to flag the unusual patterns, so as to observe the changes of clients’ health condition. In this study we examine three types of sleep information: quantity, quality, and rhythm. The bed sensor and the PIR sensors are triggered by the events in seconds. Events such as turning over in bed could trigger the bed sensor and the bedroom PIR sensor. To remove this type of short time trigger and extract the in-bed and out-of-bed events, various rules were applied. Visual feedback is one of the key issues in telecare systems, as telecare staff and the clients’ carers may be novice ICT users. A total of n=8 individual participants with dementia completed the 3 month final evaluation phase of the project with fully deployed systems. The different sleep patterns observed between the clients are consistent with the clinical observation that most people with dementia suffer sleep disturbance, have more sleep episodes and lower sleep quality. It is feasible to detect unusual sleep patterns and monitor the trend of the changes. This system could also be used to provide information for the prevention of the risks of other mental health issues that might be triggered by the sleep disorder.",
keywords = "Assistive Technology, Dementia",
author = "HY Wang and Huiru Zheng and Maurice Mulvenna",
year = "2015",
month = "10",
day = "16",
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booktitle = "Unknown Host Publication",

}

Wang, HY, Zheng, H & Mulvenna, M 2015, Monitoring and Analysis of Sleep Patterns of People with Dementia. in Unknown Host Publication. International Psychogeriatric Association (IPA) International Annual Congress, 16/10/15.

Monitoring and Analysis of Sleep Patterns of People with Dementia. / Wang, HY; Zheng, Huiru; Mulvenna, Maurice.

Unknown Host Publication. 2015.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

TY - GEN

T1 - Monitoring and Analysis of Sleep Patterns of People with Dementia

AU - Wang, HY

AU - Zheng, Huiru

AU - Mulvenna, Maurice

PY - 2015/10/16

Y1 - 2015/10/16

N2 - The quantity and quality of sleep has a direct impact on the quality of life for people with dementia and their carers. Many research questions remain to be explored: (1) How to monitor and assess the quantity and quality of sleep objectively and ubiquitously? (2) How does sleep pattern change over the course of various disease types? (3) What variables should be used to assess sleep patterns? (4) What feedback format can be used in telecare service? And (5) What support can be provided to ameliorate sleep disturbances suffered by people with dementia?The main interest to telecare service is to monitoring shifts in sleep patterns and to flag the unusual patterns, so as to observe the changes of clients’ health condition. In this study we examine three types of sleep information: quantity, quality, and rhythm. The bed sensor and the PIR sensors are triggered by the events in seconds. Events such as turning over in bed could trigger the bed sensor and the bedroom PIR sensor. To remove this type of short time trigger and extract the in-bed and out-of-bed events, various rules were applied. Visual feedback is one of the key issues in telecare systems, as telecare staff and the clients’ carers may be novice ICT users. A total of n=8 individual participants with dementia completed the 3 month final evaluation phase of the project with fully deployed systems. The different sleep patterns observed between the clients are consistent with the clinical observation that most people with dementia suffer sleep disturbance, have more sleep episodes and lower sleep quality. It is feasible to detect unusual sleep patterns and monitor the trend of the changes. This system could also be used to provide information for the prevention of the risks of other mental health issues that might be triggered by the sleep disorder.

AB - The quantity and quality of sleep has a direct impact on the quality of life for people with dementia and their carers. Many research questions remain to be explored: (1) How to monitor and assess the quantity and quality of sleep objectively and ubiquitously? (2) How does sleep pattern change over the course of various disease types? (3) What variables should be used to assess sleep patterns? (4) What feedback format can be used in telecare service? And (5) What support can be provided to ameliorate sleep disturbances suffered by people with dementia?The main interest to telecare service is to monitoring shifts in sleep patterns and to flag the unusual patterns, so as to observe the changes of clients’ health condition. In this study we examine three types of sleep information: quantity, quality, and rhythm. The bed sensor and the PIR sensors are triggered by the events in seconds. Events such as turning over in bed could trigger the bed sensor and the bedroom PIR sensor. To remove this type of short time trigger and extract the in-bed and out-of-bed events, various rules were applied. Visual feedback is one of the key issues in telecare systems, as telecare staff and the clients’ carers may be novice ICT users. A total of n=8 individual participants with dementia completed the 3 month final evaluation phase of the project with fully deployed systems. The different sleep patterns observed between the clients are consistent with the clinical observation that most people with dementia suffer sleep disturbance, have more sleep episodes and lower sleep quality. It is feasible to detect unusual sleep patterns and monitor the trend of the changes. This system could also be used to provide information for the prevention of the risks of other mental health issues that might be triggered by the sleep disorder.

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