Loading…

Monitoring and analysis of sleep pattern for people with early dementia

An altered sleep pattern is often one of the general symptoms experienced by people with dementia. The quantity and quality of sleep may be a reflection of their dementia condition and affect the quality of life for people with dementia. In this paper we present our research in using sensor based te...

Full description

Saved in:
Bibliographic Details
Main Authors: Haiying Wang, Huiru Zheng, Augusto, J C, Martin, S, Mulvenna, M, Carswell, W, Wallace, J, Jeffers, P, Taylor, B, McSorley, K
Format: Conference Proceeding
Language:English
Subjects:
Citations: Items that cite this one
Online Access:Request full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by cdi_FETCH-LOGICAL-c139t-be33a45d2dd8fccd522289c0e32854969b91ba6a998b3a480e8e279f46972fa13
cites
container_end_page 410
container_issue
container_start_page 405
container_title
container_volume
creator Haiying Wang
Huiru Zheng
Augusto, J C
Martin, S
Mulvenna, M
Carswell, W
Wallace, J
Jeffers, P
Taylor, B
McSorley, K
description An altered sleep pattern is often one of the general symptoms experienced by people with dementia. The quantity and quality of sleep may be a reflection of their dementia condition and affect the quality of life for people with dementia. In this paper we present our research in using sensor based technology for a telecare service to monitor daily activities over a period of three months for one healthy elderly client and one client with early dementia using assistive technology. We analyze their sleep patterns, propose a set of measures to assess the quantity and quality of sleep, and visualize the sleep patterns for a telecare service provider and carers to support users with dementia. Results show that people with early dementia have more alternations of sleep-wake cycles than healthy elderly people, and assistive technology can provide objective and ubiquitous monitoring of sleep patterns for health care purposes.
doi_str_mv 10.1109/BIBMW.2010.5703836
format conference_proceeding
fullrecord <record><control><sourceid>ieee_6IE</sourceid><recordid>TN_cdi_ieee_primary_5703836</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>5703836</ieee_id><sourcerecordid>5703836</sourcerecordid><originalsourceid>FETCH-LOGICAL-c139t-be33a45d2dd8fccd522289c0e32854969b91ba6a998b3a480e8e279f46972fa13</originalsourceid><addsrcrecordid>eNpFj9FKwzAYhSMiqHMvoDd5gc7kT9Iml27oHGx4s-HlSJs_GunakgSkb29hAw8cDh8cDhxCHjlbcM7M83Kz3H0ugE2sKia0KK_IPZcgpRZMwvU_CHlL5in9sEkKKiXgjqx3fRdyH0P3RW3nJtt2TCHR3tPUIg50sDlj7KjvIx2wH1qkvyF_U7SxHanDE3Y52Ady422bcH7JGTm8ve5X78X2Y71ZvWyLhguTixqFsFI5cE77pnEKALRpGArQSprS1IbXtrTG6HoqaoYaoTJelqYCb7mYkafzbkDE4xDDycbxeDku_gDfxEyU</addsrcrecordid><sourcetype>Publisher</sourcetype><iscdi>true</iscdi><recordtype>conference_proceeding</recordtype></control><display><type>conference_proceeding</type><title>Monitoring and analysis of sleep pattern for people with early dementia</title><source>IEEE Electronic Library (IEL) Conference Proceedings</source><creator>Haiying Wang ; Huiru Zheng ; Augusto, J C ; Martin, S ; Mulvenna, M ; Carswell, W ; Wallace, J ; Jeffers, P ; Taylor, B ; McSorley, K</creator><creatorcontrib>Haiying Wang ; Huiru Zheng ; Augusto, J C ; Martin, S ; Mulvenna, M ; Carswell, W ; Wallace, J ; Jeffers, P ; Taylor, B ; McSorley, K</creatorcontrib><description>An altered sleep pattern is often one of the general symptoms experienced by people with dementia. The quantity and quality of sleep may be a reflection of their dementia condition and affect the quality of life for people with dementia. In this paper we present our research in using sensor based technology for a telecare service to monitor daily activities over a period of three months for one healthy elderly client and one client with early dementia using assistive technology. We analyze their sleep patterns, propose a set of measures to assess the quantity and quality of sleep, and visualize the sleep patterns for a telecare service provider and carers to support users with dementia. Results show that people with early dementia have more alternations of sleep-wake cycles than healthy elderly people, and assistive technology can provide objective and ubiquitous monitoring of sleep patterns for health care purposes.</description><identifier>ISBN: 1424483034</identifier><identifier>ISBN: 9781424483037</identifier><identifier>EISBN: 1424483042</identifier><identifier>EISBN: 9781424483044</identifier><identifier>DOI: 10.1109/BIBMW.2010.5703836</identifier><language>eng</language><publisher>IEEE</publisher><subject>bed sensor ; Data visualization ; Dementia ; Monitoring ; nighttime ; Rhythm ; Senior citizens ; Sleep ; sleep pattern ; Visualization</subject><ispartof>2010 IEEE International Conference on Bioinformatics and Biomedicine Workshops (BIBMW), 2010, p.405-410</ispartof><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c139t-be33a45d2dd8fccd522289c0e32854969b91ba6a998b3a480e8e279f46972fa13</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/5703836$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,780,784,789,790,2058,27925,54920</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/5703836$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Haiying Wang</creatorcontrib><creatorcontrib>Huiru Zheng</creatorcontrib><creatorcontrib>Augusto, J C</creatorcontrib><creatorcontrib>Martin, S</creatorcontrib><creatorcontrib>Mulvenna, M</creatorcontrib><creatorcontrib>Carswell, W</creatorcontrib><creatorcontrib>Wallace, J</creatorcontrib><creatorcontrib>Jeffers, P</creatorcontrib><creatorcontrib>Taylor, B</creatorcontrib><creatorcontrib>McSorley, K</creatorcontrib><title>Monitoring and analysis of sleep pattern for people with early dementia</title><title>2010 IEEE International Conference on Bioinformatics and Biomedicine Workshops (BIBMW)</title><addtitle>BIBMW</addtitle><description>An altered sleep pattern is often one of the general symptoms experienced by people with dementia. The quantity and quality of sleep may be a reflection of their dementia condition and affect the quality of life for people with dementia. In this paper we present our research in using sensor based technology for a telecare service to monitor daily activities over a period of three months for one healthy elderly client and one client with early dementia using assistive technology. We analyze their sleep patterns, propose a set of measures to assess the quantity and quality of sleep, and visualize the sleep patterns for a telecare service provider and carers to support users with dementia. Results show that people with early dementia have more alternations of sleep-wake cycles than healthy elderly people, and assistive technology can provide objective and ubiquitous monitoring of sleep patterns for health care purposes.</description><subject>bed sensor</subject><subject>Data visualization</subject><subject>Dementia</subject><subject>Monitoring</subject><subject>nighttime</subject><subject>Rhythm</subject><subject>Senior citizens</subject><subject>Sleep</subject><subject>sleep pattern</subject><subject>Visualization</subject><isbn>1424483034</isbn><isbn>9781424483037</isbn><isbn>1424483042</isbn><isbn>9781424483044</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2010</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><recordid>eNpFj9FKwzAYhSMiqHMvoDd5gc7kT9Iml27oHGx4s-HlSJs_GunakgSkb29hAw8cDh8cDhxCHjlbcM7M83Kz3H0ugE2sKia0KK_IPZcgpRZMwvU_CHlL5in9sEkKKiXgjqx3fRdyH0P3RW3nJtt2TCHR3tPUIg50sDlj7KjvIx2wH1qkvyF_U7SxHanDE3Y52Ady422bcH7JGTm8ve5X78X2Y71ZvWyLhguTixqFsFI5cE77pnEKALRpGArQSprS1IbXtrTG6HoqaoYaoTJelqYCb7mYkafzbkDE4xDDycbxeDku_gDfxEyU</recordid><startdate>201012</startdate><enddate>201012</enddate><creator>Haiying Wang</creator><creator>Huiru Zheng</creator><creator>Augusto, J C</creator><creator>Martin, S</creator><creator>Mulvenna, M</creator><creator>Carswell, W</creator><creator>Wallace, J</creator><creator>Jeffers, P</creator><creator>Taylor, B</creator><creator>McSorley, K</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>201012</creationdate><title>Monitoring and analysis of sleep pattern for people with early dementia</title><author>Haiying Wang ; Huiru Zheng ; Augusto, J C ; Martin, S ; Mulvenna, M ; Carswell, W ; Wallace, J ; Jeffers, P ; Taylor, B ; McSorley, K</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c139t-be33a45d2dd8fccd522289c0e32854969b91ba6a998b3a480e8e279f46972fa13</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2010</creationdate><topic>bed sensor</topic><topic>Data visualization</topic><topic>Dementia</topic><topic>Monitoring</topic><topic>nighttime</topic><topic>Rhythm</topic><topic>Senior citizens</topic><topic>Sleep</topic><topic>sleep pattern</topic><topic>Visualization</topic><toplevel>online_resources</toplevel><creatorcontrib>Haiying Wang</creatorcontrib><creatorcontrib>Huiru Zheng</creatorcontrib><creatorcontrib>Augusto, J C</creatorcontrib><creatorcontrib>Martin, S</creatorcontrib><creatorcontrib>Mulvenna, M</creatorcontrib><creatorcontrib>Carswell, W</creatorcontrib><creatorcontrib>Wallace, J</creatorcontrib><creatorcontrib>Jeffers, P</creatorcontrib><creatorcontrib>Taylor, B</creatorcontrib><creatorcontrib>McSorley, K</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Haiying Wang</au><au>Huiru Zheng</au><au>Augusto, J C</au><au>Martin, S</au><au>Mulvenna, M</au><au>Carswell, W</au><au>Wallace, J</au><au>Jeffers, P</au><au>Taylor, B</au><au>McSorley, K</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Monitoring and analysis of sleep pattern for people with early dementia</atitle><btitle>2010 IEEE International Conference on Bioinformatics and Biomedicine Workshops (BIBMW)</btitle><stitle>BIBMW</stitle><date>2010-12</date><risdate>2010</risdate><spage>405</spage><epage>410</epage><pages>405-410</pages><isbn>1424483034</isbn><isbn>9781424483037</isbn><eisbn>1424483042</eisbn><eisbn>9781424483044</eisbn><abstract>An altered sleep pattern is often one of the general symptoms experienced by people with dementia. The quantity and quality of sleep may be a reflection of their dementia condition and affect the quality of life for people with dementia. In this paper we present our research in using sensor based technology for a telecare service to monitor daily activities over a period of three months for one healthy elderly client and one client with early dementia using assistive technology. We analyze their sleep patterns, propose a set of measures to assess the quantity and quality of sleep, and visualize the sleep patterns for a telecare service provider and carers to support users with dementia. Results show that people with early dementia have more alternations of sleep-wake cycles than healthy elderly people, and assistive technology can provide objective and ubiquitous monitoring of sleep patterns for health care purposes.</abstract><pub>IEEE</pub><doi>10.1109/BIBMW.2010.5703836</doi><tpages>6</tpages></addata></record>
fulltext fulltext_linktorsrc
identifier ISBN: 1424483034
ispartof 2010 IEEE International Conference on Bioinformatics and Biomedicine Workshops (BIBMW), 2010, p.405-410
issn
language eng
recordid cdi_ieee_primary_5703836
source IEEE Electronic Library (IEL) Conference Proceedings
subjects bed sensor
Data visualization
Dementia
Monitoring
nighttime
Rhythm
Senior citizens
Sleep
sleep pattern
Visualization
title Monitoring and analysis of sleep pattern for people with early dementia
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-07T19%3A05%3A16IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-ieee_6IE&rft_val_fmt=info:ofi/fmt:kev:mtx:book&rft.genre=proceeding&rft.atitle=Monitoring%20and%20analysis%20of%20sleep%20pattern%20for%20people%20with%20early%20dementia&rft.btitle=2010%20IEEE%20International%20Conference%20on%20Bioinformatics%20and%20Biomedicine%20Workshops%20(BIBMW)&rft.au=Haiying%20Wang&rft.date=2010-12&rft.spage=405&rft.epage=410&rft.pages=405-410&rft.isbn=1424483034&rft.isbn_list=9781424483037&rft_id=info:doi/10.1109/BIBMW.2010.5703836&rft.eisbn=1424483042&rft.eisbn_list=9781424483044&rft_dat=%3Cieee_6IE%3E5703836%3C/ieee_6IE%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c139t-be33a45d2dd8fccd522289c0e32854969b91ba6a998b3a480e8e279f46972fa13%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_id=info:pmid/&rft_ieee_id=5703836&rfr_iscdi=true