Abstract
Sleep quality is one of the key elements of the human health status. By
observing sleep patterns we can gain information about personal wellbeing.
Consumer electronic sleep analysis solutions are now available for use in
long-term conditions. In this study we compare different measures for total
sleep time and sleep quality. We analyzed visually longterm sleep data
collected with actigraphy, sleep logs and ambient sensors to gain more
reliable results and compared these results to each single method’s output.
Original language | English |
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Title of host publication | Proceedings of the 29th Annual International Conference of the IEEE-EMBS, Engineering in Medicine and Biology Society |
Publisher | IEEE Institute of Electrical and Electronic Engineers |
Pages | 5202-5205 |
DOIs | |
Publication status | Published - 2007 |
MoE publication type | A4 Article in a conference publication |
Event | 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society - Lyon, France Duration: 22 Aug 2007 → 26 Aug 2007 |
Conference
Conference | 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society |
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Country/Territory | France |
City | Lyon |
Period | 22/08/07 → 26/08/07 |
Keywords
- sleep analysis
- home monitoring