2009 Fiscal Year Final Research Report
Identification of sleep-wake rhythm from long-term measurements of biosignals
Project/Area Number |
20860084
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Research Category |
Grant-in-Aid for Young Scientists (Start-up)
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Allocation Type | Single-year Grants |
Research Field |
Measurement engineering
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Research Institution | Kisarazu National College of Technology |
Principal Investigator |
SAWAGUCHI Yoshihito Kisarazu National College of Technology, 電子制御工学科, 助教 (50455119)
|
Project Period (FY) |
2008 – 2009
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Keywords | 計測工学 / 生物 / 生体工学 / モデル化 / 制御工学 / 部分空間同定法 / システム同定 / 脳波解析 / 睡眠解析 |
Research Abstract |
For early detection of sleep disorders, crucial parts of identifying system of sleep-wake rhythm from long-term biosignals were studied. Firstly, a subspace identification method was applied on a two channel electroencephalogram (EEG) for sleep stage classification, assuming that the EEG is generated by a linear stochastic process. Results of 24-hours EEG analysis show the potential of this approach in estimating the sleep stage. Secondly, a midget-type biosignal recorder was developed for long-term biosignal recording during daily lives,. The target biosignals are EEG, electrocardiogram, body acceleration and ambient temperature because these signals enable us to estimate one's sleep depth and physical activities in ordinary days. The size of the device (45mm x 25mm x 65mm, 76g) is more appropriate for ambulatory recording than that of the well-known devices.
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