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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Sheng-Fu Liang Chung-Ping Young Da-Wei Chang Fu-Zen Shaw You-De Liu Yi-Che Liu Jing-Jhong Chen |
| Copyright Year | 2011 |
| Description | Author affiliation: Institute of Cognitive Science, National Cheng Kung University, Tainan, Taiwan (Fu-Zen Shaw) || Department of Computer Science and Information Engineering, National Cheng Kung University, Tainan, Taiwan (Sheng-Fu Liang; Chung-Ping Young; Da-Wei Chang; You-De Liu; Yi-Che Liu; Jing-Jhong Chen) |
| Abstract | Serious sleep disorder may interfere with people's daily life, so monitoring the physiological signals and analyzing the recorded data are to find a solution to improve sleep quality. According to the survey of National Institute of Neurological Disorders and Stroke (NINDS) of United States, about 60 million Americans a year have insomnia frequently or for extended periods of time. A polysomnography (PSG) is a common approach with comprehensive multi-parametric physiological recording for sleep testing, but a subject sleeping in an unfamiliar environment with many wires attached will not feel comfortable and the recorded data cannot reflect the real sleeping quality. A wrist-watch actigraph recorder was developed for using within a living environment, while 35 healthy and 11 insomnia subjects were monitored and recorded by both PSG and actigraphy all night 8 hours for validation. The results show 91% in overall accuracy, 92% in sensitivity, 80% in specificity, 97% in predictive value for sleep and 54 % in predictive value for wake. |
| Starting Page | 1 |
| Ending Page | 6 |
| File Size | 333103 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781424479337 |
| ISSN | 10915281 |
| e-ISBN | 9781424479351 |
| DOI | 10.1109/IMTC.2011.5944248 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-05-10 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Sleep Monitoring Accelerometers Biomedical monitoring Classification algorithms Accuracy Prediction algorithms insomnia accelerometer actigraphy sleep-wake scoring |
| Content Type | Text |
| Resource Type | Article |
| Subject | Instrumentation Electrical and Electronic Engineering |
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