| Presentation | 2006-06-15 Predicting sleep stages based on time-dependent hidden Markov model Masako YOSHIMURA, Noboru MURATA, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Recently, many people suffer from an unpleasant awakening and a lack of sleep. Everyone might also have the experience that there is a day with a pleasant awakening or that with an unpleasant, though sleeping time at the same level. A pleasant awakening of day can be fulfilled when waking on the sleep stage is low, which is called REM (Rapid Eye Movement) sleep. Sleep stages, which show the depth of sleep, have the feature continuity and periodic, and a biometric data at sleep such as heart rate and body movement are the candidate for indexing sleep stages. So in this paper, estimating the depth of sleep, using time-dependent hidden Markov model, which is a state transition probability depending on time, is proposed. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | sleep stage / REM / NREM / hidden Markov model / Baum-Welch method / state transition probability |
| Paper # | NC2006-10 |
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| Conference Information | |
| Committee | NC |
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| Conference Date | 2006/6/8(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
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| Paper Information | |
| Registration To | Neurocomputing (NC) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Predicting sleep stages based on time-dependent hidden Markov model |
| Sub Title (in English) | |
| Keyword(1) | sleep stage |
| Keyword(2) | REM |
| Keyword(3) | NREM |
| Keyword(4) | hidden Markov model |
| Keyword(5) | Baum-Welch method |
| Keyword(6) | state transition probability |
| 1st Author's Name | Masako YOSHIMURA |
| 1st Author's Affiliation | Waseda University() |
| 2nd Author's Name | Noboru MURATA |
| 2nd Author's Affiliation | Waseda University |
| Date | 2006-06-15 |
| Paper # | NC2006-10 |
| Volume (vol) | vol.106 |
| Number (no) | 101 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |