| Budget Amount *help |
¥3,380,000 (Direct Cost: ¥2,600,000、Indirect Cost: ¥780,000)
Fiscal Year 2016: ¥1,690,000 (Direct Cost: ¥1,300,000、Indirect Cost: ¥390,000)
Fiscal Year 2015: ¥1,690,000 (Direct Cost: ¥1,300,000、Indirect Cost: ¥390,000)
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| Outline of Final Research Achievements |
This research focuses on the sleep stage estimation method without connecting any devices to human body, and improves its estimation capability even in bad health condition, aging process, and sleep disorder. Since a sleep rhythm or deepness is affected by health condition, aging, and/or sleep disorder, this research proposed the approach of mining the latent structure of heartbeat data (called the sleep property) to specify the common sleep property as a combination of the frequency components of the ultradian rhythm (i.e., a cycle of non-REM and REM sleep) derived from the heartbeat data. To investigate the effectiveness of the proposed approach, we conducted the human subject experiments which revealed that the improved sleep stage estimation method based on the proposed approach is robust to bad health condition, adapts to aging, and copes with sleep disorder.
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