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    • 5. 发明公开
    • SLEEP QUALITY ESTIMATION DEVICE, SLEEP QUALITY ESTIMATION METHOD AND PROGRAM FOR SLEEP QUALITY ESTIMATION
    • DEVICE FOR睡眠质量估计方法有关睡眠质量评估睡眠质量评估和方案
    • EP2818111A1
    • 2014-12-31
    • EP12869198.7
    • 2012-02-24
    • Toyota Jidosha Kabushiki Kaisha
    • SHIGETO, KazuhideOKAMURA, HirokiKIKUCHI, Hirokazu
    • A61B5/16A61B5/08A61B5/00
    • A61B5/4815A61B5/0816A61B5/1135A61B5/4812A61B5/7264A61B5/7278A61B2503/22G06F19/00
    • In a sleep quality estimation device, a respiration sensor detects the respiratory waveform of a subject. A sleep stage estimation unit estimates the sleep stage of the subject during sleep based on the respiratory waveform detected by the respiration sensor. In a sleep rhythm model database 16, models associated with the appearance probability of δ-wave for the sleep stage during sleep are recorded. A sleep quality estimation unit estimates the appearance time of δ-wave of the subject during sleep based on the sleep stage of the subject estimated by the sleep stage estimation unit and the models associated. with the appearance probability of δ-wave for the sleep stage recorded in the sleep rhythm model database, and estimates the sleep quality of the subject based on the appearance time of δ-wave. For this reason, it is possible to estimate the sleep quality of the subject with higher precision based on the appearance time of δ-wave more closely related to the sleep quality.
    • 在睡眠质量估计设备,呼吸传感器检测的受试者的呼吸波形。 睡眠阶段估计单元基于由所述呼吸传感器检测出的呼吸波形睡眠期间受试者的睡眠阶段。 在睡眠节奏模型数据库以“波浪用于睡眠阶段的睡眠过程中记录的出现概率相关联的16种型号。 睡眠质量估计单元估计的出现时间“波的基于由睡眠阶段估计单元和相关联的模型估计受试者的睡眠阶段睡眠期间受试者。 与“波睡眠记录在睡眠节律模型数据库舞台的出现概率,估计基于time'波的外观主题的睡眠质量。 出于这个原因,有可能与估计的基础上出现的时间精度较高的受试者的睡眠质量“波浪更密切相关的睡眠质量。
    • 7. 发明公开
    • SLEEP STATE ESTIMATION DEVICE
    • 睡眠状态估计装置
    • EP2638855A1
    • 2013-09-18
    • EP10859585.1
    • 2010-11-08
    • TOYOTA JIDOSHA KABUSHIKI KAISHA
    • SHIGETO, Kazuhide
    • A61B5/18A61B5/11
    • A61B5/4809A61B5/08A61B5/18A61B5/7235
    • Since a change in a heart beat is dominated by the autonomic nerve which originates in the brain stem, it is difficult for an object person to control the heart beat at his or her own will. Therefore, frequency analysis, such as fine fluctuation analysis, is needed in order to estimate the body motion of the object person and is not suitable for instant processing. In contrast, according to this embodiment, an arithmetic unit 30 of a sleep state estimation device 1 estimates the state of the object person on the basis of the identity of each cycle of a breathing waveform of an object person M as the feature amount of the breathing waveform. The object person M can control a change in breathing at his or her own will. Therefore, when the state of the object person M is estimated on the basis of the identity of each cycle of the breathing waveform of the object person M, it is possible to easily classify the body motions of the object person M in detail and easily improve the accuracy of estimating the state of the object person M, such as the depth of sleep or the body motion.
    • 由于心跳的变化主要由起源于脑干的自主神经支配,因此对象人难以根据自己的意愿控制心跳。 因此,为了估计对象者的身体运动,需要频率分析,例如精细波动分析,并且不适合即时处理。 相反,根据本实施例,睡眠状态估计设备1的运算单元30基于对象人物M的呼吸波形的每个周期的身份来估计对象人物的状态作为 呼吸波形。 对象人M可以根据自己的意愿控制呼吸变化。 因此,在根据对象者M的呼吸波形的每个周期的同一性来估计对象者M的状态时,可以容易地对对象者M的身体运动进行详细分类并且容易地改善 估计对象人M的状态的准确度,例如睡眠深度或身体动作。