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    • 1. 发明申请
    • Sleep state estimation device and program product for providing a computer with a sleep state estimation function
    • 睡眠状态估计装置和程序产品,用于为计算机提供睡眠状态估计功能
    • US20050080349A1
    • 2005-04-14
    • US10961679
    • 2004-10-12
    • Shima OkadaYoshihisa FujiwaraYasushi YamamotoFumiiki Yoneda
    • Shima OkadaYoshihisa FujiwaraYasushi YamamotoFumiiki Yoneda
    • A61B5/16A61B5/11A61B5/113A61B5/08
    • A61B5/6831A61B5/113A61B5/1135A61B5/4809A61B5/4812A61B2562/0261
    • An object of the present invention is to provide a sleep state estimation device capable of estimating a sleep state (deep sleep, light sleep) in real time with relative simplicity. Voltage variations resulting from human respiratory movement are measured for each given period to calculate from the measurement results positive voltage peak values and time intervals between adjacent peaks. The obtained peak values and peak intervals are used to calculate a mean peak interval value A, a coefficient of variation B based on dispersion of the peak intervals, and a coefficient of variation C based on the peak values. The sleep state in this period is estimated from the calculation results. More specifically, referring to FIG. 5, the sleep state is estimated as a “wakeful state” or a “hypnagogic state” by checking whether the mean value A is larger or smaller than a threshold a and whether the coefficient of variation C is larger or smaller than a threshold c (S105) whereas the sleep state is estimated as the “hypnagogic state”, “light sleep” or “deep sleep” by checking whether the coefficient of variation B is larger or smaller than a threshold b and whether the coefficient of variation C is larger or smaller than the threshold c (S109, S113, S116, S117).
    • 本发明的目的在于提供能够相对简单地实时估计睡眠状态(深度睡眠,睡眠睡眠)的睡眠状态估计装置。 对于每个给定的周期,测量由人呼吸运动引起的电压变化,以从测量结果计算相邻峰值之间的正电压峰值和时间间隔。 所获得的峰值和峰值间隔用于基于峰值计算平均峰值间隔值A,基于峰值间隔的色散的变化系数B和基于峰值的变化系数C. 根据计算结果估算此期间的睡眠状态。 更具体地,参考图1。 如图5所示,通过检查平均值A是大于还是小于阈值a来估计睡眠状态为“觉醒状态”或“睡眠状态”,以及变化系数C是否大于或小于阈值c( S105),并且通过检查变异系数B是大于还是小于阈值b,以及变异系数C是较大的还是睡眠状态,将睡眠状态估计为“睡眠状态”,“轻睡眠”或“深睡眠” 小于阈值c(S109,S113,S116,S117)。
    • 4. 发明授权
    • Sleep state estimation device and program product for providing a computer with a sleep state estimation function
    • 睡眠状态估计装置和程序产品,用于为计算机提供睡眠状态估计功能
    • US07150718B2
    • 2006-12-19
    • US10961679
    • 2004-10-12
    • Shima OkadaTakeshi MinamiuraHidetaka SakaiYasushi YamamotoYoshihisa Fujiwara
    • Shima OkadaTakeshi MinamiuraHidetaka SakaiYasushi YamamotoYoshihisa Fujiwara
    • A61B5/08
    • A61B5/6831A61B5/113A61B5/1135A61B5/4809A61B5/4812A61B2562/0261
    • An object of the present invention is to provide a sleep state estimation device capable of estimating a sleep state (deep sleep, light sleep) in real time with relative simplicity. Voltage variations resulting from human respiratory movement are measured for each given period to calculate from the measurement results positive voltage peak values and time intervals between adjacent peaks. The obtained peak values and peak intervals are used to calculate a mean peak interval value A, a coefficient of variation B based on dispersion of the peak intervals, and a coefficient of variation C based on the peak values. The sleep state in this period is estimated from the calculation results. More specifically, referring to FIG. 5, the sleep state is estimated as a “wakeful state” or a “hypnagogic state” by checking whether the mean value A is larger or smaller than a threshold a and whether the coefficient of variation C is larger or smaller than a threshold c (S105) whereas the sleep state is estimated as the “hypnagogic state”, “light sleep” or “deep sleep” by checking whether the coefficient of variation B is larger or smaller than a threshold b and whether the coefficient of variation C is larger or smaller than the threshold c (S109, S113, S116, S117).
    • 本发明的目的在于提供能够相对简单地实时估计睡眠状态(深度睡眠,睡眠睡眠)的睡眠状态估计装置。 对于每个给定的周期,测量由人呼吸运动引起的电压变化,以从测量结果计算相邻峰值之间的正电压峰值和时间间隔。 所获得的峰值和峰值间隔用于基于峰值计算平均峰值间隔值A,基于峰值间隔的色散的变化系数B和基于峰值的变化系数C. 根据计算结果估算此期间的睡眠状态。 更具体地,参考图1。 如图5所示,通过检查平均值A是大于还是小于阈值a来估计睡眠状态为“觉醒状态”或“睡眠状态”,以及变化系数C是否大于或小于阈值c( S105),并且通过检查变化系数B是大于还是小于阈值b,以及变异系数C是否较大,睡眠状态被估计为“睡眠状态”,“轻睡眠”或“深睡眠” 或小于阈值c(S 109,S 113,S 116,S 117)。