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    • 24. 发明申请
    • ALCOHOL-DRINKING DETECTING SYSTEM AND COMPUTER PROGRAM
    • 酒精饮料检测系统和计算机程序
    • US20120130261A1
    • 2012-05-24
    • US13321367
    • 2010-05-18
    • Etsunori FujitaYumi OguraShinichiro MaedaShigeyuki Kojima
    • Etsunori FujitaYumi OguraShinichiro MaedaShigeyuki Kojima
    • A61B5/024
    • A61B5/6892A61B5/02444A61B5/1102A61B5/4845A61B5/6887A61B2503/22A61B2562/168B60W2540/24
    • Determination about presence/absence of alcohol in the body is made accurately.A frequency dynamic information processing means 610 which obtains a tendency of time-series fluctuation regarding a frequency of a pulse wave of a back portion of a person detected by an air pack and an alcohol-drinking determining means 650 which determines an alcohol-drinking state when a tendency of a time-series fluctuation regarding the frequency obtained by the frequency dynamic information processing means 610 is separated from a tendency of time-series fluctuation regarding the frequency at a non-drinking state are provided. Since determination about whether or not a person is in an alcohol-drinking state is made according to comparison with time-series fluctuation regarding the frequency at a non-drinking time, where the determination is made using not only frequency analysis of the frequency of a pulse wave changing according to the physical condition of the person but also the time-series fluctuation thereof, determination about presence/absence of alcohol drinking can be made more accurately as compared with the conventional method.
    • 准确地测定身体中酒精的存在/不存在。 频率动态信息处理装置610,其获得关于由气囊检测到的人的后部的脉搏波的频率的时间序列变化的趋势,以及判定饮酒状态的饮酒判定装置650 当提供由频率动态信息处理装置610获得的频率的时间序列波动的趋势与关于非饮酒状态的频率的时间序列波动的趋势分离时。 由于根据与非饮酒时间的频率的时间序列波动的比较,判定是否处于饮酒状态,因此,不仅使用频率分析 根据人的身体状况的脉搏波变化以及其时间序列波动,与常规方法相比,可以更准确地确定饮酒的存在/不存在。
    • 28. 发明授权
    • Alcohol-drinking detecting system and computer program
    • 饮酒检测系统和计算机程序
    • US09149231B2
    • 2015-10-06
    • US13321367
    • 2010-05-18
    • Etsunori FujitaYumi OguraShinichiro MaedaShigeyuki Kojima
    • Etsunori FujitaYumi OguraShinichiro MaedaShigeyuki Kojima
    • A61B5/024A61B5/00A61B5/11
    • A61B5/6892A61B5/02444A61B5/1102A61B5/4845A61B5/6887A61B2503/22A61B2562/168B60W2540/24
    • Determination about presence/absence of alcohol in the body is made accurately.A frequency dynamic information processing means 610 which obtains a tendency of time-series fluctuation regarding a frequency of a pulse wave of a back portion of a person detected by an air pack and an alcohol-drinking determining means 650 which determines an alcohol-drinking state when a tendency of a time-series fluctuation regarding the frequency obtained by the frequency dynamic information processing means 610 is separated from a tendency of time-series fluctuation regarding the frequency at a non-drinking state are provided. Since determination about whether or not a person is in an alcohol-drinking state is made according to comparison with time-series fluctuation regarding the frequency at a non-drinking time, where the determination is made using not only frequency analysis of the frequency of a pulse wave changing according to the physical condition of the person but also the time-series fluctuation thereof, determination about presence/absence of alcohol drinking can be made more accurately as compared with the conventional method.
    • 准确地测定身体中酒精的存在/不存在。 频率动态信息处理装置610,其获得关于由气囊检测到的人的后部的脉搏波的频率的时间序列变化的趋势,以及判定饮酒状态的饮酒判定装置650 当提供由频率动态信息处理装置610获得的频率的时间序列波动的趋势与关于非饮酒状态的频率的时间序列波动的趋势分离时。 由于根据与非饮酒时间的频率的时间序列波动的比较,判定是否处于饮酒状态,因此,不仅使用频率分析 根据人的身体状况的脉搏波变化以及其时间序列波动,与常规方法相比,可以更准确地确定饮酒的存在/不存在。
    • 30. 发明申请
    • DEVICE AND COMPUTER PROGRAM FOR ANALYZING BIOLOGICAL BODY STATE
    • 用于分析生物体状态的设备和计算机程序
    • US20120101395A1
    • 2012-04-26
    • US13266188
    • 2010-04-24
    • Etsunori FujitaYumi OguraShinichiro MaedaShigeyuki Kojima
    • Etsunori FujitaYumi OguraShinichiro MaedaShigeyuki Kojima
    • A61B5/11A61B5/02
    • A61B5/18A61B5/024A61B5/0476A61B5/11A61B5/165A61B5/4035A61B5/4809A61B5/6891A61B5/6892A61B5/6893A61B5/7239A61B2562/0247B60N2/002B60N2002/981G08B21/06
    • A state change of a person is captured with timing closer to consciousness of the person. A frequency slope waveform of a time series signal of a pulse wave of a body of a person detected by an air pack is obtained by a frequency slope time-series analyzing and a computing device and a frequency fluctuation time-series waveform is obtained by a frequency fluctuation time-series analyzing and computing device. By comparing changes of two waveforms with each other in a waveform determining device, a state change of a person can be captured with timing closer to consciousness of the person. A sleep-onset point can be specified clearly based upon the case where a fluctuation waveform steep gradient portion indicating a steep gradient change emerges in the frequency fluctuation waveform, and amplitude and a base line position of the frequency fluctuation waveform or the frequency slope waveform are in predetermined ranges. Further, when a mean slope line of the fluctuation waveform steep gradient portion is approximately parallel to a mean slope line of the slope waveform steep gradient portion in the frequency slope waveform before emergence of the fluctuation waveform steep gradient portion, a sleepiness waveform is determined, so that a sleepiness state leading to sleep onset can be detected.
    • 一个人的状态变化是以更接近人的意识的时间被捕获的。 通过频率斜率时间序列分析和计算装置获得由气囊检测到的人体的脉搏波的时间序列信号的频率斜率波形,并且通过以下方式获得频率波动时间序列波形 频率波动时间序列分析与计算装置。 通过在波形确定装置中比较两个波形的变化,可以在靠近人的意识的时刻捕获人的状态改变。 基于频率波动波形中出现表示陡峭变化的波动陡峭的坡度部分,频率波动波形或频率斜率波形的振幅和基线位置的情况,可以清楚地指定睡眠起点, 在预定范围内。 此外,当波动波形陡峭梯度部分的平均斜率线近似平行于波动波形陡峭梯度部分出现之前的频率斜率波形中的斜率波形陡峭梯度部分的平均斜率线时,确定睡意波形, 从而可以检测到导致睡眠开始的困倦状态。