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    • 1. 发明公开
    • AWAKING DEGREE DETERMINATION DEVICE, AWAKING DEGREE DETERMINATION PROGRAM, AND AWAKING DEGREE DETERMINATION METHOD
    • 一种用于确定清醒程度。 方法计划确定清醒程度,一种用于确定清醒程度
    • EP2829230A4
    • 2015-01-28
    • EP12872173
    • 2012-03-19
    • FUJITSU LTD
    • MASUDA YUTASANO SATOSHIODAGIRI JUNICHI
    • A61B5/16
    • A61B5/18A61B5/02405A61B5/0245A61B5/04015A61B5/04018A61B5/0402A61B5/681A61B5/6893A61B5/6898A61B5/7257A61B2503/22
    • An arousal-level determining apparatus (100) includes a generating unit (120), a calculating unit (130), an identifying unit (140), and a determining unit (180). The generating unit (120) generates heartbeat-interval variation data, which indicates changes in heartbeat interval, on the basis of heartbeat signals indicating subject's heartbeats. The calculating unit (130) applies a band-pass filter, which allows passage of a certain range of frequencies, to each frequency band in the heartbeat-interval variation data while changing the frequency band, and calculates spectral density with respect to each frequency band applied with the band-pass filter. The identifying unit (140) identifies a feature point corresponding to a spectral density peak in the calculated spectral densities in the frequency bands. The determining unit (180) determines subject's arousal level on the basis of the identified feature point.
    • 觉醒水平确定性采矿装置(100),包括:生成单元(120),计算单元(130),以识别单元(140),以及确定单元(180)。 生成单元(120)基因速率的心跳间隔的变化数据,其指示在心跳间隔指示受试者的心跳的变化,心跳信号的基础上。 计算单元(130)适用于一个带通滤波器,其允许频率的一定范围内的通道,以每个频带-在心跳间隔的变化数据,同时改变频带,并且计算频谱密度相对于每个频率频带 - 与带通滤波器施加。 识别单元(140)标识的特征点对应于在任何的频带所计算的频谱密度频谱密度的峰值。 确定性挖掘单元(180)bestimmt所标识的特征点的基础上,主体的清醒度。
    • 6. 发明授权
    • SYSTEM FOR DETECTING THE ONSET OF SEIZURES
    • SYSTEM ZUM ERFASSEN VON EINSETZENDEN ANFLELEN
    • EP2734104B1
    • 2016-08-10
    • EP12737473.4
    • 2012-06-27
    • IctalCare A/S
    • GOMMESEN, Kim GommeHOPPE, KarstenCONRADSEN, Isa
    • A61B5/04A61B5/0488
    • A61B5/04014A61B5/04004A61B5/04012A61B5/04015A61B5/0488A61B5/1123A61B5/4094
    • A method and system for detecting the onset of seizures comprising a measuring unit having one or more sensors for detecting the electromyographic signal of one or more muscles of the user. The sensors are connected to a pre-processing module comprising a high-pass filter which filters out noise and motion artefacts related to normal muscle activities. The preprocessing module is connected to a feature extraction module comprising a threshold detector which counts the number of crossings with a hysteresis within a predetermined time window. The feature extraction module is connected to a classification module which compares the extracted features to a first and second threshold and generates an event signal if the extracted features are above the first and second threshold.
    • 一种用于检测癫痫发作的方法和系统,包括具有用于检测用户的一个或多个肌肉的肌电信号的一个或多个传感器的测量单元。 传感器连接到包括高通滤波器的预处理模块,该高通滤波器滤除与正常肌肉活动相关的噪声和运动伪影。 预处理模块连接到特征提取模块,该模块包括阈值检测器,阈值检测器在预定时间窗口内对滞后数进行计数。 特征提取模块连接到分类模块,其将提取的特征与第一和第二阈值进行比较,并且如果提取的特征高于第一和第二阈值,则生成事件信号。