Method and apparatus for determining a respiration parameter in a medical device
    4.
    发明授权
    Method and apparatus for determining a respiration parameter in a medical device 有权
    用于确定医疗装置中的呼吸参数的方法和装置

    公开(公告)号:US08372013B2

    公开(公告)日:2013-02-12

    申请号:US12262285

    申请日:2008-10-31

    IPC分类号: A61B5/0205 A61B5/08

    摘要: A method of determining a respiration parameter in a medical device in which pressure signals are sensed to generate corresponding sample points, and a breath detection threshold is continuously adjusted in response to the generated sample points to generate a current adjusted breath detection threshold. A current generated sample point is compared to the current adjusted breath detection threshold, and the continuous adjusting of the breath detection threshold is suspended and the breath detection threshold is equal to the most current adjusted breath detection threshold generated prior to the suspending in response to the comparing. A next sample point, generated subsequent to the suspending, is compared to the set breath detection threshold, and the respiration parameter is determined in response to the comparing of a next sample point to the set breath detection threshold.

    摘要翻译: 一种确定医疗装置中的呼吸参数的方法,其中感测压力信号以产生相应的采样点,并且响应于所产生的采样点连续地调整呼吸检测阈值以产生当前调节的呼吸检测阈值。 将当前生成的采样点与当前调节的呼吸检测阈值进行比较,并且暂停呼吸检测阈值的连续调整,并且呼吸检测阈值等于响应于该呼吸检测阈值之前产生的最新调整的呼吸检测阈值 比较。 将在悬挂之后产生的下一采样点与设定的呼吸检测阈值进行比较,并且响应于下一采样点与设定的呼吸检测阈值的比较来确定呼吸参数。

    DETECTION OF WAVEFORM ARTIFACT
    10.
    发明申请
    DETECTION OF WAVEFORM ARTIFACT 有权
    检测波浪文艺

    公开(公告)号:US20110105927A1

    公开(公告)日:2011-05-05

    申请号:US12609455

    申请日:2009-10-30

    IPC分类号: A61B5/0402

    CPC分类号: A61N1/3702

    摘要: An implantable medical device system including a physiological sensor detects signal artifact in a signal waveform acquired by the sensor. Features of individual waveforms in the sensor signal are extracted. Sample waveforms are classified by expert observation into at least two classes including an artifact class. A distribution range for each of the extracted features from the sample waveforms is determined for each of the classes. Waveform classification criteria are established in response to the determined distribution ranges.

    摘要翻译: 包括生理传感器的可植入医疗装置系统检测由传感器获取的信号波形中的信号伪影。 提取传感器信号中各波形的特征。 通过专家观察将样本波形分类为至少两个类,包括神器类。 为每个类别确定来自采样波形的每个提取特征的分布范围。 响应于确定的分布范围建立波形分类标准。