Combined hemodynamic and EGM-based arrhythmia detection
    3.
    发明授权
    Combined hemodynamic and EGM-based arrhythmia detection 有权
    联合血液动力学和基于EGM的心律失常检测

    公开(公告)号:US08121682B2

    公开(公告)日:2012-02-21

    申请号:US12729454

    申请日:2010-03-23

    IPC分类号: A61N1/00

    摘要: A medical device and associated method for detecting arrhythmias that includes sensing cardiac electrical signals and cardiac hemodynamic signals, determining a long-term baseline hemodynamic measurement in response to a plurality of the sensed cardiac hemodynaic signals, detecting a period of increased metabolic demand in response to the sensed cardiac electrical signals, determining a sinus tachycardia baseline hemodynamic measurement in response sensing of cardiac hemododynamic signals during the detected period of increased metabolic demand, and detecting the arrhythmia and delivering therapy in response to one of only the sensed cardiac electrical signals and the sensed cardiac electrical signals in combination with one or both of the determined long-term baseline hemodynamic measurement and the sinus tachycardia baseline hemodynamic measurement.

    摘要翻译: 一种用于检测心律失常的医疗装置和相关方法,其包括感测心脏电信号和心脏血液动力学信号,响应于多个感测的心脏血液信号确定长期基线血液动力学测量,检测响应于 检测到的心脏电信号,在检测到增加的代谢需求期间响应感测心脏血液动力学信号,确定窦性心动过速基线血液动力学测量,以及响应于仅感测到的心脏电信号和感测到的心电信号中的一个检测心律失常并递送治疗 心电信号结合一个或两个确定的长期基线血液动力学测量和窦性心动过速基线血流动力学测量。

    COMBINED HEMODYNAMIC AND EGM-BASED ARRHYTHMIA DETECTION
    5.
    发明申请
    COMBINED HEMODYNAMIC AND EGM-BASED ARRHYTHMIA DETECTION 有权
    联合HEMODYNAMIC和基于EGM的ARRHYTHMIA检测

    公开(公告)号:US20100241182A1

    公开(公告)日:2010-09-23

    申请号:US12729454

    申请日:2010-03-23

    IPC分类号: A61N1/365 A61N1/39

    摘要: A medical device and associated method for detecting arrhythmias that includes sensing cardiac electrical signals and cardiac hemodynamic signals, determining a long-term baseline hemodynamic measurement in response to a plurality of the sensed cardiac hemodynaic signals, detecting a period of increased metabolic demand in response to the sensed cardiac electrical signals, determining a sinus tachycardia baseline hemodynamic measurement in response sensing of cardiac hemododynamic signals during the detected period of increased metabolic demand, and detecting the arrhythmia and delivering therapy in response to one of only the sensed cardiac electrical signals and the sensed cardiac electrical signals in combination with one or both of the determined long-term baseline hemodynamic measurement and the sinus tachycardia baseline hemodynamic measurement

    摘要翻译: 一种用于检测心律失常的医疗装置和相关方法,其包括感测心脏电信号和心脏血液动力学信号,响应于多个感测的心脏血液信号确定长期基线血液动力学测量,检测响应于 检测到的心脏电信号,在检测到增加的代谢需求期间响应感测心脏血液动力学信号,确定窦性心动过速基线血液动力学测量,以及响应于仅感测到的心脏电信号和感测到的心电信号中的一个检测心律失常并递送治疗 心电信号结合一个或两个确定的长期基线血液动力学测量和窦性心动过速基线血流动力学测量

    DETECTION OF WAVEFORM ARTIFACT
    7.
    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。

    Detection of waveform artifact
    8.
    发明授权
    Detection of waveform artifact 有权
    检测波形伪影

    公开(公告)号:US08380295B2

    公开(公告)日:2013-02-19

    申请号:US12609455

    申请日:2009-10-30

    IPC分类号: A61B5/04

    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。