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公开(公告)号:US20070193099A1
公开(公告)日:2007-08-23
申请号:US11561829
申请日:2006-11-20
Applicant: Jon Peters
Inventor: Jon Peters
IPC: A47G1/06
CPC classification number: A47G1/06 , A47G2001/0661 , A47G2001/0677 , B44C5/02
Abstract: An artwork assembly and method is disclosed for providing a reveal between a dimensional support medium and a frame.
Abstract translation: 公开了一种用于在尺寸支撑介质和框架之间提供展示的艺术品组合和方法。
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公开(公告)号:US20110071378A1
公开(公告)日:2011-03-24
申请号:US12880306
申请日:2010-09-13
Applicant: Edward M. McKenna , Daniel Jon Peters
Inventor: Edward M. McKenna , Daniel Jon Peters
IPC: A61B5/145
CPC classification number: A61B5/14551 , A61B5/6816 , A61B5/6826 , A61B5/6829 , A61B5/6838 , A61B5/7203 , A61B5/7207 , A61B5/7221 , A61B5/726 , A61B5/7264
Abstract: Methods and systems are provided for using time-frequency warping to analyze a physiological signal. One embodiment includes applying a warping operator to the physiological signal based on the energy density of the signal. The warped physiological signal may be analyzed to determine whether non-physiological signal components are present. Further, the same warping operator may be applied to signal quality indicators, and the warped physiological signal may be analyzed based on the warped signal quality indicators. Non-physiological signal components, or types of non-physiological noise sources, may be identified based on a comparison of the physiological signal with the signal quality indicators. Non-physiological signal components may also be identified based on a neural network of known noise functions. In some embodiments, the non-physiological signal components may be removed to increase accuracy in estimating physiological parameters.
Abstract translation: 提供了使用时频扭曲来分析生理信号的方法和系统。 一个实施例包括基于信号的能量密度将翘曲算子应用于生理信号。 可以分析翘曲的生理信号以确定是否存在非生理信号分量。 此外,可以应用相同的翘曲操作者来信号质量指示符,并且可以基于扭曲的信号质量指示符来分析翘曲的生理信号。 可以基于生理信号与信号质量指示符的比较来识别非生理信号分量或非生理噪声源的类型。 也可以基于已知噪声函数的神经网络来识别非生理信号分量。 在一些实施例中,可以去除非生理信号分量以增加估计生理参数的准确性。
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公开(公告)号:US08840562B2
公开(公告)日:2014-09-23
申请号:US12880306
申请日:2010-09-13
Applicant: Edward M. McKenna , Daniel Jon Peters
Inventor: Edward M. McKenna , Daniel Jon Peters
IPC: A61B5/02 , A61B5/00 , A61B5/1455
CPC classification number: A61B5/14551 , A61B5/6816 , A61B5/6826 , A61B5/6829 , A61B5/6838 , A61B5/7203 , A61B5/7207 , A61B5/7221 , A61B5/726 , A61B5/7264
Abstract: Methods and systems are provided for using time-frequency warping to analyze a physiological signal. One embodiment includes applying a warping operator to the physiological signal based on the energy density of the signal. The warped physiological signal may be analyzed to determine whether non-physiological signal components are present. Further, the same warping operator may be applied to signal quality indicators, and the warped physiological signal may be analyzed based on the warped signal quality indicators. Non-physiological signal components, or types of non-physiological noise sources, may be identified based on a comparison of the physiological signal with the signal quality indicators. Non-physiological signal components may also be identified based on a neural network of known noise functions. In some embodiments, the non-physiological signal components may be removed to increase accuracy in estimating physiological parameters.
Abstract translation: 提供了使用时频扭曲来分析生理信号的方法和系统。 一个实施例包括基于信号的能量密度将翘曲算子应用于生理信号。 可以分析翘曲的生理信号以确定是否存在非生理信号分量。 此外,可以应用相同的翘曲操作者来信号质量指示符,并且可以基于扭曲的信号质量指示符来分析翘曲的生理信号。 可以基于生理信号与信号质量指示符的比较来识别非生理信号分量或非生理噪声源的类型。 也可以基于已知噪声函数的神经网络来识别非生理信号分量。 在一些实施例中,可以去除非生理信号分量以增加估计生理参数的准确性。
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