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    • 56. 发明授权
    • Air movement energy harvesting with wireless sensors
    • 无线传感器的空中移动能量收集
    • US08319401B2
    • 2012-11-27
    • US12771803
    • 2010-04-30
    • Edward M. McKenna
    • Edward M. McKenna
    • H01L41/09A61B5/00F03D9/00
    • H02N2/185A61B5/0002A61B5/14551A61B2560/0214F03D9/00F03G7/08Y02E10/72
    • A system and method for generating power when one or more motion sensitive structures are moved via airflow. The system may include one or more sensing components which, acting alone or in combination, are capable of generating data related to one or more physiological parameters. The system may also include wireless communication circuitry capable of wirelessly transmitting the data related to the one or more physiological parameters. Furthermore, at least one of the one or more sensing components or the wireless communication circuitry may be at least partially powered, directly or indirectly, by the one or more motion sensitive structures when acted upon by airflow.
    • 一种当通过气流移动一个或多个运动敏感结构时产生动力的系统和方法。 系统可以包括一个或多个感测组件,其单独地或组合地起作用能够产生与一个或多个生理参数有关的数据。 该系统还可以包括能够无线地发送与一个或多个生理参数有关的数据的无线通信电路。 此外,一个或多个感测组件或无线通信电路中的至少一个可以由一个或多个运动敏感结构在由气流作用时被至少部分地直接或间接地供电。
    • 58. 发明申请
    • Signal Processing Warping Technique
    • 信号处理变形技术
    • US20110071378A1
    • 2011-03-24
    • US12880306
    • 2010-09-13
    • Edward M. McKennaDaniel Jon Peters
    • Edward M. McKennaDaniel Jon Peters
    • A61B5/145
    • A61B5/14551A61B5/6816A61B5/6826A61B5/6829A61B5/6838A61B5/7203A61B5/7207A61B5/7221A61B5/726A61B5/7264
    • 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.
    • 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。