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    • 52. 发明授权
    • Systems and methods for determining oxygen saturation
    • 用于确定氧饱和度的系统和方法
    • US08761855B2
    • 2014-06-24
    • US12249068
    • 2008-10-10
    • James Nicholas WatsonPaul Stanley Addison
    • James Nicholas WatsonPaul Stanley Addison
    • A61B5/00
    • A61B5/14551A61B5/7203A61B5/7257A61B5/726A61B5/742
    • According to embodiments, techniques for using continuous wavelet transforms and spectral transforms to determine oxygen saturation from photoplethysmographic (PPG) signals are disclosed. According to embodiments, a first oxygen saturation may be determined from wavelet transformed PPG signals and a second oxygen saturation may be determined from spectral transformed PPG signals. An optimal oxygen saturation may be determined by selecting one of the first and the second oxygen saturation or by combining the first and the second oxygen saturation. According to embodiments, a spectral transform of PPG signals may be performed to identify a frequency region associated with a pulse rate of the PPG signal. A continuous wavelet transform of the PPG signals at a scale corresponding to the identified frequency region may be performed to determine oxygen saturation from the wavelet transformed signal.
    • 根据实施例,公开了使用连续小波变换和频谱变换来确定来自光电体积描记术(PPG)信号的氧饱和度的技术。 根据实施例,可以从小波变换的PPG信号确定第一氧饱和度,并且可以从光谱变换的PPG信号确定第二氧饱和度。 可以通过选择第一和第二氧饱和度之一或通过组合第一和第二氧饱和度来确定最佳氧饱和度。 根据实施例,可以执行PPG信号的频谱变换以识别与PPG信号的脉冲速率相关联的频率区域。 可以执行以与所识别的频率区域对应的比例的PPG信号的连续小波变换,以从小波变换信号确定氧饱和度。
    • 53. 发明授权
    • Systems and methods for pulse processing
    • 用于脉冲处理的系统和方法
    • US08679027B2
    • 2014-03-25
    • US12242828
    • 2008-09-30
    • Paul Stanley AddisonJames Nicholas Watson
    • Paul Stanley AddisonJames Nicholas Watson
    • A61B5/02
    • A61B5/02416A61B5/0261A61B5/14551A61B5/6826A61B5/6838A61B5/7203A61B5/726
    • According to embodiments, techniques for using continuous wavelet transforms to process pulses from a photoplethysmographic (PPG) signal are disclosed. The continuous wavelet transform of the PPG signal may be used to identify and characterize features and their periodicities within a signal. Regions, phases and amplitudes within the scalogram associated with these features may then be analyzed to identify, locate, and characterize a true pulse within the PPG signal. Having characterized and located the pulse in the PPG (possibly also using information gained from conventional pulse processing techniques such as, for example, by identifying turning points for candidate pulse maxima and minima on the PPG, frequency peak picking for candidate scales of pulses, etc.), the PPG may be parameterized for ease of future processing.
    • 根据实施例,公开了使用连续小波变换来处理来自光电体积描记术(PPG)信号的脉冲的技术。 PPG信号的连续小波变换可用于识别和表征特征及其在信号内的周期性。 然后可以分析与这些特征相关联的标尺内的区域,相位和振幅,以识别,定位和表征PPG信号内的真实脉冲。 已经将脉冲特征化并定位在PPG中(可能还使用从常规脉冲处理技术获得的信息,例如通过识别候选脉冲最大值的转折点和PPG上的最小值,用于候选脉冲等级的频率峰值拾取 。),可以对PPG进行参数化,以便将来处理。
    • 55. 发明授权
    • Detecting a signal quality decrease in a measurement system
    • 检测测量系统中的信号质量下降
    • US08410951B2
    • 2013-04-02
    • US12242204
    • 2008-09-30
    • James Nicholas WatsonPaul Stanley Addison
    • James Nicholas WatsonPaul Stanley Addison
    • G08B21/00
    • G08B21/18A61B5/14551A61B5/6843A61B5/7221A61B5/726
    • Techniques for detecting a signal quality decrease are disclosed. A sensor or probe may be used to obtain a plethysmograph or photoplethysmograph (PPG) signal from a subject. A wavelet transform of the signal may be performed and a scalogram may be generated based at least in part on the wavelet transform. One or more characteristics of the scalogram may be determined. The determined characteristics may include, for example, energy values and energy structural characteristics in a pulse band, a mains hum band, and/or a noise band. Such characteristics may be analyzed to produce signal quality values and associated signal quality trends. One or more signal quality values and signal quality trends may be used to determine if a signal quality decrease has occurred or is likely to occur.
    • 公开了用于检测信号质量下降的技术。 可以使用传感器或探针来获得来自受试者的体积描记器或光电体积描记器(PPG)信号。 可以执行信号的小波变换,并且可以至少部分地基于小波变换来生成缩放图。 可以确定缩放图的一个或多个特征。 确定的特性可以包括例如脉冲频带,主干频带和/或噪声频带中的能量值和能量结构特征。 可以分析这些特征以产生信号质量值和相关的信号质量趋势。 可以使用一个或多个信号质量值和信号质量趋势来确定信号质量下降是否发生或可能发生。
    • 60. 发明申请
    • Signal Procesing Systems and Methods Using Basis Functions and Wavelet Transforms
    • 使用基函数和小波变换的信号处理系统和方法
    • US20120283536A1
    • 2012-11-08
    • US13547007
    • 2012-07-11
    • James Nicholas WatsonPaul Stanley Addison
    • James Nicholas WatsonPaul Stanley Addison
    • A61B5/1455A61B5/0205
    • A61B5/00A61B5/14551A61B5/7203A61B5/726G06K9/00516
    • According to embodiments, systems and methods are provided that use continuous wavelet transforms and basis functions to provide an optimized system for the determination of physiological information. In an embodiment, the basis functions may be used to refine an area of interest in the signal in frequency or in time, and the continuous wavelet transform may be used to identify a maxima ridge in the scalogram at scales with characteristic frequencies proximal to the frequency or frequencies of interest. In another embodiment, a wavelet transform may be used to identify regions of a signal with the morphology of interest while basis functions may be used to focus on these regions to determine or filter information of interest. In yet another embodiment, basis functions and continuous wavelet transforms may be used concurrently and their results combined to form optimized information or a confidence metric for determined physiological information.
    • 根据实施例,提供了使用连续小波变换和基函数来提供用于确定生理信息的优化系统的系统和方法。 在一个实施例中,基函数可以用于在频率或时间上细化信号中的感兴趣区域,并且连续小波变换可以用于在具有接近频率的特征频率的标度上识别标尺中的最大值脊 或兴趣频率。 在另一个实施例中,可以使用小波变换来识别具有感兴趣形态的信号的区域,而基函数可用于集中在这些区域上以确定或滤除感兴趣的信息。 在又一个实施例中,可以同时使用基函数和连续小波变换,并将其结果组合以形成用于确定的生理信息的优化信息或置信度量。