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    • 5. 发明申请
    • SYSTEM AND METHOD FOR DETERMINING A RESTING HEART RATE OF AN INDIVIDUAL
    • 用于确定个体的静态心率的系统和方法
    • US20140066782A1
    • 2014-03-06
    • US13598953
    • 2012-08-30
    • Paul Stanley AddisonRui WangJames Nicholas Watson
    • Paul Stanley AddisonRui WangJames Nicholas Watson
    • A61B5/024
    • A61B5/024A61B5/02416A61B5/0245A61B5/0456A61B5/7239A61B7/00
    • A system to determine a resting heart rate (HR) of an individual. The system may include a monitor that is configured to be operatively connected to a sensor that obtains physiological signals from an individual. The monitor is configured to receive the physiological signals from the sensor. The monitor may include a validation module that is configured to analyze the physiological signals to identify valid heart beats from the physiological signals. The monitor may also include a rate-determining module that is configured to determine an HR signal that is based on the valid heart beats. The HR signal includes a series of data points. The monitor may also include an analysis module that is configured to analyze the HR signal and identify baseline data points from the series of data points. The analysis module is configured to calculate the resting HR based on the baseline data points.
    • 确定个体静息心率(HR)的系统。 该系统可以包括被配置为可操作地连接到从个人获得生理信号的传感器的监视器。 监视器被配置为从传感器接收生理信号。 监视器可以包括验证模块,其被配置为分析生理信号以从生理信号识别有效心跳。 监视器还可以包括速率确定模块,其被配置为基于有效的心脏跳动来确定HR信号。 HR信号包括一系列数据点。 监视器还可以包括分析模块,其被配置为分析HR信号并从所述一系列数据点识别基准数据点。 分析模块被配置为基于基线数据点计算静息HR。
    • 6. 发明授权
    • Signal processing systems and methods for analyzing multiparameter spaces to determine physiological states
    • 用于分析多参数空间以确定生理状态的信号处理系统和方法
    • US08660625B2
    • 2014-02-25
    • US12242915
    • 2008-10-01
    • Paul Stanley AddisonJames Nicholas WatsonEdward M. McKenna
    • Paul Stanley AddisonJames Nicholas WatsonEdward M. McKenna
    • A61B5/026A61B5/0452
    • G06K9/00536A61B5/14551A61B5/7207A61B5/726G06K9/00516G16H50/20
    • The present disclosure relates to signal processing systems and methods, and more particularly, to systems and methods for analyzing multiparameter spaces to determine changes in a physiological state. In embodiments, a first signal and a second signal may be obtained, from which a first plurality of values of a physiological parameter may be determined. At least one of the signals also may be used to generate a scalogram derived at least in part from the signal. A second plurality of values may be determined based at least in part on a feature in the scalogram. The first and second plurality of values may then be associated, and a physiological state may be analyzed using the associated first and second values. In an embodiment, the signals may be PPG signals and the associated first and second values may include a parameter scatter plot that may permit a user to determine changes in a patient's ventilation state over time.
    • 本公开涉及信号处理系统和方法,更具体地,涉及用于分析多参数空间以确定生理状态的变化的系统和方法。 在实施例中,可以获得可以确定生理参数的第一多个值的第一信号和第二信号。 信号中的至少一个也可用于产生至少部分地从该信号导出的标尺图。 可以至少部分地基于缩放图中的特征来确定第二多个值。 然后可以将第一和第二多个值相关联,并且可以使用相关联的第一和第二值分析生理状态。 在一个实施例中,信号可以是PPG信号,并且相关联的第一和第二值可以包括参数散点图,其可以允许用户随时间确定患者通气状态的变化。
    • 10. 发明授权
    • Systems and methods for identifying pulse rates
    • 用于识别脉搏率的系统和方法
    • US08285352B2
    • 2012-10-09
    • US12249087
    • 2008-10-10
    • Paul Stanley AddisonJames Nicholas Watson
    • Paul Stanley AddisonJames Nicholas Watson
    • A61B5/024A61B5/1455G01J3/433G01N33/48
    • A61B5/14551A61B5/7207A61B5/7225A61B5/7257A61B5/726
    • According to embodiments, techniques for using continuous wavelet transforms and spectral transforms to identify pulse rates from a photoplethysmographic (PPG) signal are disclosed. According to embodiments, candidate pulse rates of the PPG signal may be identified from a wavelet transformed PPG signal and a spectral transformed PPG signal. A pulse rate may be determined from the candidate pulse rates by selecting one of the candidate pulse rates or by combining the candidate pulse rates. According to embodiments, a spectral transform of a PPG signal may be performed to identify a frequency region associated with a pulse rate of the PPG signal. A continuous wavelet transform of the PPG signal at a scale corresponding to the identified frequency region may be performed to determine a pulse rate 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识别来自光电体积描记术(PPG)信号的脉率的技术。 根据实施例,可以从小波变换的PPG信号和频谱变换的PPG信号中识别PPG信号的候选脉冲速率。 可以通过选择候选脉冲速率之一或通过组合候选脉冲速率从候选脉冲速率确定脉率。 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脉率。