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    • 2. 发明授权
    • Video-based estimation of heart rate variability
    • 基于视频的心率变异性估计
    • US08977347B2
    • 2015-03-10
    • US13532057
    • 2012-06-25
    • Lalit Keshav MesthaSurvi KyalBeilei XuHimanshu J. Madhu
    • Lalit Keshav MesthaSurvi KyalBeilei XuHimanshu J. Madhu
    • A61B5/024
    • A61B5/02405A61B5/0004A61B5/02416A61B5/7235A61B2576/00
    • What is disclosed is a video-based system and method for estimating heart rate variability from time-series signals generated from video images captured of a subject of interest being monitored for cardiac function. In a manner more fully disclosed herein, low frequency and high frequency components are extracted from a time-series signal obtained by processing a video of the subject being monitored. A ratio of the low and high frequency of the integrated power spectrum within these components is computed. Analysis of the dynamics of this ratio over time is used to estimate heart rate variability. The teachings hereof can be used in a continuous monitoring mode with a relatively high degree of measurement accuracy and find their uses in a variety of diverse applications such as, for instance, emergency rooms, cardiac intensive care units, neonatal intensive care units, and various telemedicine applications.
    • 所公开的是一种基于视频的系统和方法,用于从由心脏功能监测的感兴趣对象的视频图像产生的时间序列信号估计心率变异性。 以这里更完全公开的方式,从通过处理被监视对象的视频获得的时间序列信号中提取低频和高频分量。 计算这些分量内的综合功率谱的低频和高频比。 分析这个比率随时间的动力学被用于估计心率变异性。 其教导可以以相对较高的测量精度的连续监测模式使用,并且可以在各种各样的应用中使用,例如急诊室,心脏重症监护病房,新生儿重症监护病房和各种各样的 远程医疗应用。
    • 3. 发明授权
    • Continuous cardiac pulse rate estimation from multi-channel source video data
    • 来自多通道源视频数据的连续心脏脉搏率估计
    • US08855384B2
    • 2014-10-07
    • US13528307
    • 2012-06-20
    • Survi KyalLalit Keshav MesthaBeilei Xu
    • Survi KyalLalit Keshav MesthaBeilei Xu
    • G06K9/00
    • G06K9/6217A61B5/024G06K9/0057G06K2209/05
    • What is disclosed is a computationally efficient system and method for estimating a subject's cardiac pulse rate from multi-channel source video data. In one embodiment, A time-series signal is received. A sliding window is used to define overlapping segments of the time-series signal. Signal segments are processed by performing constrained independent component analysis (cICA) until convergence to obtain an estimated source signal. A frequency of each estimated source signal obtained by the cICA at convergence is determined to be the subject's estimated cardiac pulse rate for each signal segment. A seed reference signal used by the cICA is repeatedly updated. A sliding window is shifted to define a next time-series signal segment for processing. The method repeats for each signal segment until a termination criteria is met. In such a manner, the subject's cardiac pulse rate is estimated from a video of the subject on a continuous basis.
    • 所公开的是用于从多信道源视频数据估计被摄体的心脏脉搏率的计算有效的系统和方法。 在一个实施例中,接收时间序列信号。 滑动窗口用于定义时间序列信号的重叠段。 通过执行受约束的独立分量分析(cICA)直到收敛以获得估计的源信号来处理信号段。 将通过cICA在会聚处获得的每个估计的源信号的频率确定为每个信号段的被摄体估计的心脏脉搏率。 cICA使用的种子参考信号被重复更新。 移动滑动窗口以定义下一个时间序列信号段进行处理。 该方法对于每个信号段重复,直到满足终止标准。 以这种方式,从受试者的视频连续地估计受试者的心脏脉搏率。
    • 4. 发明授权
    • Deriving arterial pulse transit time from a source video image
    • 从源视频图像导出动脉脉冲传播时间
    • US08838209B2
    • 2014-09-16
    • US13401286
    • 2012-02-21
    • Lalit Keshav MesthaSurvi Kyal
    • Lalit Keshav MesthaSurvi Kyal
    • A61B5/00
    • G06T7/0012A61B5/0075A61B5/02125G06T2207/30076G06T2207/30104
    • What is disclosed is a system and method for determining an arterial pulse transit time of a subject of interest in a remote sensing environment. A video imaging system is used to capture a time varying source images of a proximal and distal region of a subject intended to be analyzed for arterial pulse transit time. A time series signal for each of the proximal and distal regions is extracted from the source images and a phase of each of the extracted time series signals is computed. A difference is then computed between these phases. This phase difference is a monotonic function of frequencies in the signals. From the monotonic function, an arterial pulse transit time of the subject is extracted. The subject's arterial pulse transit time is then communicated to a computer system. The computer system determines blood pressure, blood vessel blockage, blood flow velocity, or a peripheral neuropathy.
    • 公开的是用于确定遥感环境中感兴趣的对象的动脉脉冲传播时间的系统和方法。 视频成像系统用于捕获旨在分析动脉脉冲传播时间的受试者的近端和远端区域的时变源图像。 从源图像提取每个近端和远端区域的时间序列信号,并且计算每个提取的时间序列信号的相位。 然后在这些阶段之间计算差异。 该相位差是信号中频率的单调函数。 从单调功能,提取对象的动脉脉冲传播时间。 然后将受试者的动脉脉冲传播时间传达到计算机系统。 计算机系统确定血压,血管阻塞,血流速度或周围神经病变。