公开(公告)号：US08617081B2

公开(公告)日：2013-12-31

申请号：US13247683

申请日：2011-09-28

申请人： Lalit Keshav Mestha ,  Survi Kyal ,  Gill Rafael Tsouri ,  Sohail A. Dianat ,  Beilei Xu

发明人： Lalit Keshav Mestha ,  Survi Kyal ,  Gill Rafael Tsouri ,  Sohail A. Dianat ,  Beilei Xu

IPC分类号： A61B5/02

CPC分类号： A61B5/0022 ,  A61B5/0077 ,  A61B5/024 ,  A61B2576/00 ,  G01J5/026 ,  G01J5/089 ,  G06F19/00 ,  G16H40/67

摘要： What is disclosed is a system and method for recovering a patient's cardiac pulse rate from a sequence of video images recording of that patient. In one embodiment, a reference signal of a particular frequency is generated at predetermined frequency intervals and a constrained source separation is performed on the source data to obtain an estimation of the source signal intended to be recovered. The reference signal is updated and constrained source separation is again performed. These operations are repeated for all frequencies of the reference signal. The frequency at which a minimum error is achieved is determined to be the subject's recovered cardiac pulse frequency. In such a manner, the source signal is extracted and recovered reliably from captured multi-channel RGB signals or multispectral signals. The teachings hereof find their uses in a variety of medical solutions including various military, security and telemedicine applications. Various embodiments are disclosed.

摘要翻译： 所公开的是用于从记录该患者的视频图像的序列中恢复患者心脏脉搏率的系统和方法。 在一个实施例中，以预定的频率间隔产生特定频率的参考信号，并且对源数据执行受限的源分离以获得旨在被恢复的源信号的估计。 更新参考信号并再次执行约束源分离。 对参考信号的所有频率重复这些操作。 实现最小误差的频率被确定为受试者的恢复心脏脉搏频率。 以这种方式，从捕获的多通道RGB信号或多光谱信号可靠地提取和恢复源信号。 其教学方法可用于各种医疗解决方案，包括各种军事，安全和远程医疗应用。 公开了各种实施例。

公开(公告)号：US08977347B2

公开(公告)日：2015-03-10

申请号：US13532057

申请日：2012-06-25

申请人： Lalit Keshav Mestha ,  Survi Kyal ,  Beilei Xu ,  Himanshu J. Madhu

发明人： Lalit Keshav Mestha ,  Survi Kyal ,  Beilei Xu ,  Himanshu J. Madhu

IPC分类号： A61B5/024

CPC分类号： A61B5/02405 ,  A61B5/0004 ,  A61B5/02416 ,  A61B5/7235 ,  A61B2576/00

摘要： 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.

摘要翻译： 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。

公开(公告)号：US08855384B2

公开(公告)日：2014-10-07

申请号：US13528307

申请日：2012-06-20

申请人： Survi Kyal ,  Lalit Keshav Mestha ,  Beilei Xu

发明人： Survi Kyal ,  Lalit Keshav Mestha ,  Beilei Xu

IPC分类号： G06K9/00

CPC分类号： G06K9/6217 ,  A61B5/024 ,  G06K9/0057 ,  G06K2209/05

摘要： 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.

摘要翻译： 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。

公开(公告)号：US08838209B2

公开(公告)日：2014-09-16

申请号：US13401286

申请日：2012-02-21

申请人： Lalit Keshav Mestha ,  Survi Kyal

发明人： Lalit Keshav Mestha ,  Survi Kyal

IPC分类号： A61B5/00

CPC分类号： G06T7/0012 ,  A61B5/0075 ,  A61B5/02125 ,  G06T2207/30076 ,  G06T2207/30104

摘要： 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.

摘要翻译： 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。