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    • 3. 发明授权
    • Processing a video for tidal chest volume estimation
    • 处理潮汐胸部体积估计的视频
    • US09226691B2
    • 2016-01-05
    • US13486637
    • 2012-06-01
    • Edgar A. BernalLalit Keshav MesthaBeilei Xu
    • Edgar A. BernalLalit Keshav MesthaBeilei Xu
    • A61B5/091A61B5/00A61B5/107A61B5/11A61B5/113G01B11/25
    • A61B5/091A61B5/0064A61B5/1077A61B5/1128A61B5/1135G01B11/2527
    • What is disclosed is a system and method for estimating tidal chest volume using 3D surface reconstruction based on an analysis of captured reflections of structured illumination patterns from the subject with a video camera. The imaging system hereof captures the reflection of the light patterns from a target area of the subject's thoracic region. The captured information produces a depth map and a volume is estimated from the resulting 3D map. The teachings hereof provide a non-contact approach to patient respiration monitoring that is particularly useful for infant care in a neo-natal intensive care unit (NICU), and can aid in the early detection of sudden deterioration of physiological condition due to detectable changes in respiratory function. The systems and methods disclosed herein provide an effective tool for tidal chest volume study and respiratory function analysis.
    • 所公开的是基于使用摄像机对来自被摄体的结构化照明图案的捕获反射的分析来使用3D表面重建来估计潮汐胸部体积的系统和方法。 其成像系统捕获来自受试者胸部区域的目标区域的光图案的反射。 捕获的信息产生一个深度图,并且从所得到的3D地图估计出一个体积。 本发明的教导提供了对新生儿重症监护病房(NICU)中的婴儿护理特别有用的患者呼吸监测的非接触方法,并且可以有助于早期发现由于可检测的变化引起的生理状态突然恶化 呼吸功能。 本文公开的系统和方法为潮汐胸部体积研究和呼吸功能分析提供了有效的工具。
    • 6. 发明授权
    • Processing a video for vascular pattern detection and cardiac function analysis
    • 处理血管图案检测和心脏功能分析的视频
    • US08897522B2
    • 2014-11-25
    • US13483992
    • 2012-05-30
    • Lalit Keshav MesthaBeilei XuEdgar A. Bernal
    • Lalit Keshav MesthaBeilei XuEdgar A. Bernal
    • G06K9/00A61B5/02
    • G06T7/0016A61B5/0077A61B5/02A61B5/021A61B5/02416A61B5/029A61B5/489G06T2207/10024G06T2207/10048G06T2207/30076G06T2207/30101
    • What is disclosed is a non-contact system and method for determining cardiac function parameters from a vascular pattern identified from RGB and IR video signals captured simultaneously of a region of exposed skin of a subject of interest. In one embodiment, a video of a region of exposed skin is captured using a video camera that captures color values for pixels over visible channels and an IR camera that measures pixel intensity values in wavelength ranges of interest. Pixel intensity values are processed to generate a vascular binary mask that indicates pixel locations corresponding to the vascular pathways. The IR images are registered with corresponding data from the camera's visible channels such that pixels that correspond to the vascular pattern can be isolated in each frame of the video of visible color data. Once processed, pixels associated with the isolated vascular patterns are analyzed to determine desired cardiac function parameters.
    • 公开的是一种非接触式系统和方法,用于根据由目标受试者的暴露皮肤区域同时捕获的RGB和IR视频信号识别的血管图案来确定心脏功能参数。 在一个实施例中,使用捕获可见信道上的像素的颜色值的摄像机和测量感兴趣的波长范围内的像素强度值的IR照相机捕获暴露皮肤区域的视频。 处理像素强度值以产生指示对应于血管通路的像素位置的血管二进制掩模。 红外图像与来自相机的可视通道的相应数据一起登记,使得与血管图案相对应的像素可以在可见颜色数据的视频的每个帧中被隔离。 一旦处理,分析与分离的血管图案相关联的像素以确定期望的心脏功能参数。
    • 7. 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。
    • 8. 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。