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    • 1. 发明申请
    • VIDEO-BASED ESTIMATION OF HEART RATE VARIABILITY
    • 基于视频的心率变化估计
    • US20130345568A1
    • 2013-12-26
    • US13532057
    • 2012-06-25
    • Lalit Keshav MESTHASurvi KYALBeilei XUHimanshu J. MADHU
    • Lalit Keshav MESTHASurvi KYALBeilei XUHimanshu J. MADHU
    • A61B5/024A61B6/00
    • 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. 发明申请
    • CONTINUOUS CARDIAC PULSE RATE ESTIMATION FROM MULTI-CHANNEL SOURCE VIDEO DATA
    • 来自多通道视频数据的连续脉冲速率估计
    • US20130343614A1
    • 2013-12-26
    • US13528307
    • 2012-06-20
    • Survi KYALLalit Keshav MESTHABeilei XU
    • Survi KYALLalit Keshav MESTHABeilei XU
    • G06K9/36
    • 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 continuously processed by repeatedly: (1) conditioning the estimated source signal obtained on a previous iteration to produce a next reference signal; (2) using this reference signal to perform constrained source separation on this next segment to obtain an estimated source signal. A frequency at which this next estimated source signal converged is the subject's estimated cardiac pulse rate for this signal segment. The reference signal is repeatedly updated. Upon convergence, the sliding window is shifted to define a next segment of the time-series signal. The method repeats for each time-series signal segment on a continuous basis or until a termination criteria is met. In such a manner, the subject's cardiac pulse rate is estimated from video data 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,时间序列信号通过重复地连续处理:(1)调节在先前迭代中获得的估计的源信号以产生下一个参考信号; (2)使用该参考信号在该下一个段执行受限的源分离以获得估计的源信号。 该下一个估计的源信号收敛的频率是该信号段的对象的估计的心脏脉搏率。 参考信号被重复更新。 在收敛时,滑动窗口被移动以限定时间序列信号的下一个段。 该方法在连续的基础上重复每个时间序列信号段,或直到满足终止标准。 以这种方式,从连续的视频数据估计被检者的心脏脉搏率。
    • 4. 发明申请
    • 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
    • US20130322729A1
    • 2013-12-05
    • US13483992
    • 2012-05-30
    • Lalit Keshav MESTHABeilei XUEdgar A. BERNAL
    • Lalit Keshav MESTHABeilei XUEdgar A. BERNAL
    • G06K9/46
    • 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。
    • 6. 发明申请
    • MINUTE VENTILATION ESTIMATION BASED ON CHEST VOLUME
    • 基于最大体积的分钟通风估算
    • US20130324874A1
    • 2013-12-05
    • US13486715
    • 2012-06-01
    • Edgar A. BERNALLalit Keshav MESTHABeilei XU
    • Edgar A. BERNALLalit Keshav MESTHABeilei XU
    • A61B5/113
    • A61B5/1077A61B5/0064A61B5/091A61B5/1128A61B5/1135G01B11/2527
    • What is disclosed is a system and method for estimating minute ventilation by analyzing distortions in reflections of structured illumination patterns captured in a video of a thoracic region of a subject of interest being monitored for respiratory function. Measurement readings can be acquired in a few seconds under a diverse set of lighting conditions and provide a non-contact approach to patient respiratory function that is particularly useful for infant care in an intensive care unit (ICU), sleep studies, and can aid in the early detection of sudden deterioration of physiological conditions due to detectable changes in patient chest volume. The systems and methods disclosed herein provide an effective tool for minute ventilation estimation and respiratory function study and analysis in a non-contact remote sensing environment.
    • 所公开的是通过分析被监测用于呼吸功能的感兴趣受试者的胸部区域的视频中捕获的结构化照明模式的反射中的失真来估计每分钟通气的系统和方法。 测量读数可以在多种照明条件下几秒钟内获得,并提供对患者呼吸功能的非接触式方法,对重症监护室(ICU),睡眠研究中的婴儿护理特别有用,并且可以帮助 由于患者胸部体积的可检测变化,早期检测到生理状况突然恶化。 本文公开的系统和方法为非接触式遥感环境中的分钟通气估计和呼吸功能研究和分析提供了有效的工具。
    • 9. 发明申请
    • REMOVING ENVIRONMENT FACTORS FROM SIGNALS GENERATED FROM VIDEO IMAGES CAPTURED FOR BIOMEDICAL MEASUREMENTS
    • 从用于生物医学测量的视频图像生成的信号中移除环境因素
    • US20130215244A1
    • 2013-08-22
    • US13401207
    • 2012-02-21
    • Lalit Keshav MESTHABeilei Xu
    • Lalit Keshav MESTHABeilei Xu
    • H04N7/18
    • H04N7/18G06T5/002G06T5/003G06T7/194G06T2207/10016G06T2207/10024G06T2207/10048G06T2207/20056G06T2207/20076G06T2207/30088
    • What is disclosed is a system and method for automatically removing undesirable periodic or random background noise from heart rate measurement signals obtained from a video camera, ambient illuminator and other unknown electromagnetic sources to improve the overall reliability of biomedical measurements. In one embodiment, a time varying video image acquired over at least one imaging channel of a subject of interest is received. The video images are then segmented into a first region comprising a localized area where plethysmographic signals of the subject can be registered and a second region comprising a localized area of the environment where the plethysmographic signals cannot be registered. Both of the regions are exposed to the same environmental factors. The segmented video signals are pre-processed and the processed signals are subtracted from each other to generate an environmentally compensated signal. The environmentally compensated signal is then communicated to a computer system.
    • 所公开的是用于从由摄像机,环境照明器和其他未知电磁源获得的心率测量信号中自动去除不期望的周期性或随机背景噪声的系统和方法,以提高生物医学测量的整体可靠性。 在一个实施例中,接收在感兴趣对象的至少一个成像通道上获取的时变视频图像。 然后将视频图像分割成包括可以登记对象的体积描记信号的局部区域的第一区域,以及包括体积描记信号不能被登记的环境的局部区域的第二区域。 这两个地区都面临着相同的环境因素。 分段视频信号被预处理,并且处理的信号彼此相减以产生环境补偿信号。 然后将经环境补偿的信号传送到计算机系统。