公开(公告)号：US09521954B2

公开(公告)日：2016-12-20

申请号：US13921939

申请日：2013-06-19

Applicant: Xerox Corporation

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

IPC: A61B5/00 ,  A61B5/0205

CPC classification number: A61B5/0077 ,  A61B5/0205 ,  A61B5/7221 ,  A61B5/7278 ,  A61B2562/04 ,  A61B2576/00

Abstract: What is disclosed is a video system and method that accounts for differences in imaging characteristics of differing video systems used to acquire video of respective regions of interest of a subject being monitored for a desired physiological function. In one embodiment, video is captured using N video imaging devices, where N≧2, of respective regions of interest of a subject being monitored for a desired physiological function (i.e., a respiratory or cardiac function). Each video imaging device is different but has complimentary imaging characteristics. A reliability factor f is determined for each of the devices in a manner more fully disclosed herein. A time-series signal is generated from each of the videos. Each time-series signal is weighted by each respective reliability factor and combined to obtain a composite signal. A physiological signal can be then extracted from the composite signal. The processed physiological signal corresponds to the desired physiological function.

Abstract translation: 公开的是一种视频系统和方法，其考虑了用于获取正在被监视的期望生理功能的被摄体的感兴趣区域的视频的不同视频系统的成像特征的差异。 在一个实施例中，使用N个视频成像装置捕获视频，其中N≥2个被监测的对象的各个感兴趣区域用于期望的生理功能（即，呼吸或心脏功能）。 每个视频成像设备是不同的，但具有互补的成像特征。 以这里更全面地公开的方式为每个设备确定可靠性因子f。 从每个视频产生时间序列信号。 每个时间序列信号由每个相应的可靠性因子加权并组合以获得复合信号。 然后可以从复合信号中提取生理信号。 经处理的生理信号对应于所需的生理功能。

公开(公告)号：US09436984B2

公开(公告)日：2016-09-06

申请号：US13923588

申请日：2013-06-21

Applicant: Xerox Corporation

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

IPC: G06K9/00 ,  G06T5/50 ,  G06T5/00

CPC classification number: G06T5/50 ,  G06T5/003 ,  G06T2207/10016 ,  G06T2207/10024 ,  G06T2207/20201 ,  G06T2207/30088

Abstract: What is disclosed is a system and method for compensating for motion induce artifacts in a physiological signal obtained from a video. In one embodiment, a video of a first and second region of interest of a subject being monitored for a desired physiological function is captured by a video device. The first region is an area of exposed skin wherein a desired signal corresponding to the physiological function can be registered. The second region is an area where movement is likely to induce motion artifacts into that signal. The video is processed to isolate pixels in the image frames associated with these regions. Pixels of the first region are processed to obtain a time-series signal. A physiological signal is extracted from the time-series signal. Pixels of the second region are analyzed to identify motion. The physiological signal is processed to compensate for the identified motion.

Abstract translation: 所公开的是用于补偿从视频获得的生理信号中的运动诱发伪影的系统和方法。 在一个实施例中，由视频设备捕获被监视用于期望生理功能的被摄体的第一和第二感兴趣区域的视频。 第一区域是暴露皮肤的区域，其中可以登记对应于生理功能的期望信号。 第二区域是运动可能引起运动伪影成该信号的区域。 处理视频以隔离与这些区域相关联的图像帧中的像素。 处理第一区域的像素以获得时间序列信号。 从时间序列信号中提取生理信号。 分析第二区域的像素以识别运动。 处理生理信号以补偿所识别的运动。

公开(公告)号：US09433386B2

公开(公告)日：2016-09-06

申请号：US13937740

申请日：2013-07-09

Applicant: Xerox Corporation

Inventor： Lalit Keshav Mestha ,  Survi Kyal ,  Barry P. Mandel ,  Peter Johan Nystrom

IPC: A61B6/00 ,  A61B5/00 ,  A61B5/024

CPC classification number: A61B5/7282 ,  A61B5/0022 ,  A61B5/0024 ,  A61B5/02427 ,  A61B5/6831 ,  A61B5/746

Abstract: What is disclosed is a method for monitoring a subject for cardiac arrhythmia such as atrial fibrillation using an apparatus that can be comfortably worn by the subject around an area of exposed skin where a photoplethysmographic (PPG) signal can be registered. In one embodiment, the apparatus is a reflective or transmissive wrist-worn device with emitter/detector pairs fixed to an inner side of a band with at least one illuminator emitting source light at a specified wavelength band. The illuminator is paired to a respective photodetector comprising one or more sensors that are sensitive to a wavelength band of its paired illuminator. The photodetector measures intensity of sensed light emitted by a respective illuminator. The signal obtained by the sensors comprises a continuous PPG signal. The continuous PPG signal analyzed for peak-to-peak pulse points from which the existence of cardiac arrhythmia such as atrial fibrillation event can be determined.

Abstract translation: 所公开的是用于使用可以被注射在光体积描记术（PPM）信号的暴露皮肤区域周围的受试者舒适佩戴的装置来监测心律失常的受试者的心律失常的方法，例如心房颤动。 在一个实施例中，该装置是具有发射器/检测器对的反射或透射腕部装置，其固定到带的内侧，其中至少一个照明器发射指定波长带的光源。 照明器与包括对其成对照明器的波长带敏感的一个或多个传感器的相应光电检测器配对。 光电检测器测量由相应照明器发射的感测光的强度。 由传感器获得的信号包括连续的PPG信号。 分析连续的PPG信号，从中可以确定心律失常如心房颤动事件的存在的峰 - 峰脉冲点。

公开(公告)号：US09245338B2

公开(公告)日：2016-01-26

申请号：US14281072

申请日：2014-05-19

Applicant: Xerox Corporation

Inventor： Lalit Keshav Mestha ,  Survi Kyal ,  Beilei Xu

IPC: G06T7/00 ,  G06K9/00 ,  G06K9/20

CPC classification number: G06T7/0016 ,  A61B5/0077 ,  G06K9/00362 ,  G06K9/0053 ,  G06K9/0055 ,  G06K9/2018 ,  G06K2009/00939 ,  G06T7/254 ,  G06T2207/10016 ,  G06T2207/10024 ,  G06T2207/10048 ,  G06T2207/30004 ,  G06T2207/30076

Abstract: What is disclosed is a system and method for increasing the accuracy of physiological signals obtained from video of a subject being monitored for a desired physiological function. In one embodiment, image frames of a video are received. Successive batches of image frames are processed. For each batch, pixels associated with an exposed body region of the subject are isolated and processed to obtain a time-series signal. If movement occurred during capture of these image frames that is below a pre-defined threshold level then parameters of a predictive model are updated using this batch's time-series signal. Otherwise, the last updated predictive model is used to generate a predicted time-series signal for this batch. The time-series signal is fused with the predicted time-series signal to obtain a fused time-series signal. The time-series signal for each batch is processed to obtain a physiological signal for the subject corresponding to the physiological function.

Abstract translation: 所公开的是用于增加从所监视的受试者的视频获得的生理信号的准确性的系统和方法，用于期望的生理功能。 在一个实施例中，接收视频的图像帧。 处理连续批量的图像帧。 对于每个批次，与对象的暴露的身体区域相关联的像素被隔离并被处理以获得时间序列信号。 如果在捕获低于预定阈值水平的图像帧的情况下发生移动，则使用该批次的时间序列信号来更新预测模型的参数。 否则，最后更新的预测模型用于生成该批次的预测时间序列信号。 时间序列信号与预测的时间序列信号融合以获得融合的时间序列信号。 处理每个批次的时间序列信号以获得与生理功能相对应的对象的生理信号。

公开(公告)号：US08976859B2

公开(公告)日：2015-03-10

申请号：US13708125

申请日：2012-12-07

Applicant: Xerox Corporation

Inventor： Lalit Keshav Mestha ,  Survi Kyal ,  Sohail A. Dianat

IPC: H04N5/14 ,  G06T3/40 ,  H04N7/01

CPC classification number: G06T3/4007 ,  G06T3/4053 ,  H04N7/01 ,  H04N7/0135

Abstract: What is disclosed is a novel video processing system and method wherein a plurality of image frames of a video captured using a video camera with a spatial resolution of (M×N) in the (x, y) direction, respectively, and a temporal resolution (T) in frames per unit of time. A first and second magnification factor f1, f2 are selected for spatial enhancement in the (x, y) direction. A third magnification factor f3 is selected for a desired temporal enhancement in (T). The video data is processed using a dictionary comprising high and low resolution patch cubes which are used to induce spatial and temporal components in the video where no data exists. A high resolution course video X0 is generated which has an enhanced spatial resolution of (f1*M)×(f2*N) and an enhanced temporal resolution of (f3*T) frames. The course high resolution video is then smoothed, when found required, to generate a smoothed high resolution video.

Abstract translation: 所公开的是一种新颖的视频处理系统和方法，其中使用在（x，y）方向上具有（M×N）的空间分辨率的摄像机捕获的视频的多个图像帧分别为（x，y） （T）以每单位时间的帧为单位。 选择第一和第二放大因子f1，f2用于（x，y）方向上的空间增强。 在（T）中为期望的时间增强选择第三放大因子f3。 使用包括高分辨率和低分辨率片段立方体的字典来处理视频数据，这些立方体用于在没有数据存在的视频中诱导空间和时间分量。 产生具有（f1 * M）×（f2 * N）的增强的空间分辨率和（f3 * T）帧的增强的时间分辨率的高分辨率过程视频X0。 当高分辨率视频被发现时需要平滑化，以产生平滑的高分辨率视频。

公开(公告)号：US20140247469A1

公开(公告)日：2014-09-04

申请号：US13781806

申请日：2013-03-01

Applicant: XEROX CORPORATION

Inventor： Lalit Keshav Mestha ,  Yao Rong Wang

IPC: G06K15/02

CPC classification number: G06K15/1802 ,  H04N1/6052 ,  H04N1/6061

Abstract: A color management system includes an input device, an input processor, and a plurality of print engines. The input processor is configured to transform, using an input transformation stored on the input device, the digital image in an input source color space to a digital image in a standardized multi-color color space. A print engine processor of the print engine is configured to receive the digital image in the standardized multi-color color space from the input processor and transform, using a print engine transformation stored on the print engine, the digital image in the standardized multi-color color space to a digital image in a print engine multi-color color space. The input transformation includes a color gamut coverage at least equal to color gamut coverage of all the print engines in the color management system.

Abstract translation: 颜色管理系统包括输入设备，输入处理器和多个打印引擎。 输入处理器被配置为使用存储在输入设备上的输入变换将输入源颜色空间中的数字图像转换为标准化多色颜色空间中的数字图像。 打印引擎的打印引擎处理器被配置为从输入处理器接收标准化的多色颜色空间中的数字图像，并且使用存储在打印引擎上的打印引擎变换来转换标准化多色的数字图像 彩色空间到打印引擎多色彩色空间中的数字图像。 输入变换包括至少等于颜色管理系统中所有打印引擎的色域覆盖的色域覆盖。

公开(公告)号：US08792969B2

公开(公告)日：2014-07-29

申请号：US13680838

申请日：2012-11-19

Applicant: Xerox Corporation

Inventor： Edgar A. Bernal ,  Lalit Keshav Mestha

IPC: A61B6/00

CPC classification number: A61B5/091 ,  A61B5/0077 ,  A61B5/08 ,  A61B5/0816 ,  A61B5/1127 ,  A61B5/113 ,  A61B5/1135

Abstract: What is disclosed is a system and method for processing a video acquired using a 2D monocular video camera system to assess respiratory function of a subject of interest. In various embodiments hereof, respiration-related video signals are obtained from a temporal sequence of 3D surface maps that have been reconstructed based on an amount of distortion detected in a pattern placed over the subject's thoracic region (chest area) during video acquisition relative to known spatial characteristics of an undistorted reference pattern. Volume data and frequency information are obtained from the processed video signals to estimate chest volume and respiration rate. Other respiratory function estimations of the subject in the video can also be derived. The obtained estimations are communicated to a medical professional for assessment. The teachings hereof find their uses in settings where it is desirable to assess patient respiratory function in a non-contact, remote sensing environment.

Abstract translation: 公开的是用于处理使用2D单眼摄像机系统获取的视频来评估感兴趣的对象的呼吸功能的系统和方法。 在本发明的各种实施例中，呼吸相关视频信号是根据在视频采集期间相对于已知的对象的胸部区域（胸部区域）放置的图案中检测到的失真量已被重建的3D表面贴图的时间序列获得的。 未失真的参考模式的空间特征。 从处理的视频信号中获得体数据和频率信息，以估计胸部体积和呼吸速率。 还可以推导出视频中对象的其他呼吸功能估计。 获得的估计被传达给医疗专业人员进行评估。 本文的教导在需要在非接触式遥感环境中评估患者呼吸功能的设置中找到其用途。

公开(公告)号：US09721180B2

公开(公告)日：2017-08-01

申请号：US14969147

申请日：2015-12-15

Applicant: Xerox Corporation

Inventor： Prathosh A. Prasad ,  Lalit Keshav Mestha ,  Himanshu J. Madhu

IPC: G06K9/00 ,  G06K9/46 ,  A61B5/00 ,  A61B5/08 ,  G06K9/40 ,  A61B5/113 ,  A61B5/11

CPC classification number: G06K9/4647 ,  A61B5/0013 ,  A61B5/0077 ,  A61B5/08 ,  A61B5/1128 ,  A61B5/1135 ,  A61B2576/00 ,  G06K9/0053 ,  G06K9/00751 ,  G06K9/40 ,  G06K9/4661 ,  G06K2209/05 ,  G06T7/0012 ,  G06T7/20

Abstract: A video is received of a region of a subject where a signal corresponding to respiratory function can be registered by a video device. Pixels in the region in each of the image frames are processed to identify a respiratory pattern with peak/valley pairs. A peak/valley pair of interest is selected. An array of optical flow vectors is determined between a window of groups of pixel locations in a reference image frame corresponding to a peak of the pair/valley pair and a window in each of a number of image frames corresponding to the respiratory signal between the peak and ending at a valley point. Optical flow vectors have a direction and a magnitude. A ratio is determined between upwardly pointing optical flow vectors and downwardly pointing optical flow vectors. Based on the ratio, a determination is made whether the respiration phase for that peak/valley pair is inspiration or expiration.

公开(公告)号：US09693710B2

公开(公告)日：2017-07-04

申请号：US14519641

申请日：2014-10-21

Applicant: Xerox Corporation

Inventor： Lalit Keshav Mestha ,  Beilei Xu ,  Survi Kyal

IPC: A61B6/00 ,  A61B5/08 ,  A61B5/00 ,  A61B5/11

CPC classification number: A61B5/0816 ,  A61B5/1128 ,  A61B5/7282 ,  A61B5/746 ,  A61B5/7485 ,  A61B2576/00

Abstract: What is disclosed is a system and method for determining respiration rate from a video of a subject. In one embodiment, a video is received comprising plurality of time-sequential image frames of a region of a subject's body. Features of pixels are extracted from that region from each image frame and vectors formed from these features. Each image frame has an associated feature vector. A N×M video matrix of the vectors of length N is constructed such that a total number of columns M in the video matrix correspond to a time duration over which the subject's respiration rate is to be determined. The video matrix is processed to obtain a matrix of eigenvectors where principal axes of variations due to motion associated with respiration are contained in a first few eigenvectors. One eigenvector is selected from the first few eigenvectors. A respiration rate is obtained from the selected eigenvector.

公开(公告)号：US09622698B2

公开(公告)日：2017-04-18

申请号：US14548002

申请日：2014-11-19

Applicant: Xerox Corporation

Inventor： Lalit Keshav Mestha ,  Krithika Venkataramani

IPC: A61B5/00 ,  A61B5/01 ,  A61B10/00

CPC classification number: A61B5/4312 ,  A61B5/0013 ,  A61B5/0022 ,  A61B5/004 ,  A61B5/0077 ,  A61B5/015 ,  A61B5/7264 ,  A61B5/7267 ,  A61B5/746 ,  A61B5/748 ,  A61B10/0041 ,  A61B2560/0475 ,  A61B2576/02 ,  G06F19/00 ,  G16H30/40

Abstract: What is disclosed is a system and method for the detection of cancerous tissue by analyzing blocks of pixels in a thermal image of a region of exposed skin tissue. In one embodiment, matrices are received which have been derived from vectors of temperature values associated with pixels in blocks of pixels which have been isolated from a plurality of thermal images of both cancerous and non-cancerous tissue. The vectors are rearranged to form matrices. A thermal image of a subject is received. Blocks of pixels which reside within a region of exposed skin tissue are identified and isolated. For each identified pixel block, an image vector comprising temperature values associated with these pixels is formed. The vector is provided to a classifier which uses the matrices to classify tissue associated with this block of pixels as being either cancerous or non-cancerous tissue.