公开(公告)号：US20160371833A1

公开(公告)日：2016-12-22

申请号：US14742233

申请日：2015-06-17

Applicant: Xerox Corporation

Inventor： Prathosh A. PRASAD ,  Lalit Keshav MESTHA ,  Himanshu J. MADHU

IPC: G06T7/00 ,  A61B5/11 ,  A61B5/113 ,  G06T5/00 ,  G06K9/48 ,  G06K9/62 ,  G06K9/20 ,  G06T5/20 ,  A61B5/08 ,  A61B5/00

CPC classification number: G06T7/0012 ,  A61B5/0013 ,  A61B5/0816 ,  A61B5/0826 ,  A61B5/1128 ,  A61B5/1135 ,  A61B5/4818 ,  A61B5/746 ,  G06K9/00362 ,  G06K9/2054 ,  G06K9/481 ,  G06K9/6223 ,  G06T5/002 ,  G06T5/20 ,  G06T5/50 ,  G06T7/0016 ,  G06T2207/10016 ,  G06T2207/30061 ,  G06T2207/30076

Abstract: What is disclosed is a system and method for determining a subject's respiratory pattern from a video of that subject. One embodiment involves receiving a video comprising N≧2 time-sequential image frames of a region of interest (ROI) of a subject where a signal corresponding to the subject's respiratory function can be registered by at least one imaging channel of a video imaging device. The ROI comprises P pixels. Time-series signals of duration N are generated from pixels isolated in the ROI. Features are extracted from the time-series signals and formed into P-number of M-dimensional vectors. The feature vectors are clustered into K clusters. The time-series signals corresponding to pixels represented by the feature vectors in each cluster are averaged along a temporal direction to obtain a representative signal for each cluster. One of the clusters is selected. A respiratory pattern is determined for the subject based on the representative signal.

Abstract translation: 公开的是用于从该受试者的视频确定受检者的呼吸模式的系统和方法。 一个实施例涉及接收包括受检者的感兴趣区域（ROI）的N≥2个时间顺序的图像帧的视频，其中与被摄体的呼吸功能相对应的信号可由视频成像设备的至少一个成像通道注册。 ROI包括P像素。 持续时间N的时间序列信号是从ROI中分离的像素生成的。 从时间序列信号中提取特征，形成M维向量的P数。 特征向量聚类成K个簇。 对应于每个簇中由特征向量表示的像素的时间序列信号沿着时间方向被平均，以获得每个簇的代表信号。 选择其中一个群集。 基于代表性信号确定对象的呼吸模式。

公开(公告)号：US20160287183A1

公开(公告)日：2016-10-06

申请号：US14674736

申请日：2015-03-31

Applicant: XEROX CORPORATION

Inventor： Luisa Fernanda POLANIA-CABRERA ,  Lalit Keshav MESTHA

IPC: A61B5/00 ,  A61B5/024 ,  A61B5/02

CPC classification number: A61B5/7264 ,  A61B5/0002 ,  A61B5/02028 ,  A61B5/02416 ,  A61B5/7282 ,  A61B5/746

Abstract: What is disclosed is a system and method for classifying a time-series signal as ventricular premature contraction in a subject being monitored for cardiac function assessment. One embodiment hereof involves first, receive a time-series signal which contains frequency components that relate to the function of the subject's heart. Signal segments of interest are identified in the time-series signal. Time-domain features comprising the peak-to-peak interval between cardiac pulses and pulse amplitudes are extracted for each signal segment of interest. The time-domain features are arranged into a two dimensional feature vector. Each feature vector is associated with a respective signal segment. A magnitude of each signal segment's respective feature vector is determined. Signal segments are classified as being ventricular premature contraction based on each segment's associated magnitude. In one embodiment, signal segments with associated feature vectors having a smallest magnitude are classified as being ventricular premature contraction.

Abstract translation: 公开的是用于将时间序列信号分类为被监测用于心脏功能评估的受试者的心室早搏的系统和方法。 其一个实施例首先涉及包含与被检者心脏的功能相关的频率分量的时间序列信号。 感兴趣的信号段在时间序列信号中被识别。 针对感兴趣的每个信号段提取包括心脏脉冲与脉搏幅度之间的峰 - 峰间隔的时域特征。 将时域特征排列成二维特征向量。 每个特征向量与相应的信号段相关联。 确定每个信号段的各个特征向量的大小。 信号段被分类为基于每个段的相关大小的心室过早收缩。 在一个实施例中，具有具有最小幅度的相关特征向量的信号段被分类为心室过早收缩。

公开(公告)号：US20150363928A1

公开(公告)日：2015-12-17

申请号：US14306817

申请日：2014-06-17

Applicant: Xerox Corporation

Inventor： Lalit Keshav MESTHA ,  Beilei XU ,  Rakesh Suresh KULKARNI

IPC: G06T7/00 ,  G01J5/08 ,  G06K9/46 ,  G06K9/52 ,  H04N5/33 ,  G01J5/10 ,  H04N5/30

CPC classification number: H04N5/33 ,  A61B5/0077 ,  A61B5/01 ,  A61B5/015 ,  G01J5/0025 ,  G01J5/025 ,  G01J5/089 ,  G01J5/10 ,  G01J2005/0077 ,  G06T7/0016 ,  G06T2207/10016 ,  G06T2207/10048 ,  G06T2207/30076 ,  G06T2207/30088 ,  H04N5/23229 ,  H04N5/30

Abstract: What is disclosed is a system and method for detecting febrile seizure using a thermal video camera. In one embodiment, a video is received comprising time-sequential thermal images of a subject. The video is acquired of the subject in real-time using a thermal video system. Each thermal image comprises a plurality of pixels with an intensity value of each pixel corresponding to a temperature. The thermal images are processed to determine an occurrence of a febrile seizure. The processing involves identifying a region of interest in the thermal image and determining a temperature for the region of interest based on values of the pixels isolated in that region of interest. Thereafter, a rate of change of temperatures is obtained for the subject in real-time on a per-frame basis. If the rate of change is determined to have exceeded a pre-defined threshold level, then the subject is having a febrile seizure.

Abstract translation: 公开的是使用热摄像机检测发热性惊厥的系统和方法。 在一个实施例中，接收包括被摄体的时间顺序的热图像的视频。 使用热视频系统实时拍摄该主题的视频。 每个热图像包括具有对应于温度的每个像素的强度值的多个像素。 热图像被处理以确定发热发作。 处理涉及识别热图像中的感兴趣区域，并且基于在该感兴趣区域中分离的像素的值来确定感兴趣区域的温度。 此后，以每帧为基础实时获得对象的温度变化率。 如果变化率被确定为已经超过预定义的阈值水平，则受试者具有发热性发作。

公开(公告)号：US20150317806A1

公开(公告)日：2015-11-05

申请号：US14753238

申请日：2015-06-29

Applicant: Xerox Corporation

Inventor： Edgar A. BERNAL ,  Beilei XU ,  Lalit Keshav MESTHA

IPC: G06T11/00 ,  G06T7/00

CPC classification number: G06T11/006 ,  G06T1/0007 ,  G06T7/11 ,  G06T2207/10004 ,  G06T2207/20052 ,  H04N5/225

Abstract: A method for reconstructing an image of a scene captured using a compressed sensing device. A mask is received which identifies at least one region of interest in an image of a scene. Measurements are then obtained of the scene using a compressed sensing device comprising, at least in part, a spatial light modulator configuring a plurality of spatial patterns according to a set of basis functions each having a different spatial resolution. A spatial resolution is adaptively modified according to the mask. Each pattern focuses incoming light of the scene onto a detector which samples sequential measurements of light. These measurements comprise a sequence of projection coefficients corresponding to the scene. Thereafter, an appearance of the scene is reconstructed utilizing a compressed sensing framework which reconstructs the image from the sequence of projection coefficients.

Abstract translation: 一种用于重构使用压缩感测装置拍摄的场景的图像的方法。 接收到掩模，其识别场景的图像中的至少一个感兴趣区域。 然后使用压缩感测装置获得场景的测量，所述压缩感测装置至少部分地包括根据每个具有不同空间分辨率的基础函数的集合来配置多个空间模式的空间光调制器。 根据掩模自适应地修改空间分辨率。 每个图案将场景的入射光聚焦到对光进行顺序测量的检测器上。 这些测量包括对应于场景的一系列投影系数。 此后，利用从投影系数序列重建图像的压缩感测框架来重建场景的外观。

公开(公告)号：US20150313502A1

公开(公告)日：2015-11-05

申请号：US14268656

申请日：2014-05-02

Applicant: XEROX CORPORATION

Inventor： Lalit Keshav MESTHA ,  Survi KYAL

IPC: A61B5/0452 ,  A61B5/117 ,  A61B5/00 ,  A61B5/0265 ,  A61B5/021 ,  A61B5/0295 ,  A61B5/0205 ,  A61B5/026 ,  A61B5/02

CPC classification number: A61B5/04525 ,  A61B5/0006 ,  A61B5/0013 ,  A61B5/0022 ,  A61B5/0077 ,  A61B5/02007 ,  A61B5/0205 ,  A61B5/02125 ,  A61B5/02416 ,  A61B5/02433 ,  A61B5/0245 ,  A61B5/0261 ,  A61B5/0265 ,  A61B5/0295 ,  A61B5/0402 ,  A61B5/1176 ,  A61B5/6898 ,  A61B5/7207 ,  A61B2560/0475 ,  A61B2576/00

Abstract: What is disclosed is a system and method for determining arterial pulse wave transit time for a subject. In one embodiment, a video is received comprising a plurality of time-sequential image frames of a region of exposed skin of a subject where a videoplethysmographic (VPG) signal can be registered by at least one imaging channel of the video device used to capture that video. Also received is an electrocardiogram (ECG) signal obtained using at least one sensor placed on the subject's body where a ECG signal can be obtained. Batches of image frames are processed to obtain a continuous VPG signal for the subject. Temporally overlapping VPG and ECG signals are analyzed to obtain a pulse wave transit time between a reference point on the VPG signal and a reference point on the ECG signal. The pulse transit time is used to assess pathologic conditions such as peripheral vascular disease.

Abstract translation: 公开的是用于确定受试者的动脉脉搏波传播时间的系统和方法。 在一个实施例中，接收视频，其包括受试者暴露皮肤区域的多个时间顺序图像帧，其中视频体积描记（VPG）信号可由用于捕获该视频信号的视频设备的至少一个成像通道注册 视频。 还接收了使用放置在被检体的身体上的至少一个传感器获得的心电图（ECG）信号，其中可以获得ECG信号。 处理批量的图像帧以获得对象的连续VPG信号。 分析时间重叠的VPG和ECG信号，以获得VPG信号上的参考点与ECG信号上的参考点之间的脉搏波传播时间。 脉冲传播时间用于评估外周血管疾病等病理状况。

公开(公告)号：US20150272456A1

公开(公告)日：2015-10-01

申请号：US14242322

申请日：2014-04-01

Applicant: Xerox Corporation

Inventor： Survi KYAL ,  Lalit Keshav MESTHA ,  Jean-Philippe COUDERC

IPC: A61B5/024 ,  A61B5/00

CPC classification number: A61B5/0077 ,  A61B5/0082 ,  A61B5/0295 ,  A61B5/1073

Abstract: What is disclosed is a system and method for determining whether a subject is in atrial fibrillation. A video is received of a region of exposed skin of a subject. The video is acquired of a region where a videoplethysmographic (VPG) signal can be registered by at least one imaging channel of a video imaging device. For each batch of image frames, pixels associated with the region of exposed skin are isolated and processed to obtain a time-series signal. A VPG signal is extracted from the time-series signal. The power spectral density (PSD) is computed across all frequencies within the VPG signal. A pulse harmonic strength (PHS) is calculated for this VPG signal. The pulse harmonic strength is compared to a discrimination threshold, defined herein. A determination is made whether the subject in the video is in atrial fibrillation or in normal sinus rhythm.

Abstract translation: 公开的是用于确定受试者是否在心房颤动中的系统和方法。 收到受试者暴露皮肤区域的视频。 获取视频体积描记（VPG）信号的区域可以由视频成像设备的至少一个成像通道注册的视频。 对于每批图像帧，与暴露皮肤区域相关联的像素被隔离并处理以获得时间序列信号。 从时间序列信号中提取VPG信号。 在VPG信号内的所有频率上计算功率谱密度（PSD）。 为该VPG信号计算脉冲谐波强度（PHS）。 将脉冲谐波强度与本文定义的鉴别阈值进行比较。 视频中的主体是否处于心房颤动或正常窦性心律中。

公开(公告)号：US20150245787A1

公开(公告)日：2015-09-03

申请号：US14195111

申请日：2014-03-03

Applicant: Xerox Corporation

Inventor： Survi KYAL ,  Lalit Keshav MESTHA ,  Himanshu J. MADHU

IPC: A61B5/08 ,  H04N5/357 ,  A61B5/00 ,  H04N7/18

CPC classification number: A61B5/1135 ,  A61B5/1128

Abstract: What is disclosed is a system and method for processing a video for respiratory function analysis. In one embodiment, a video is received of a region of the subject's body where a time-varying signal corresponding to the subject's respiration can be registered by the video camera. Pixels in a first batch of frames are processed to obtain a time-series signal which is filtered using a band-pass filter with a low and high cutoff frequency fL and fH, where fL and fH are a function of the subject's tidal breathing. The filtered time-series signal is analyzed to identify a next low and high cutoff frequency f′L and F′H, where fL

Abstract translation: 公开的是用于处理用于呼吸功能分析的视频的系统和方法。 在一个实施例中，接收到被摄体的身体的区域的视频，其中对应于被摄体的呼吸的时变信号可由摄像机注册。 处理第一批帧中的像素以获得使用具有低和高截止频率fL和fH的带通滤波器进行滤波的时间序列信号，其中fL和fH是受试者的潮气呼吸的函数。 分析滤波后的时间序列信号，以识别下一个低和高截止频率f'L和F'H，其中fL

公开(公告)号：US20150196269A1

公开(公告)日：2015-07-16

申请号：US14156108

申请日：2014-01-15

Applicant: Xerox Corporation

Inventor： Vaibhav RAJAN ,  Om Dadaji DESHMUKH ,  Lalit Keshav MESTHA ,  Leslie Edward S. ,  Survi KYAL ,  Beilei XU ,  Nischal Murthy PIRATLA

IPC: A61B7/00 ,  A61B7/04

CPC classification number: A61B7/003 ,  A61B5/0823 ,  A61B7/04

Abstract: What is disclosed is a system and method for determining whether a patient has an acute respiratory infection. In one embodiment, the present method involves using a handheld device to acquire an audio signal of a sound made by a patient coughing. The audio signal is then communicated, by the handheld device, to a remote computing device. Upon receiving the audio signals, signal are repeatedly retrieved from a database of signals associated with different severities of various acute respiratory conditions. A comparison is made between the received audio signal and the retrieved signals. As a result of the comparison, a determination is made whether the patient has an acute respiratory infection. An audio playback device may be employed for playing the audio signal so that a medical professional can listen to that audio signal and facilitate the determination. Various embodiments are disclosed.

Abstract translation: 公开的是用于确定患者是否具有急性呼吸道感染的系统和方法。 在一个实施例中，本方法涉及使用手持设备来获取由患者咳嗽产生的声音的音频信号。 然后，音频信号由手持设备传送到远程计算设备。 在接收到音频信号时，从与各种急性呼吸状况的不同严重程度相关联的信号的数据库重复地检索信号。 在接收到的音频信号和检索到的信号之间进行比较。 作为比较的结果，确定患者是否具有急性呼吸道感染。 可以使用音频播放装置来播放音频信号，使得医疗专业人员可以收听该音频信号并便于确定。 公开了各种实施例。

公开(公告)号：US20150187082A1

公开(公告)日：2015-07-02

申请号：US14141610

申请日：2013-12-27

Applicant: Xerox Corporation

Inventor： Edgar A. BERNAL ,  Wencheng WU ,  Lalit Keshav MESTHA

IPC: G06T7/00 ,  G06K9/46

CPC classification number: G06T7/0075 ,  G06K9/4604 ,  G06T7/11 ,  G06T7/521 ,  G06T7/593 ,  G06T2207/10016 ,  G06T2207/10024 ,  G06T2207/20004 ,  G06T2207/20104 ,  G06T2207/30201

Abstract: What is disclosed is a system and method for adaptively reconstructing a depth map of a scene. In one embodiment, upon receiving a mask identifying a region of interest (ROI), a processor changes either a spatial attribute of a pattern of source light projected on the scene by a light modulator which projects an undistorted pattern of light with known spatio-temporal attributes on the scene, or changes an operative resolution of a depth map reconstruction module. A sensing device detects the reflected pattern of light. A depth map of the scene is generated by the depth map reconstruction module by establishing correspondences between spatial attributes in the detected pattern and spatial attributes of the projected undistorted pattern and triangulating the correspondences to characterize differences therebetween. The depth map is such that a spatial resolution in the ROI is higher relative to a spatial resolution of locations not within the ROI.

Abstract translation: 公开的是用于自适应地重建场景的深度图的系统和方法。 在一个实施例中，在接收到识别感兴趣区域（ROI）的掩模之后，处理器通过光调制器来改变投射在场景上的源光的图案的空间属性，所述光调制器将未失真的光模式投射到已知的时空 场景上的属性，或改变深度图重建模块的可操作分辨率。 感测装置检测光的反射图案。 由深度图重建模块通过建立检测图案中的空间属性与投射的未失真模式的空间属性之间的对应关系并对其对应性进行三角测量，来形成场景的深度图。 深度图使得ROI中的空间分辨率相对于不在ROI内的位置的空间分辨率较高。

公开(公告)号：US20150157270A1

公开(公告)日：2015-06-11

申请号：US14099358

申请日：2013-12-06

Applicant: Xerox Corporation

Inventor： Survi KYAL ,  Lalit Keshav MESTHA

IPC: A61B5/00 ,  A61B5/117 ,  A61B5/091 ,  A61B5/024 ,  A61B5/08

CPC classification number: A61B5/7207 ,  A61B5/024 ,  A61B5/1128 ,  A61B5/1135 ,  A61B5/7203 ,  A61B5/7278 ,  A61B2576/00

Abstract: What is disclosed is a system and method for compensating for motion induced artifacts in physiological signals extracted from a video of a subject being monitored for a physiological function in a non-contact, remote sensing environment. The present method identifies a center frequency from a physiological signal obtained from processing a prior video segment. Since a moment to moment change in pulse frequency from one video segment to a next is not very large, signals obtained from sequential video segments can be repeatedly processed and an adaptive band-pass filter repeatedly re-configured and used to filter a next video segment, and so on. Using the teachings disclosed herein, a motion-compensated continuous cardiac signal can be obtained for the subject for continuous monitoring of the subject's cardiac function via video imaging. The teachings hereof provide an effective means for compensating for movement by the subject during video acquisition. Various embodiments are disclosed.

Abstract translation: 公开的是用于补偿从在非接触式遥感环境中对于生理功能进行监视的被摄体的视频提取的生理信号中的运动诱发伪影的系统和方法。 本方法根据从先前的视频段处理获得的生理信号来识别中心频率。 由于从一个视频段到下一个视频段的脉冲频率的瞬间变化不是非常大，可以重复处理从顺序视频段获得的信号，并且自适应带通滤波器被重新重新配置并用于过滤下一个视频段 ， 等等。 使用本文公开的教导，可以获得用于受试者的运动补偿的连续心脏信号，以经由视频成像连续监测受试者的心脏功能。 本发明的教导提供了一种在视频采集期间补偿受试者的运动的有效手段。 公开了各种实施例。