SYSTEM AND METHOD FOR DETERMINING VIDEO-BASED PULSE TRANSIT TIME WITH TIME-SERIES SIGNALS
    41.
    发明申请
    SYSTEM AND METHOD FOR DETERMINING VIDEO-BASED PULSE TRANSIT TIME WITH TIME-SERIES SIGNALS 有权
    用于确定具有时间序列信号的基于视频的脉冲传输时间的系统和方法

    公开(公告)号:US20140012142A1

    公开(公告)日:2014-01-09

    申请号:US14026739

    申请日:2013-09-13

    Abstract: What is disclosed is a system and method for determining a subject of interest's arterial pulse transit time from time-varying source signals generated from video images. In one embodiment, a video imaging system is used to capture a time-varying source signal of a proximal and distal region of a subject of interest. The image frames are processed to isolate localized areas of a proximal and distal region of exposed skin of the subject. A time-series signal for each of the proximal and distal regions is extracted from the source video images. A phase angle is computed with respect to frequency for each of the time-series signals to produce respective phase v/s frequency curves for each region. Slopes within a selected cardiac frequency range are extracted from each of the phase curves and a difference is computed between the two slopes to obtain an arterial pulse transit time for the subject.

    Abstract translation: 公开的是用于从由视频图像生成的时变源信号确定感兴趣的动脉脉冲传播时间的对象的系统和方法。 在一个实施例中,使用视频成像系统来捕获感兴趣对象的近端和远端区域的时变源信号。 处理图像帧以分离受试者暴露皮肤的近端和远端区域的局部区域。 从源视频图像中提取每个近端和远端区域的时间序列信号。 相对于每个时间序列信号的频率计算相位角,以产生每个区域的相位v / s频率曲线。 从每个相位曲线提取所选择的心脏频率范围内的斜率,并且在两个斜率之间计算差以获得对象的动脉脉冲传播时间。

    CONTINUOUS CARDIAC PULSE RATE ESTIMATION FROM MULTI-CHANNEL SOURCE VIDEO DATA WITH MID-POINT STITCHING
    42.
    发明申请
    CONTINUOUS CARDIAC PULSE RATE ESTIMATION FROM MULTI-CHANNEL SOURCE VIDEO DATA WITH MID-POINT STITCHING 有权
    来自多通道源视频数据的连续脉冲速率估计与中点缝合

    公开(公告)号:US20130342670A1

    公开(公告)日:2013-12-26

    申请号:US13871728

    申请日:2013-04-26

    Abstract: What is disclosed is a novel system and method for extracting photoplethysmographic (PPG) signals (i.e., cardiac signals) on a continuous basis from signals generated from video images captured of a subject being monitored for cardiac function in a non-contact remote sensing environment. In one embodiment, a time-series signal is received. The time-series signal is generated from video images captured of a region of exposed skin where a PPG signal of a subject of interest can be registered. The time-series signal is then divided into batches for processing, with successive batches having at least a 95% overlap with a previous batch. Each of the batches of time-series signals is processed to obtain a PPG signal from each batch. A mid-point of each of these PPG-signals is stitched together to obtain a continuous PPG signal for the subject. The continuous PPG signal for the subject can then viewed on a display device.

    Abstract translation: 所公开的是一种用于从非接触式遥感环境中心脏功能监测对象被捕获的视频图像产生的信号连续提取光电体积描记术(PPG)信号(即心脏信号)的新型系统和方法。 在一个实施例中,接收时间序列信号。 时间序列信号是从可以登记感兴趣对象的PPG信号的暴露皮肤区域拍摄的视频图像产生的。 然后将时间序列信号分成批次进行处理,其中连续批次与先前批次具有至少95%的重叠。 处理每批批次的时间序列信号以从每个批次获得PPG信号。 将这些PPG信号的每一个的中点缝合在一起以获得对象的连续的PPG信号。 然后可以在显示设备上观看被摄体的连续PPG信号。

    REPRESENTING A SUBJECT'S STATE OF MIND USING A PSYCHOPHYSIOLOGICAL MODEL
    44.
    发明申请
    REPRESENTING A SUBJECT'S STATE OF MIND USING A PSYCHOPHYSIOLOGICAL MODEL 审中-公开
    使用心理学模型代表主体的状态

    公开(公告)号:US20170071521A1

    公开(公告)日:2017-03-16

    申请号:US14853447

    申请日:2015-09-14

    CPC classification number: A61B5/165 A61B5/0205

    Abstract: What is disclosed is a system and method for representing a subject's state of mind given a plurality of physiological inputs. In one embodiment, a vector of physiological features is received. The vector of physiological features is provided to a psychophysiological model which comprises a plurality of models which fit the physiological features to psychological quantities, each representing a different state of mind. In a manner more fully disclosed herein, the psychological quantities are then aggregated to obtain an aggregate output that is representative of the subject's overall state of mind. Once the subject's state of mind has been represented, remedial action can then be taken.

    Abstract translation: 公开的是用于在给定多个生理输入的情况下表示受试者的心理状态的系统和方法。 在一个实施例中,接收生理特征的载体。 将生理特征向量提供给心理生理模型,其包括将生理特征适合于心理量的多个模型,每个模型表示不同的心境。 以这里更全面地公开的方式,心理量然后被聚合以获得代表受试者整体心态的总体输出。 一旦主体的心态得到了表现,那么可采取补救措施。

    SOFTWARE INTERFACE TOOL FOR BREAST CANCER SCREENING
    45.
    发明申请
    SOFTWARE INTERFACE TOOL FOR BREAST CANCER SCREENING 审中-公开
    用于乳腺癌筛查的软件界面工具

    公开(公告)号:US20160283658A1

    公开(公告)日:2016-09-29

    申请号:US14668178

    申请日:2015-03-25

    Abstract: What is disclosed is a software interface tool for breast cancer screening that is designed for medical professionals to view and analyze suspicious regions for hot spots and hence facilitate a determination of whether identified areas of breast tissue are cancerous. Isotherm maps are constructed at designated temperature resolution. Maps are displayed on the screen. Point & click on the isotherm map can extract temperature values of pixels within the region covered by the isotherm contours. Also provided are isothermic views at different viewing angles which is advantageous for visual detection. Additional functionalities for hotspot selection, cropping, zooming, viewing at different angles, etc. are also enabled by the present software interface. The present software interface further utilizes a tumor detection method which is also disclosed herein.

    Abstract translation: 公开的是用于乳腺癌筛查的软件界面工具,其被设计用于医学专业人员查看和分析可疑区域的热点,并且因此有助于确定所识别的乳腺组织区域是否是癌变的。 等温线图以指定的温度分辨率构建。 地图会显示在屏幕上。 点击等温线图可以提取由等温线轮廓覆盖的区域内的像素的温度值。 还提供了用于视觉检测的不同视角的等温视图。 目前的软件界面也支持热点选择,裁剪,缩放,不同角度观看等功能。 本软件接口还利用了本文也公开的肿瘤检测方法。

    SYSTEM AND METHOD FOR DETECTING AN ARRHYTHMIC CARDIAC EVENT FROM A CARDIAC SIGNAL
    47.
    发明申请
    SYSTEM AND METHOD FOR DETECTING AN ARRHYTHMIC CARDIAC EVENT FROM A CARDIAC SIGNAL 审中-公开
    用于从心脏信号检测ARRHYTHMIC CARDIAC事件的系统和方法

    公开(公告)号:US20160106378A1

    公开(公告)日:2016-04-21

    申请号:US14519607

    申请日:2014-10-21

    Abstract: What is disclosed is a system and method for detecting an arrhythmic or non-arrhythmic event from a cardiac signal obtained from a subject. In one embodiment, a plurality of different cardiac signals are received and are transformed into frequency domain signals which, in turn, are changed such that a dominant frequency in each of the signals is substantially aligned to form a matrix of feature vectors. The feature matrix is used to train a classifier. A cardiac signal from the subject is received and transformed to a frequency domain signal. The frequency domain signal is changed such that a dominant is substantially aligned with a dominant frequency of signals used to train the classifier. The subject's frequency domain signal is provided as a new feature vector to the classifier. The classifier uses the new feature vector to classify the subject as having an arrhythmic or a non-arrhythmic event.

    Abstract translation: 公开的是用于从从受试者获得的心脏信号中检测心律失常或非心律不齐事件的系统和方法。 在一个实施例中,接收多个不同的心脏信号并将其变换成频域信号,频域信号又被改变,使得每个信号中的主要频率基本对准以形成特征向量的矩阵。 特征矩阵用于训练分类器。 来自受试者的心脏信号被接收并变换为频域信号。 改变频域信号,使得显性基本上与用于训练分类器的信号的主频对齐。 被摄体的频域信号作为新特征向量提供给分类器。 分类器使用新的特征向量将主体分类为具有心律失常或非心律失常事件。

    INCREASING ACCURACY OF A PHYSIOLOGICAL SIGNAL OBTAINED FROM A VIDEO OF A SUBJECT
    49.
    发明申请
    INCREASING ACCURACY OF A PHYSIOLOGICAL SIGNAL OBTAINED FROM A VIDEO OF A SUBJECT 有权
    从主体视频中获取的生理信号的提高精度提高

    公开(公告)号:US20150332457A1

    公开(公告)日:2015-11-19

    申请号:US14281072

    申请日:2014-05-19

    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。

    DETERMINING PULSE WAVE TRANSIT TIME FROM PPG AND ECG/EKG SIGNALS
    50.
    发明申请
    DETERMINING PULSE WAVE TRANSIT TIME FROM PPG AND ECG/EKG SIGNALS 审中-公开
    从PPG和ECG / EKG信号确定脉冲波形传输时间

    公开(公告)号:US20150313486A1

    公开(公告)日:2015-11-05

    申请号:US14596344

    申请日:2015-01-14

    Abstract: What is disclosed is a system and method for determining a pulse transit time for a subject. In one embodiment, the system comprises a handheld wireless cellular device configured with a sensor to acquire an electrocardiogram (ECG) signal from the subject and a photodetector generating a time-series signal in response to continuously sensing a reflection of source light off a region of exposed skin of the subject where a photoplethysmographic (PPG) signal can be detected by the photodetector. In one embodiment, the time-series signal is a PPG signal. In another embodiment, the time-series signal is processed to extract a PPG signal. A temporally overlapping segment of the PPG and ECG signals is analyzed to obtain a pulse transit time between a reference point on the PPG 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: 公开的是用于确定对象的脉冲传播时间的系统和方法。 在一个实施例中,该系统包括手持式无线蜂窝设备,其被配置有传感器以从对象获取心电图(ECG)信号;以及光电检测器,响应于连续感测源光源的反射而产生时间序列信号 可以通过光电检测器检测光电体积描记术(PPG)信号的受试者的暴露皮肤。 在一个实施例中,时间序列信号是PPG信号。 在另一个实施例中,处理时间序列信号以提取PPG信号。 分析PPG和ECG信号的时间上重叠的段以获得PPG信号上的参考点和ECG信号上的参考点之间的脉冲传播时间。 脉冲传播时间用于评估外周血管疾病等病理状况。

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