Method and apparatus for processing and reconstructing data
    2.
    发明授权
    Method and apparatus for processing and reconstructing data 有权
    用于处理和重建数据的方法和装置

    公开(公告)号:US09075446B2

    公开(公告)日:2015-07-07

    申请号:US12972005

    申请日:2010-12-17

    IPC分类号: H03M7/30 G06F7/02

    摘要: Certain aspects of the present disclosure relate to a method for quantizing signals and reconstructing signals, and/or encoding or decoding data for storage or transmission. Points of a signal may be determined as local extrema or points where an absolute rise of the signal is greater than a threshold. The tread and value of the points may be quantized, and certain of the quantizations may be discarded before the quantizations are transmitted. After being received, the signal may be reconstructed from the quantizations using an iterative process.

    摘要翻译: 本公开的某些方面涉及用于量化信号和重构信号的方法,和/或用于存储或传输的数据的编码或解码的方法。 可以将信号的点确定为局部极值或信号的绝对上升大于阈值的点。 可以对点的胎面和值进行量化,并且在量化被发送之前某些量化可能被丢弃。 在接收之后,可以使用迭代过程从量化重构信号。

    METHOD AND APPARATUS FOR PROCESSING AND RECONSTRUCTING DATA
    4.
    发明申请
    METHOD AND APPARATUS FOR PROCESSING AND RECONSTRUCTING DATA 有权
    用于处理和重构数据的方法和装置

    公开(公告)号:US20120005248A1

    公开(公告)日:2012-01-05

    申请号:US12972005

    申请日:2010-12-17

    IPC分类号: G06F7/02

    摘要: Certain aspects of the present disclosure relate to a method for quantizing signals and reconstructing signals, and/or encoding or decoding data for storage or transmission. Points of a signal may be determined as local extrema or points where an absolute rise of the signal is greater than a threshold. The tread and value of the points may be quantized, and certain of the quantizations may be discarded before the quantizations are transmitted. After being received, the signal may be reconstructed from the quantizations using an iterative process.

    摘要翻译: 本公开的某些方面涉及用于量化信号和重构信号的方法,和/或用于存储或传输的数据的编码或解码的方法。 可以将信号的点确定为局部极值或信号的绝对上升大于阈值的点。 可以对点的胎面和值进行量化,并且在量化被发送之前某些量化可能被丢弃。 在接收之后,可以使用迭代过程从量化重构信号。

    METHOD AND APPARATUS FOR NON-INVASIVE CUFF-LESS BLOOD PRESSURE ESTIMATION USING PULSE ARRIVAL TIME AND HEART RATE WITH ADAPTIVE CALIBRATION
    7.
    发明申请
    METHOD AND APPARATUS FOR NON-INVASIVE CUFF-LESS BLOOD PRESSURE ESTIMATION USING PULSE ARRIVAL TIME AND HEART RATE WITH ADAPTIVE CALIBRATION 审中-公开
    使用脉冲到达时间和自适应校准的心率的非入路CUFF-LESS血压压力估计的方法和装置

    公开(公告)号:US20100081946A1

    公开(公告)日:2010-04-01

    申请号:US12547982

    申请日:2009-08-26

    IPC分类号: A61B5/021

    摘要: Certain aspects of the present disclosure relate to a method for estimating a blood pressure using both a pulse arrival time (PAT) and an instantaneous heart rate (HR). The PAT can be measured as the delay between QRS peaks in an electrocardiogram (ECG) signal and corresponding points in a photoplethysmogram (PPG) waveform. Parameters of the estimation model can be determined through an initial training. Then, the model parameters can be recalibrated in constant intervals using the recursive least square (RLS) approach combined with a smooth bias fixing. The proposed estimation algorithm is applied on a multi-parameter intelligent monitoring for intensive care (MIMIC) database, and the results are compared with estimation methods that use PAT only or HR only. The proposed estimation algorithm meets, on average, the Association for the Advancement of Medical Instrumentation (AAMI) requirements and outperforms other methods from the prior art. It is also shown in the present disclosure that the proposed estimation algorithm is robust to unknown skew between the ECG and PPG signals.

    摘要翻译: 本公开的某些方面涉及使用脉冲到达时间(PAT)和瞬时心率(HR)两者来估计血压的方法。 可以测量PAT作为心电图(ECG)信号中的QRS峰值与光谱体积描记图(PPG)波形中对应点之间的延迟。 估计模型的参数可以通过初始训练来确定。 然后,模型参数可以使用递归最小二乘法(RLS)方法与平滑偏置固定相结合,以恒定间隔进行重新校准。 提出的估计算法应用于重度护理(MIMIC)数据库的多参数智能监测,并将结果与​​仅使用PAT或HR的估计方法进行比较。 所提出的估计算法平均符合医疗器械进步协会(AAMI)要求,并优于现有技术的其他方法。 在本公开中还示出了所提出的估计算法对ECG和PPG信号之间的未知偏差是鲁棒的。

    FAST REPEATED INTEGRAL IMAGES
    9.
    发明申请
    FAST REPEATED INTEGRAL IMAGES 有权
    快速重复的整合图像

    公开(公告)号:US20120230600A1

    公开(公告)日:2012-09-13

    申请号:US13230775

    申请日:2011-09-12

    IPC分类号: G06K9/40

    CPC分类号: G06T5/20

    摘要: A repeated integral images method filters image data in only two passes, e.g., the first pass filters horizontal rows of pixels and a second pass filters vertical columns of pixels, or in a single pass. The filter performs at least one infinite impulse response (IIR) filter and at least one finite impulse response (FIR) filter on the image data. A plurality of IIR filters and FIR filters maybe performed to approximate a Gaussian filter. By minimizing the number of passes, the data flow between the processing unit and the storage unit is greatly reduced compared to conventional repeated integral images method thereby improving computation time.

    摘要翻译: 重复的积分图像方法仅在两遍中对图像数据进行滤波,例如,第一遍滤波器是水平行像素,第二遍滤波垂直列的像素,或者单次通过。 滤波器对图像数据执行至少一个无限脉冲响应(IIR)滤波器和至少一个有限脉冲响应(FIR)滤波器。 可以执行多个IIR滤波器和FIR滤波器以近似高斯滤波器。 通过最小化通过次数,与传统的重复积分图像方法相比,处理单元和存储单元之间的数据流大大减少,从而改善了计算时间。

    Fast repeated integral images
    10.
    发明授权
    Fast repeated integral images 有权
    快速重复积分图像

    公开(公告)号:US09036937B2

    公开(公告)日:2015-05-19

    申请号:US13230775

    申请日:2011-09-12

    IPC分类号: G06K9/40 G06T5/20

    CPC分类号: G06T5/20

    摘要: A repeated integral images method filters image data in only two passes, e.g., the first pass filters horizontal rows of pixels and a second pass filters vertical columns of pixels, or in a single pass. The filter performs at least one infinite impulse response (IIR) filter and at least one finite impulse response (FIR) filter on the image data. A plurality of IIR filters and FIR filters maybe performed to approximate a Gaussian filter. By minimizing the number of passes, the data flow between the processing unit and the storage unit is greatly reduced compared to conventional repeated integral images method thereby improving computation time.

    摘要翻译: 重复的积分图像方法仅在两遍中对图像数据进行滤波,例如,第一遍滤波器是水平行像素,第二遍滤波垂直列的像素,或者单次通过。 滤波器对图像数据执行至少一个无限脉冲响应(IIR)滤波器和至少一个有限脉冲响应(FIR)滤波器。 可以执行多个IIR滤波器和FIR滤波器以近似高斯滤波器。 通过最小化通过次数,与传统的重复积分图像方法相比,处理单元和存储单元之间的数据流大大减少,从而改善了计算时间。