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10 条记录 (耗时 0.029 秒)

    SYSTEM FOR EXTRACTING RESPIRATORY RATES FROM A PULSE OXIMETER
    3.
    发明申请
    SYSTEM FOR EXTRACTING RESPIRATORY RATES FROM A PULSE OXIMETER 有权
    从脉冲氧化剂提取呼吸率的系统

    公开(公告)号：US20130197383A1

    公开(公告)日：2013-08-01

    申请号：US13823801

    申请日：2011-10-12

    申请人： Ki H. Chon ,  Jinseok Lee

    发明人： Ki H. Chon ,  Jinseok Lee

    IPC分类号： A61B5/08

    CPC分类号： A61B5/0816 ,  A61B5/14551 ,  A61B5/725

    摘要： Accurate AR method for extracting respiratory rates directly from a pulse oximeter and accurate methods of extracting respiratory rates directly from a pulse oximeter under low signal-to-noise ratio (SNR) conditions.

    摘要翻译： 用于从脉搏血氧仪直接提取呼吸频率的精确AR方法和在低信噪比（SNR）条件下直接从脉搏血氧计提取呼吸频率的准确方法。

    Methods and systems for atrial fibrillation detection
    5.
    发明授权
    Methods and systems for atrial fibrillation detection 有权
    心房颤动检测方法与系统

    公开(公告)号：US08755876B2

    公开(公告)日：2014-06-17

    申请号：US13684979

    申请日：2012-11-26

    申请人： Ki H. Chon ,  Jinseok Lee

    发明人： Ki H. Chon ,  Jinseok Lee

    IPC分类号： A61B5/046

    CPC分类号： A61B5/046 ,  A61B5/04012 ,  A61B5/0456

    摘要： Methods and systems for automatic detection of Atrial Fibrillation (AF) are disclosed. The methods and systems use time-varying coherence functions (TVCF) to detect AF. The TVCF is estimated by the multiplication of two time-varying transfer functions (TVTFs).

    摘要翻译： 公开了自动检测心房颤动（AF）的方法和系统。 方法和系统使用时变相干函数（TVCF）来检测AF。 TVCF通过两个时变传递函数（TVTF）的乘法来估计。

    PIPELINE PROCESSOR AND AN EQUAL MODEL CONSERVATION METHOD
    7.
    发明申请
    PIPELINE PROCESSOR AND AN EQUAL MODEL CONSERVATION METHOD 有权
    管道加工器和等效模型保存方法

    公开(公告)号：US20110296143A1

    公开(公告)日：2011-12-01

    申请号：US12982201

    申请日：2010-12-30

    申请人： Heejun Shim ,  Yenjo Han ,  Jae-Young Kim ,  Yeon-Gon Cho ,  Jinseok Lee

    发明人： Heejun Shim ,  Yenjo Han ,  Jae-Young Kim ,  Yeon-Gon Cho ,  Jinseok Lee

    IPC分类号： G06F9/38

    CPC分类号： G06F11/1407 ,  G06F9/3857 ,  G06F9/3861 ,  G06F9/3867

    摘要： A pipeline processor which meets a latency restriction on an equal model is provided. The pipeline processor includes a pipeline processing unit to process an instruction at a plurality of stages and an equal model compensator to store the results of the processing of some or all of the instructions located in the pipeline processing unit and to write the results of the processing in a register file based on the latency of each instruction.

    摘要翻译： 提供了一种满足相等模型的等待时间限制的流水线处理器。 流水线处理器包括处理多级指令的流水线处理单元和相等模型补偿器，以存储位于流水线处理单元中的部分或全部指令的处理结果，并写入处理结果 基于每个指令的延迟，在一个寄存器文件中。

    Motion and noise artifact detection for ECG data
    9.
    发明授权
    Motion and noise artifact detection for ECG data 有权
    ECG数据的运动和噪声伪影检测

    公开(公告)号：US08718753B2

    公开(公告)日：2014-05-06

    申请号：US13823812

    申请日：2011-10-12

    申请人： Ki H. Chon ,  Jinseok Lee

    发明人： Ki H. Chon ,  Jinseok Lee

    IPC分类号： A61B5/04

    CPC分类号： A61B5/7207 ,  A61B5/04012 ,  A61B5/0404 ,  A61B5/0432 ,  A61B5/0456

    摘要： Technologies are provided herein for real-time detection of motion and noise (MN) artifacts in electrocardiogram signals recorded by electrocardiography devices. Specifically, the present disclosure provides techniques for increasing the accuracy of identifying paroxysmal atrial fibrillation (AF) rhythms, which are often measured via such devices. According to aspects of the present disclosure, a method for detecting MN artifacts in an electrocardiogram (ECG) recording includes receiving an ECG segment and decomposing the received ECG segment into a sum of intrinsic mode functions. The intrinsic mode functions associated with MN artifacts present within the ECG segment are then isolated. The method further includes determining randomness and variability characteristic values associated with the isolated intrinsic mode functions and comparing the randomness and variability characteristic values to threshold randomness and variability characteristic values. If the randomness and variability characteristic values exceed the threshold characteristic values, the ECG signal is determined to include MN artifacts.

    摘要翻译： 本文提供的技术用于实时检测由心电图仪器记录的心电图信号中的运动和噪声（MN）伪影。 具体地，本公开提供了用于增加识别阵发性心房颤动（AF）节律的准确性的技术，其经常通过这样的装置测量。 根据本公开的方面，用于检测心电图（ECG）记录中的MN伪影的方法包括接收ECG片段并将接收到的ECG片段分解为固有模式功能的总和。 然后隔离与ECG段内存在的MN伪影相关联的固有模式功能。 该方法还包括确定与分离的固有模式函数相关联的随机性和可变性特征值，并将随机性和可变性特征值与阈值随机性和可变性特征值进行比较。 如果随机性和变异性特征值超过阈值特征值，则确定ECG信号包括MN伪像。

    MOTION AND NOISE ARTIFACT DETECTION FOR ECG DATA
    10.
    发明申请
    MOTION AND NOISE ARTIFACT DETECTION FOR ECG DATA 有权
    心电数据运动和噪声检测

    公开(公告)号：US20130190638A1

    公开(公告)日：2013-07-25

    申请号：US13823812

    申请日：2011-10-12

    申请人： Ki H. Chon ,  Jinseok Lee

    发明人： Ki H. Chon ,  Jinseok Lee

    IPC分类号： A61B5/00 ,  A61B5/04 ,  A61B5/0456 ,  A61B5/0432

    CPC分类号： A61B5/7207 ,  A61B5/04012 ,  A61B5/0404 ,  A61B5/0432 ,  A61B5/0456

    摘要： Technologies are provided herein for real-time detection of motion and noise (MN) artifacts in electrocardiogram signals recorded by electrocardiography devices. Specifically, the present disclosure provides techniques for increasing the accuracy of identifying paroxysmal atrial fibrillation (AF) rhythms, which are often measured via such devices. According to aspects of the present disclosure, a method for detecting MN artifacts in an electrocardiogram (ECG) recording includes receiving an ECG segment and decomposing the received ECG segment into a sum of intrinsic mode functions. The intrinsic mode functions associated with MN artifacts present within the ECG segment are then isolated. The method further includes determining randomness and variability characteristic values associated with the isolated intrinsic mode functions and comparing the randomness and variability characteristic values to threshold randomness and variability characteristic values. If the randomness and variability characteristic values exceed the threshold characteristic values, the ECG signal is determined to include MN artifacts.

    摘要翻译： 本文提供的技术用于实时检测由心电图仪器记录的心电图信号中的运动和噪声（MN）伪影。 具体地，本公开提供了用于增加识别阵发性心房颤动（AF）节律的准确性的技术，其经常通过这样的装置测量。 根据本公开的方面，用于检测心电图（ECG）记录中的MN伪影的方法包括接收ECG片段并将接收到的ECG片段分解为固有模式功能的总和。 然后隔离与ECG段内存在的MN伪影相关联的固有模式功能。 该方法还包括确定与分离的固有模式函数相关联的随机性和可变性特征值，并将随机性和可变性特征值与阈值随机性和可变性特征值进行比较。 如果随机性和变异性特征值超过阈值特征值，则确定ECG信号包括MN伪像。