CEREBRAL BIOPOTENTIAL ANALYSIS SYSTEM AND METHOD
    2.
    发明申请
    CEREBRAL BIOPOTENTIAL ANALYSIS SYSTEM AND METHOD 审中-公开
    胚胎生物分析系统和方法

    公开(公告)号:WO1993007804A1

    公开(公告)日:1993-04-29

    申请号:PCT/US1992009074

    申请日:1992-10-23

    Abstract: A system and method to obtain (19) unipolar EEG signals from electrodes (13) attached to a patient's head (14). The EEG signals are detected by the electrodes and transmitted over a patient cable (16) to the EEG data acquisition and analysis system (12). The system (12) generates all power spectrum, bispectrum, and higher-order spectrum arrays. These arrays are then used in conjunction with clinically predetermined coefficient arrays to produce diagnostic indices. These indices are sent to the host computer (18) and are displayed on the graphics display (2). Printed output of the diagnostic index is also available on the hard copy output device (22) which is connected to the microcomputer (18). The operator interacts with the acquisition and analysis components of the system by means of a user input device (24) with feedback on the graphics display (20).

    Abstract translation: 一种从连接到患者头部(14)上的电极(13)获得(19)单极EEG信号的系统和方法。 EEG信号由电极检测并通过患者电缆(16)传输到EEG数据采集和分析系统(12)。 系统(12)生成所有功率谱,双谱和高阶光谱阵列。 然后将这些阵列与临床预定的系数阵列结合使用以产生诊断指标。 这些索引被发送到主计算机(18)并显示在图形显示器(2)上。 诊断索引的打印输出也可以连接到微型计算机(18)的硬拷贝输出装置(22)上。 操作者通过在图形显示器(20)上具有反馈的用户输入设备(24)与系统的采集和分析组件进行交互。

    ELECTRODE CONNECTOR SYSTEM
    3.
    发明申请
    ELECTRODE CONNECTOR SYSTEM 审中-公开
    电极连接器系统

    公开(公告)号:WO1997014358A1

    公开(公告)日:1997-04-24

    申请号:PCT/US1996016596

    申请日:1996-10-18

    Abstract: Disclosed is a physiological electrical signal connector system (20) with one connector (20a) connected to an electrode set (24) and another connector (20b) connected to a digital signal convertor (14) which leads to a patient monitor (10). Each type of electrode set has a specific code identified with it and when connected to the digital signal convertor (14), the connector code is recognized by the digital signal convertor. The connector code is then relayed to the monitor (10) which will self-configure based on the identified code.

    Abstract translation: 公开了一种生理电信号连接器系统(20),其具有连接到电极组(24)的一个连接器(20a)和连接到通向患者监视器(10)的数字信号转换器(14)的另一个连接器(20b)。 每种类型的电极组具有用其识别的特定代码,并且当连接到数字信号转换器(14)时,连接器代码被数字信号转换器识别。 然后将连接器代码中继到监视器(10),监视器将根据识别的代码进行自配置。

    CEREBRAL BIOPOTENTIAL ANALYSIS SYSTEM AND METHOD
    4.
    发明申请
    CEREBRAL BIOPOTENTIAL ANALYSIS SYSTEM AND METHOD 审中-公开
    胚胎生物分析系统和方法

    公开(公告)号:WO1995033404A1

    公开(公告)日:1995-12-14

    申请号:PCT/US1995007310

    申请日:1995-06-08

    Abstract: Disclosed is a system, comprising a microcomputer (18), a user input device (24), a graphics display (20), a hard copy output device (22), a method to derive a diagnostic index indicative of a selected cerebral phenomena which obtains (19) unipolar EEG signals in an acquisition, and an analysis system (12) from regions of interest on both the left and right hemispheres of the brain of a subject (15). The system uses high gain, low noise amplifiers to maximize the dynamic range for low energy wave components of the signals. Band-pass filtering is used to reduce noise and to avoid an alias. The system applies commonly used digital signal processing (DSP) techniques to digitize, to low pass filter (100Hz), and to decimate the signals. Power spectral, bi-spectral, and higher order spectral processing is then performed.

    Abstract translation: 公开了一种系统,包括微型计算机(18),用户输入设备(24),图形显示器(20),硬拷贝输出设备(22),导出指示所选择的脑现象的诊断指标的方法, (19)在采集中获得(19)单极EEG信号,以及来自受试者的脑的左半球和右半球上的感兴趣区域的分析系统(12)。 该系统使用高增益低噪声放大器来最大化信号的低能量波分量的动态范围。 带通滤波用于降低噪声并避免别名。 该系统将常用的数字信号处理(DSP)技术应用于数字化,低通滤波器(100Hz),并对信号进行抽取。 然后执行功率谱,双光谱和高阶光谱处理。

    SYSTEM AND METHOD FOR FACILITATING CLINICAL DECISION MAKING
    5.
    发明授权
    SYSTEM AND METHOD FOR FACILITATING CLINICAL DECISION MAKING 有权
    系统和方法,以促进临床决策

    公开(公告)号:EP1105812B1

    公开(公告)日:2003-01-08

    申请号:EP99942007.8

    申请日:1999-08-04

    CPC classification number: A61B5/4821 A61B5/0476 A61B5/0488 G06F19/00

    Abstract: Disclosed is a system and method for providing information to the user of a medical monitoring or diagnostic device to aid in the clinical decision making process. The preferred embodiment uses two estimators or predictors of the same physiological quantity, with each of the estimators being designed to detect specific states or artifacts in the estimated parameter and thus operating at a different point on its respective ROC curve; one chosen to provide high sensitivity, the other chosen to provide high specificity. The divergence between the estimators is indicated by the use of a shaded region between their respective time trends. The use of 2 estimators of the same parameters with different performance characteristics allows the system and method of the present invention to derive additional information about the underlying physiologic process over and above that which would be available from a single estimator. The system and method of the present invention can derive information from not only the instantaneous values of the estimators and the difference between them, but also from the time trend of the difference.

    CEREBRAL BIOPOTENTIAL ANALYSIS SYSTEM AND METHOD
    7.
    发明授权
    CEREBRAL BIOPOTENTIAL ANALYSIS SYSTEM AND METHOD 失效
    系统和方法分析生物电势脑

    公开(公告)号:EP0764001B1

    公开(公告)日:2003-05-14

    申请号:EP95922265.4

    申请日:1995-06-08

    Abstract: Disclosed is a system and method to derive a diagnostic index indicative of a selected cerebral phenomena which obtains 19 unipolar EEG signals from regions of interest on both the left and right hemispheres of a subject's brain. The system uses high-gain, low-noise amplifiers to maximize the dynamic range for low energy wave components of the signals. Band-pass filtering is used to reduce noise and to avoid aliasing. The system applies commonly used digital signal processing (DSP) techniques to digitize, to low-pass filter (100 Hz), and to decimate the signals. Power spectral, bispectral, and higher-order spectral processing is then performed. In a preferred embodiment, the system divides the most recent 63 seconds of digitized EEG data from each lead into 60 4-second intervals, each with 3 seconds of overlap with the previous interval. For a selected set of derived leads, the system produces auto power spectrum, autobispectrum, and auto higher-order spectrum variables, by using either a Fast Fourier Transform (FFT) based approach or a parametric approach. Any pair of leads can be combined to compute cross power spectrum, cross bispectrum, and cross higher-order spectrum variables. The spectral values are separated into bins and a value representative of the bin is selected or computed and then each value is multiplied by a predetermined coefficient. The resulting products are summed to arrive at the diagnostic index.

    SYSTEM AND METHOD FOR FACILITATING CLINICAL DECISION MAKING
    8.
    发明公开
    SYSTEM AND METHOD FOR FACILITATING CLINICAL DECISION MAKING 有权
    系统和方法,以促进临床决策

    公开(公告)号:EP1105812A1

    公开(公告)日:2001-06-13

    申请号:EP99942007.8

    申请日:1999-08-04

    CPC classification number: A61B5/4821 A61B5/0476 A61B5/0488 G06F19/00

    Abstract: Disclosed is a system and method for providing information to the user of a medical monitoring or diagnostic device to aid in the clinical decision making process. The preferred embodiment uses two estimators or predictors of the same physiological quantity, with each of the estimators being designed to detect specific states or artifacts in the estimated parameter and thus operating at a different point on its respective ROC curve; one chosen to provide high sensitivity, the other chosen to provide high specificity. The divergence between the estimators is indicated by the use of a shaded region between their respective time trends. The use of 2 estimators of the same parameters with different performance characteristics allows the system and method of the present invention to derive additional information about the underlying physiologic process over and above that which would be available from a single estimator. The system and method of the present invention can derive information from not only the instantaneous values of the estimators and the difference between them, but also from the time trend of the difference.

    CEREBRAL BIOPOTENTIAL ANALYSIS SYSTEM AND METHOD
    9.
    发明公开
    CEREBRAL BIOPOTENTIAL ANALYSIS SYSTEM AND METHOD 失效
    FOR GEHIRNBIOPOTENTIAL分析系统和方法。

    公开(公告)号:EP0468999A1

    公开(公告)日:1992-02-05

    申请号:EP90905998.0

    申请日:1990-03-13

    Abstract: Disclosed is a real time cerebral diagnostic apparatus and method for quantitatively evaluating, in a noninvasive manner, cerebral phenomena such as the depth and adequacy of anesthesia pain responses during surgical stress, acute cerebral ischemia, level of consciousness, degree of intoxication and ongoing normal and abnormal cognitive processes. A suitable electrode and amplifier system is used to obtain high resolution biopotentials from the regions of interest. Surface electroencephalographic (EEG) signals are filtered to allow the acquisition of frequencies between 2 and 500 Hz, then digitized and transmitted over a high speed serial line to a host computer where a 32 second long signal is divided into 128 consecutive 0.25 second intervals. Digital EEG data from unipolar leads is normalized and the dynamic phase and density relations within the signal are then characterized by estimating the third-order autocorrelation function or autobispectrum using either a frequency domain, or parametric approach. Paired EEG data from corresponding left and right hemisphere leads is used to characterize the dynamic phase and density relations between hemispheres by estimating the third order crosscorrelation function or crossbispectrum using either frequency domain or parametric techniques. Under certain specific filtering circumstances the power spectrum and crosspower spectrum are also computed. A reference clinical database is used to identify frequency pairs most sensitive to particular interventions or diagnostic states of interest. The values at these frequency pairs are then extracted from the patient's autobicoherence, autobispectral density, autobiphase, crossbicoherence, crossbispectral density, and crossbiphase arrays. The ensemble of values for the particular diagnostic determination is used to compute an index which serves as the diagnostic criterion by which the patient's state is judged. Any diagnostic index can be continuously displayed on a graphics terminal for real-time diagnostic monitoring or can be sent to a hard copy device to generate reports for the medical record.

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