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    • 2. 发明授权
    • Coherent pattern identification in non-stationary periodic data and
blood pressure measurement using same
    • 非平稳周期数据中的相干模式识别和使用相同模式的血压测量
    • US5772600A
    • 1998-06-30
    • US665362
    • 1996-06-17
    • Alan R. KahnDennis E. BahrKurt W. Allen
    • Alan R. KahnDennis E. BahrKurt W. Allen
    • A61B5/0225A61B5/0285A61B5/02
    • A61B5/02208A61B5/0225A61B5/0285
    • A method and apparatus for automatically recognizing meaningful patterns in non-stationary periodic data is provided. The invention may be used in making measurements of physiological phenomena, such as arterial blood pressure, wherein data of interest is undergoing small changes in timing and magnitude in succeeding cycles, and wherein noise artifacts are detected along with the data of interest. Data points of interest are identified by grouping all received data points into family groups of multi-dimensional data points wherein each data point in the family group has dimensional values similar to at least one other data point in the family. The present invention may preferably be employed for the determination of a patient's systolic and diastolic blood pressure levels. For this application, the data points include a time dimension value corresponding to the delay time between an ECG signal and the detection of a potential blood pressure sound by a microphone placed in an inflatable cuff on the arm of a patient, and a magnitude dimension value corresponding to the cuff pressure at the time of the potential blood pressure sound detection. Data points are collected for a series of cuff pressures ranging from above the systolic blood pressure level of the patient to below the diastolic blood pressure level of the patient. The highest and lowest pressures of data points in the family containing the largest number of data points are used to derive the systolic and diastolic blood pressure levels of the patient, respectively.
    • 提供了一种在非平稳周期数据中自动识别有意义的模式的方法和装置。 本发明可以用于测量生理现象,例如动脉血压,其中感兴趣的数据在随后的周期中的时间和量值经历小的变化,并且其中检测到噪声伪像以及感兴趣的数据。 通过将所有接收到的数据点分组成多维数据点的族组来识别感兴趣的数据点,其中家庭组中的每个数据点具有与家族中的至少一个其他数据点相似的尺寸值。 本发明可优选用于确定患者的收缩压和舒张压水平。 对于该应用,数据点包括对应于ECG信号与放置在患者的手臂上的可充气袖带中的麦克风的潜在血压声音的延迟时间之间的时间维度值,以及幅度尺寸值 对应于潜在血压声音检测时的袖带压力。 收集数据点,用于从患者的收缩压水平高于患者的舒张压水平以下的一系列袖带压。 使用包含最多数据点的家庭中数据点的最高和最低压力分别用于导出患者的收缩压和舒张压水平。
    • 3. 发明授权
    • Vital signs monitor
    • 生命体征监测
    • US4860759A
    • 1989-08-29
    • US93952
    • 1987-09-08
    • Alan R. KahnJennifer K. Chandler
    • Alan R. KahnJennifer K. Chandler
    • A61B5/0205A61B5/0215G06F19/00
    • A61B5/721A61B5/0205A61B5/02108A61B5/0816G06F19/3406A61B5/0402A61B5/14551G06F19/322
    • A vital signs monitor includes an ECG sensor, an oximetric finger probe, a respiration impedance sensor, a respiration strain gauge, and a blood pressure cuff with a pressure sensor. Signals generated by these sensors are processed by a microcomputer which is programmed to cross-reference data from multiple channels in order to improve accuracy. The microcomputer is programmed to select the more regular pulses from the ECG sensor and the finger probe to arrive at a better measure of heart rate. In addition, the microcomputer is programmed to use the strain gauge signal to remove artifacts from the signal generated by the impedance sensor. In this way a more artifact-free measure of respiration rate is obtained. Blood pressure is measured by using timing information derived from pulses sensed by the oximetric finger probe in combination with signals generated by the blood pressure cuff pressure sensor to determine systolic and diastolic pressures of the subject. A calibrated blood pressure waveform is generated automatically from the oximetric finger probe and the blood pressure cuff.
    • 生命体征监测器包括ECG传感器,血氧指数探针,呼吸阻抗传感器,呼吸应变计和具有压力传感器的血压袖带。 由这些传感器生成的信号由微型计算机处理,微型计算机被编程为从多个通道交叉参考数据,以提高精度。 微型计算机被编程为从ECG传感器和手指探针中选择更规则的脉冲以获得更好的心率测量。 此外,微型计算机被编程为使用应变计信号从阻抗传感器产生的信号中去除伪影。 以这种方式,获得了更无伪影的呼吸速率测量。 通过使用由血压指形探针感测的脉冲导出的定时信息与由血压袖带压力传感器产生的信号结合起来确定受试者的收缩压和舒张压来测量血压。 血氧饱和度测量仪和血压袖带自动产生校准血压波形。