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    • 5. 发明公开
    • Improved printing method and apparatus
    • Verbessertes Druckverfahren und-gerät
    • EP1236580A3
    • 2003-09-10
    • EP02251347.7
    • 2002-02-27
    • GE Medical Systems Information Technologies, Inc.
    • Elko, Paul PeterBrodnick, Donald Eugene
    • B41J3/60
    • B41J3/60
    • An apparatus and method for printing on both sides of a medium (34) by passing the medium (34) through a printing device (30) and printing on oppositely facing portions (66, 70) of the medium (34) during a single pass of the medium (34) through the printing device (30). Preferably, a first print head (50) prints on one portion while a second print head (54) prints on the other portion. The medium (34) is preferably folded so that after the printing is completed and the folded medium (34) is unfolded, the printed information (74) on one portion of the medium (34) correlates with the printed information (74) on the other portion of the medium (34). The printed information (74) is preferably data that has been measured with respect to time, and the printed data (74) on the oppositely facing portions (66, 70) correlate with respect to time. Preferably, the data is medical patient data in the form of textual data (78), physiological waveforms (74), or a combination of both.
    • 一种用于在介质(34)的两侧通过介质(34)通过打印装置(30)打印并在单次传送期间打印介质(34)的相对面对部分(66,70)上的打印装置和方法 介质(34)通过打印装置(30)。 优选地,当第二打印头(54)打印在另一部分上时,第一打印头(50)打印在一个部分上。 介质(34)优选地被折叠,使得在打印完成并且折叠介质(34)展开之后,介质(34)的一部分上的打印信息(74)与打印信息(74)在 介质(34)的其他部分。 打印信息(74)优选地是相对于时间测量的数据,并且相对面对部分(66,70)上的打印数据(74)相对于时间相关。 优选地,数据是以文本数据(78),生理波形(74)或两者的组合的形式的医疗患者数据。
    • 6. 发明公开
    • System and method for selecting physiological data from a plurality of physiological data sources
    • 系统和方法,初始选择来自多个数据源的数据的生理
    • EP1269911A2
    • 2003-01-02
    • EP02254543.8
    • 2002-06-27
    • GE Medical Systems Information Technologies, Inc.
    • Sitzman, David A.Farrell, Robert M.
    • A61B5/0205A61B5/0464
    • A61B5/0205A61B5/0215A61B5/0245A61B5/0464A61B5/1455A61B5/7217
    • A system (10) for selecting physiological data from a plurality of physiological data sources (12, 14) includes first and second physiological data sources (12, 14) and a selection algorithm (20). The first physiological data source (12) is configured to provide first physiological data. The first physiological data includes a first measurement of a physiological trait. The second physiological data source (14) is configured to provide second physiological data. The second physiological data includes a second measurement of the physiological trait. The first and second measurements are based on different physiological characteristics. The selection algorithm (20) is configured to receive the first and second physiological data and to select one of the first and second measurements as the output data for the physiological trait based on at least one of the first physiological data and the second physiological data.
    • 一种用于从生理数据源(12,14)的多个选择生理数据的系统(10)包括第一和第二生理数据源(12,14)和一个选择算法(20)。 所述第一生理数据源(12)被配置为提供第一生理数据。 所述第一生理数据包括生理性状的第一测量。 所述第二生理数据源(14)被配置成提供第二生理数据。 所述第二生理数据包括生理性状的第二测量。 所述第一和第二测量是基于不同的生理特征。 选择算法(20)被配置为接收第一和第二生理数据,并选择所述第一和第二测量值作为基于所述第一生理数据的至少一个和所述第二生理数据的生理性状的输出数据中的一个。
    • 8. 发明公开
    • Atrial fibrillation detection method and apparatus
    • Verfahren und Vorrichtung zur Detektion der Vorhof-Fibrillation
    • EP1219237A2
    • 2002-07-03
    • EP01310727.1
    • 2001-12-20
    • GE Medical Systems Information Technologies, Inc.
    • Bock, Elizabeth Anne
    • A61B5/046
    • A61B5/02405A61B5/046A61B5/7264
    • A method and apparatus (20) to detect irregular heart activity based upon a ventricular activity analysis, P wave activity, similarities in R wave to R wave intervals, and a state evaluation. The invention includes a beat classification module (22) that receives ECG information as an input. The beat classification module determines whether the heart beat being analyzed falls within classifications that are suitable for use in analyzing whether an irregular condition exists. If the beat falls within a class suitable for analysis, the ECG information is fed to an interval calculator (24). The interval calculator determines the interval between successive R waves. The information from the interval calculator is provided to a probability engine (40) and to a contextual analysis module (30). The probability engine is designed to detect atrial fibrillation based upon beat classification and RR interval values from the interval calculator. The probability engine outputs a state variable that indicates a probability of whether an irregular condition is present. The contextual analysis module matches predefined maps to a running map of the current ECG information. The contextual analysis module also determines the similarity between consecutive RR intervals and checks for sequences of matching classes. ECG information is also supplied to a P wave detection module (60) to detect the presence of P waves. Information from the probability analysis engine, the contextual analysis module, and the P wave detection module is then provided to a state evaluation module (50). The state evaluation module uses the outputs of the three modules to determine whether an irregular condition exists.
    • 一种基于心室活动性分析,P波活动,R波至R波间隔的相似性以及状态评估来检测不规则心脏活动的方法和装置(20)。 本发明包括接收ECG信息作为输入的节拍分类模块(22)。 节拍分类模块确定被分析的心跳是否属于适合用于分析是否存在不规则状况的分类。 如果节拍属于适于分析的类别,则将ECG信息馈送到间隔计算器(24)。 间隔计算器确定连续R波之间的间隔。 来自间隔计算器的信息被提供给概率引擎(40)和上下文分析模块(30)。 概率引擎被设计为基于来自间隔计算器的搏动分类和RR间隔值来检测心房颤动。 概率引擎输出指示是否存在不规则条件的概率的状态变量。 上下文分析模块将预定义的映射与当前ECG信息的运行映射进行匹配。 上下文分析模块还确定连续RR间隔之间的相似性并检查匹配类别的序列。 ECG信息也被提供给P波检测模块(60)以检测P波的存在。 然后将来自概率分析引擎,上下文分析模块和P波检测模块的信息提供给状态评估模块(50)。 状态评估模块使用三个模块的输出来确定是否存在不规则状况。
    • 9. 发明公开
    • Mobile clinical information system
    • 手机klinisches信息系统
    • EP1197178A1
    • 2002-04-17
    • EP01308591.5
    • 2001-10-08
    • GE Medical Systems Information Technologies, Inc.
    • Brinsfield, James W.Hutchinson, George M.
    • A61B5/00
    • A61B5/002G06F19/00G06F19/3418G06Q50/24
    • A wireless bi-directional portable patient monitor (56) incorporated into a mobile clinical information management system (44) is disclosed. The portable patient monitor (56) includes a communications interface (92) to receive patient data (48) from a wireless local area network (WLAN) within a medical care facility (39) and transmit care parameters (64) as needed to the wireless network (WLAN) in response. The portable patient monitor (56) includes a processor (70) connected to the communications interface (92) to process (98) the patient data (48) and the care parameters (64). A display (88) is connected to the processor (70) to display the processed patient data to the health care provider (58). The monitor (56) includes an input device (86) connected to the processor (70) to allow a change in the care parameters (64) by the health care provider (58). The portable patient monitor (56) is also configured to allow wireless transport on the health care provider (58) for extended periods. The mobile clinical information management system (41) includes a number of bedside patient monitors to connect to the patients (62) and transmit the patient data (48). The system (41) also includes the wireless network coupled to the bedside patient monitors and the portable patient monitors (56) to improve efficiencies in the delivery of health care in the medical care facility (39).
    • 公开了一种结合到移动临床信息管理系统(44)中的无线双向便携式病人监视器(56)。 便携式病人监视器(56)包括通信接口(92),用于从医疗保健设施(39)内的无线局域网(WLAN)接收患者数据(48),并且根据需要向无线电传送护理参数(64) 网络(WLAN)作为响应。 便携式病人监视器(56)包括连接到通信接口(92)以处理(98)患者数据(48)和护理参数(64)的处理器(70)。 显示器(88)连接到处理器(70)以将处理的患者数据显示给医疗保健提供者(58)。 监视器(56)包括连接到处理器(70)的输入设备(86),以允许卫生保健提供者(58)改变护理参数(64)。 便携式病人监视器(56)还被配置为允许医疗保健提供者(58)上的无线传输延长时间。 移动临床信息管理系统(41)包括多个床边患者监视器,用于连接患者(62)并发送患者数据(48)。 系统(41)还包括耦合到床边病人监护仪和便携式病人监视器(56)的无线网络,以提高在医疗保健设施(39)中提供医疗保健的效率。