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    • 4. 发明申请
    • IMPLANTABLE MEDICAL DEVICE WITH SENSOR SELF-TEST FEATURE
    • 具有传感器自检功能的可植入医疗器械
    • WO2008039242A1
    • 2008-04-03
    • PCT/US2007/009852
    • 2007-04-24
    • MEDTRONIC, INC.PANKEN, Eric, J.MIESEL, Keith, A.LEE, Brian, B.DENISON, Timothy, J.
    • PANKEN, Eric, J.MIESEL, Keith, A.LEE, Brian, B.DENISON, Timothy, J.
    • A61N1/37
    • A61N1/3706A61B2560/0276A61N1/36535A61N1/36542A61N1/3702
    • An implantable medical device (IMD) applies a sensor self-test when a sensing device generates a sensor signal indicating an event, or when the sensor is used to validate an event detected by another device. The event may be based on a sensed condition that triggers an operational adjustment, such as a therapy or diagnostic adjustment within the IMD. A sensor self-test verifies that an implantable sensing device is functional, and can be performed with or without activating the sensor. Activating the sensor may involve, application of an electrical input signal that causes the sensor to generate an output signal. Alternatively, the sensor self-test may be performed without activating the sensor by analyzing the continuity of a signal path between the sensor and sensor interface circuitry. In either case, a sensor self-test verifies proper operation so that operational adjustments can be made with greater confidence.
    • 当感测装置产生指示事件的传感器信号时,或者当传感器用于验证另一个设备检测到的事件时,可植入医疗设备(IMD)应用传感器自检。 事件可以基于触发操作调整的感测条件,例如IMD内的治疗或诊断调整。 传感器自检可以验证可植入的感测装置是否起作用,并且可以在启动或不启动传感器的情况下执行。 激活传感器可能涉及施加导致传感器产生输出信号的电输入信号。 或者,可以通过分析传感器和传感器接口电路之间的信号路径的连续性而不激活传感器来执行传感器自检。 在任一种情况下,传感器自检将验证正确的操作,以便可以更有信心地进行操作调整。
    • 8. 发明申请
    • BLENDED POSTURE STATE CLASSIFICATION AND THERAPY DELIVERY
    • 混合状态分类和治疗交付
    • WO2010005822A2
    • 2010-01-14
    • PCT/US2009/049071
    • 2009-06-29
    • MEDTRONIC, INC.PANKEN, Eric, J.
    • PANKEN, Eric, J.
    • A61N1/365
    • A61N1/36542A61B5/1116A61B5/1118A61B5/686A61B5/7264A61B2562/0219A61N1/36535G06F19/00
    • Techniques for classification of a posture state of a patient using multiple posture state definitions, and for delivering therapy according to the patient's classified posture state. Detected parameter values describing a patient's posture state are compared to posture state definitions. This comparison is used to determine similarity values describing how similar the patient's posture state is to each of the posture states described by the posture state definitions. Weighting factors may be determined from the similarity values and used to weight therapy parameter values that are associated with each of the posture state definitions. The resulting weighted therapy parameter values may be used to derive a blended therapy parameter value for use in delivering therapy to the patient. The patient's posture state may be expressed in terms of a blending of the multiple posture state definitions.
    • 用于使用多个姿势状态定义对患者的姿势状态进行分类的技术,以及根据患者分类的姿势状态进行治疗的技术。 将描述患者姿势状态的检测参数值与姿势状态定义进行比较。 该比较用于确定描述患者姿势状态与由姿势状态定义描述的每个姿势状态相似的相似性值。 加权因子可以根据相似度值确定并用于与每个姿势状态定义相关联的加权治疗参数值。 所得到的加权治疗参数值可用于导出用于向患者递送疗法的混合治疗参数值。 患者的姿势状态可以用多姿势状态定义的混合来表示。
    • 10. 发明申请
    • POSTURE STATE CLASSIFICATION FOR A MEDICAL DEVICE
    • 医疗器械的状态分类
    • WO2010005802A2
    • 2010-01-14
    • PCT/US2009/048686
    • 2009-06-25
    • MEDTRONIC, INC.PANKEN, Eric, J.SKELTON, Dennis, M.
    • PANKEN, Eric, J.SKELTON, Dennis, M.
    • A61B5/103A61N1/365
    • A61N1/36542A61B5/1116A61B5/1118A61B5/686A61B5/7264A61B2562/0219A61N1/36535G06F19/00
    • One embodiment relates to a medical device including a sensor to provide signals indicative of a detected posture state of a patient. A memory stores one or more defined vectors, each defined vector being associated with a tolerance describing a relationship with the defined vector. A processor determines a respective similarity between the detected vector and each of one or more of the defined vectors and classifies a posture state of the patient based on whether any similarity has a relationship to the respective defined vector that is described by the associated tolerance. In one embodiment, the similarity is determined without regard to a coordinate system of the patient. Another embodiment relates to determining the similarity based on at least one of an inner product, a length of the defined posture vector and a length of the detected vector.
    • 一个实施例涉及一种医疗设备,其包括用于提供指示患者的检测到的姿势状态的信号的传感器。 存储器存储一个或多个定义的向量,每个定义的向量与描述与所定义的向量的关系的公差相关联。 处理器确定检测到的矢量与一个或多个定义矢量中的每一个之间的各自的相似度,并且基于任何相似性是否与由相关联的容限描述的相应定义的矢量具有关系来对患者的姿势状态进行分类。 在一个实施例中,不考虑患者的坐标系确定相似度。 另一实施例涉及基于内积,所定义的姿态向量的长度和所检测的向量的长度中的至少一个来确定相似性。