SEIZURE DISORDER EVALUATION BASED ON INTRACRANIAL PRESSURE AND PATIENT MOTION
    21.
    发明申请
    SEIZURE DISORDER EVALUATION BASED ON INTRACRANIAL PRESSURE AND PATIENT MOTION 审中-公开
    基于内分泌压力和患者运动的癫痫病症评估

    公开(公告)号:US20100121214A1

    公开(公告)日:2010-05-13

    申请号:US12359055

    申请日:2009-01-23

    摘要: Intracranial pressure of a patient may be monitored in order to evaluate a seizure disorder. In some examples, trends in the intracranial pressure over time may be monitored, e.g., to detect changes to the patient's condition. In addition, in some examples, a seizure metric may be generated for a detected seizure based on sensed intracranial pressures. The seizure metric may indicate, for example, an average, median, or highest relative intracranial pressure value observed during a seizure, a percent change from a baseline value during the seizure, or the time for the intracranial pressure to return to a baseline state after the occurrence of a seizure. In addition to or instead of intracranial pressure, patient motion or posture may be monitored in order to assess the patient's seizure disorder. For example, a seizure type or severity may be determined based on patient motion sensed during a seizure.

    摘要翻译: 可以监测患者的颅内压,以评估癫痫发作障碍。 在一些示例中,可以监测颅内压力随时间的趋势,例如以检测患者状况的变化。 此外,在一些示例中,可以基于感测的颅内压力产生针对检测到的发作的发作量度。 癫痫发作度数可以表示例如在癫痫发作期间观察到的平均值,中位数或最高相对颅内压值,在癫痫发作期间从基线值变化的百分比,或颅内压力回到基线状态的时间 发生癫痫发作。 除了或代替颅内压之外,可以监测患者的运动或姿势以评估患者的癫痫发作障碍。 例如,可以基于在癫痫发作期间感测到的患者运动来确定癫痫发作类型或严重程度。

    POSTURE STATE DETECTION USING SELECTABLE SYSTEM CONTROL PARAMETERS
    22.
    发明申请
    POSTURE STATE DETECTION USING SELECTABLE SYSTEM CONTROL PARAMETERS 有权
    使用可选择的系统控制参数进行姿态检测

    公开(公告)号:US20100010384A1

    公开(公告)日:2010-01-14

    申请号:US12433029

    申请日:2009-04-30

    IPC分类号: A61B5/103

    摘要: Techniques for detecting and classifying a posture state of a patient are disclosed, wherein a posture state includes at least one of a posture and/or an activity state related to motion. In one embodiment, one or more signals indicative of at least one of posture and activity state of the patient may be sensed by a sensor. Control logic may be provided to process the one or more sensed signals in a selectable manner. This selectable manner may be based on current posture state data describing a posture state in which the patient has previously been classified. Alternatively or additionally, this current posture state data may describe a posture state transition previously undergone by the patient. The one or more signals that are so processed may then be used to classify a posture state of the patient.

    摘要翻译: 公开了用于检测和分类患者的姿势状态的技术,其中姿势状态包括与运动相关的姿势和/或活动状态中的至少一个。 在一个实施例中,可以由传感器感测指示患者的姿势和活动状态中的至少一个的一个或多个信号。 可以提供控制逻辑以以可选择的方式处理一个或多个感测信号。 该可选择方式可以基于描述患者以前被分类的姿势状态的当前姿势状态数据。 或者或另外,该当前姿势状态数据可以描述先前由患者进行的姿势状态转换。 然后可以将如此处理的一个或多个信号用于对患者的姿势状态进行分类。

    Posture state detection using selectable system control parameters
    23.
    发明授权
    Posture state detection using selectable system control parameters 有权
    姿态检测采用可选择的系统控制参数

    公开(公告)号:US08688225B2

    公开(公告)日:2014-04-01

    申请号:US12433029

    申请日:2009-04-30

    IPC分类号: A61N1/00

    摘要: Techniques for detecting and classifying a posture state of a patient are disclosed, wherein a posture state includes at least one of a posture and/or an activity state related to motion. In one embodiment, one or more signals indicative of at least one of posture and activity state of the patient may be sensed by a sensor. Control logic may be provided to process the one or more sensed signals in a selectable manner. This selectable manner may be based on current posture state data describing a posture state in which the patient has previously been classified. Alternatively or additionally, this current posture state data may describe a posture state transition previously undergone by the patient. The one or more signals that are so processed may then be used to classify a posture state of the patient.

    摘要翻译: 公开了用于检测和分类患者的姿势状态的技术,其中姿势状态包括与运动相关的姿势和/或活动状态中的至少一个。 在一个实施例中,可以由传感器感测指示患者的姿势和活动状态中的至少一个的一个或多个信号。 可以提供控制逻辑以以可选择的方式处理一个或多个感测信号。 该可选择方式可以基于描述患者以前被分类的姿势状态的当前姿势状态数据。 或者或另外,该当前姿势状态数据可以描述先前由患者进行的姿势状态转换。 然后可以将如此处理的一个或多个信号用于对患者的姿势状态进行分类。