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    • 6. 发明授权
    • Controlling therapy based on sleep quality
    • 基于睡眠质量控制治疗
    • US07881798B2
    • 2011-02-01
    • US11691430
    • 2007-03-26
    • Keith A. MieselKenneth T. HeruthJonathan C. WerderSteve R. LaPorteNina M. Graves
    • Keith A. MieselKenneth T. HeruthJonathan C. WerderSteve R. LaPorteNina M. Graves
    • A61N1/18
    • A61N1/36082
    • A medical device, such as an implantable medical device (IMD), determines values for one or more metrics that indicate the quality of a patient's sleep, and controls delivery of a therapy based on the sleep quality metric values. For example, the medical device may compare a sleep quality metric value with one or more threshold values, and adjust the therapy based on the comparison. In some embodiments, the medical device adjusts the intensity of therapy based on the comparison, e.g., increases the therapy intensity when the comparison indicates that the patient's sleep quality is poor. In some embodiments, the medical device automatically selects one of a plurality of therapy parameter set available for use in delivering therapy based on a comparison sleep quality metric values associated with respective therapy parameter sets within the plurality of available therapy parameter sets.
    • 诸如可植入医疗装置(IMD)的医疗设备确定指示患者睡眠质量的一个或多个指标的值,并且基于睡眠质量量度值控制治疗的递送。 例如,医疗设备可以将睡眠质量度量值与一个或多个阈值进行比较,并且基于比较来调整治疗。 在一些实施例中,医疗装置基于比较来调整治疗的强度,例如当比较表明患者的睡眠质量差时,增加治疗强度。 在一些实施例中,医疗设备基于与多个可用治疗参数组内的各个治疗参数组相关联的比较睡眠质量量度值,自动选择可用于递送治疗的多个治疗参数集中的一个。
    • 10. 发明授权
    • Target tracking system for determining bearing of a target
    • 用于确定目标的方位的目标跟踪系统
    • US5095467A
    • 1992-03-10
    • US582571
    • 1990-09-14
    • David P. OlsonJonathan C. Werder
    • David P. OlsonJonathan C. Werder
    • G01S3/801G01S3/805
    • G01S3/805G01S3/801
    • A passive acoustic target tracking system includes three microphones arrayed respectively at corners of an equilateral triangle for sensing acoustic energy emitted by a target, such as a heavy vehicle, and generating separate streams of analog signals representative of the acoustic energy sensed at the triangle corners. Hardware of the tracking system receives the separate streams of analog signals from the microphones and conditions and converts the separate streams of analog signals from analog to digital form and outputs the separate streams as digital signals. Software of the tracking system receives the separate streams of digital signals and provides the bearing to the target emitting the sensed acoustic energy. The software includes a minimum residual correlation algorithm and a two-state kalman filter algorithm. The minimum residual correlation algorithm receives the separate streams of digital signals, performs correlations on the separate streams from pairs of the microphones, and produces a raw azimuth signal as a result of the correlation. The two-state kalman filter algorithm receives the raw azimuth signal, performs a two-state kalman filtering of the raw azimuth signal, and produces a smooth azimuth signal constituting the bearing to the target emitting the sensed acoustic energy.
    • 无源声目标跟踪系统包括分别排列在等边三角形的拐角处的三个麦克风,用于感测由诸如重型车辆的目标发出的声能,并且产生代表在三角形拐角处感测到的声能的单独的模拟信号流。 跟踪系统的硬件从麦克风接收单独的模拟信号流和条件,并将单独的模拟信号流从模拟形式转换为数字形式,并将单独的流作为数字信号输出。 跟踪系统的软件接收单独的数字信号流,并向发射感测声能的目标提供支撑。 该软件包括最小残差相关算法和双状态卡尔曼滤波算法。 最小残差相关算法接收单独的数字信号流,在与麦克风对成对的单独流上执行相关性,并产生作为相关结果的原始方位信号。 双状态卡尔曼滤波算法接收原始方位信号,对原始方位信号进行双状态卡尔曼滤波,并产生构成对发射感测声能的目标的方位角的平滑方位信号。