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    • 81. 发明申请
    • VELOCITY DETECTION FOR POSTURE-RESPONSIVE THERAPY
    • 快速感应治疗的速度检测
    • US20130274830A1
    • 2013-10-17
    • US13445506
    • 2012-04-12
    • Dennis M. Skelton
    • Dennis M. Skelton
    • A61N1/36
    • A61N1/36128A61N1/3605
    • The disclosure describes techniques for modifying an electrical stimulation or another type of therapy provided to a patient by a medical device. The therapy modification may be based on a posture and/or activity state of a patient that is detected by an IMD, such as a change in a detected posture state occupied by the patient. Different therapy modifications may be applied for different changes in detected posture state. An IMD may modify therapy based on a transition from one posture state to another posture state. The IMD may determine a posture state of the patient for use in controlling therapy adjustments and/or other aspects of the system. In some examples, when the patient's movement and/or activity velocity exceeds a velocity threshold, a previously-determined stable posture state of the patient may be used to control therapy rather than a current posture state of the patient, which may be transient.
    • 本公开描述了用于修改由医疗装置提供给患者的电刺激或另一类型治疗的技术。 治疗修改可以基于由IMD检测到的患者的姿势和/或活动状态,例如患者所占据的检测到的姿势状态的变化。 可以对检测到的姿势状态的不同变化应用不同的治疗修改。 IMD可以基于从一个姿势状态到另一个姿势状态的转变来修改治疗。 IMD可以确定用于控制治疗调整和/或系统的其他方面的患者的姿势状态。 在一些示例中,当患者的运动和/或活动速度超过速度阈值时,可以使用患者的先前确定的稳定姿势状态来控制治疗而不是患者的当前姿势状态,其可以是暂时的。
    • 83. 发明申请
    • ASSOCIATING THERAPY ADJUSTMENTS WITH PATIENT POSTURE STATES
    • 与患者心理状态相关的治疗调整
    • US20100010432A1
    • 2010-01-14
    • US12433520
    • 2009-04-30
    • Dennis M. Skelton
    • Dennis M. Skelton
    • A61N1/08A61B5/11A61M37/00
    • A61B5/1116A61B5/103A61B5/686A61B2560/0219A61B2562/0219A61N1/36071A61N1/36139A61N1/36535A61N1/37247G06F19/00G06F19/3481G16H40/63
    • A therapy adjustment received from a patient is associated with a sensed patient posture state. Thereafter, a stability indication can be associated with the sensed posture state to indicate that a therapy adjustment specific to the sensed posture state was received and implemented. In addition, therapy parameter values associated with related patient posture states are updated based on the therapy adjustment. In some examples, only the related posture states that are not associated with respective stability indications are updated based on the therapy adjustment. The absence of a stability indication indicates that the patient has not inputted a therapy adjustment specific to the respective related posture state. As a result, the therapy parameter values associated with the related posture states that are not associated with stability indications may float until the patient adjusts the therapy parameter value associated with the respective related posture state.
    • 从患者接收的治疗调节与感测到的患者姿势状态相关联。 此后,稳定性指示可以与感测到的姿势状态相关联,以指示接收并实现对所感测到的姿势状态特有的治疗调节。 此外,基于治疗调整来更新与相关患者姿势状态相关联的治疗参数值。 在一些示例中,仅基于治疗调整更新与相应的稳定性指示不相关的相关姿势状态。 不存在稳定性指示,表示患者没有输入针对各自的相关姿势状态的治疗调整。 结果,与稳定性指示不相关的相关姿势状态相关联的治疗参数值可以浮动,直到患者调整与各个相关姿势状态相关联的治疗参数值。
    • 84. 发明申请
    • POSTURE STATE CLASSIFICATION FOR A MEDICAL DEVICE
    • 医疗器械的状态分类
    • US20100010380A1
    • 2010-01-14
    • US12433004
    • 2009-04-30
    • Eric J. PANKENDennis M. Skelton
    • Eric J. PANKENDennis M. Skelton
    • A61B5/103
    • 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所定义的一个或多个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。
    • 85. 发明授权
    • Detecting posture sensor signal shift or drift in medical devices
    • 检测医疗器械中的姿势传感器信号偏移或漂移
    • US09566441B2
    • 2017-02-14
    • US12771854
    • 2010-04-30
    • Dennis M. Skelton
    • Dennis M. Skelton
    • A61B5/11A61N1/365
    • A61N1/36514A61B2562/0219A61N1/36535
    • In general, the disclosure relates to medical devices and systems for detecting the posture state of patient. For example, a medical system may detect a posture state of a patient and deliver therapy based at least in part on the detected patient posture state. In some examples, the system may comprise a posture sensor that generates posture sensor data when a patient is in a posture state, and a processor that receives the first posture sensor data, compares the first posture state data to reference posture sensor data, and detects the presence of at least one of sensor signal drift or sensor signal shift for the posture sensor based at least in part on the comparison. In some examples, the processor may be configured to determine one or more offset correction values to apply to posture sensor data generated by the posture sensor when the at least one of sensor signal drift or sensor signal shift is determined to be present.
    • 通常,本公开涉及用于检测患者的姿势状态的医疗装置和系统。 例如,医疗系统可以至少部分地基于检测到的患者姿势状态来检测患者的姿势状态并递送治疗。 在一些示例中,系统可以包括姿势传感器,其在患者处于姿势状态时生成姿势传感器数据,并且接收第一姿态传感器数据的处理器将第一姿势状态数据与参考姿势传感器数据进行比较,并且检测 至少部分地基于比较,存在用于姿势传感器的传感器信号漂移或传感器信号移位中的至少一个。 在一些示例中,处理器可以被配置为当传感器信号漂移或传感器信号偏移中的至少一个被确定为存在时,确定一个或多个偏移校正值以应用于由姿态传感器产生的姿势传感器数据。
    • 86. 发明授权
    • Automatic validation techniques for validating operation of medical devices
    • 用于验证医疗设备运行的自动验证技术
    • US08280517B2
    • 2012-10-02
    • US12548227
    • 2009-08-26
    • Dennis M. SkeltonEmmanuel R. DarneJustin KempNicholas S. MairsBrian Sorenson
    • Dennis M. SkeltonEmmanuel R. DarneJustin KempNicholas S. MairsBrian Sorenson
    • A61N1/18
    • A61N1/37264A61N1/3605A61N1/37247
    • Techniques for validating operation of a medical device are disclosed. A data collection phase utilizes a first sensor carried by a patient to record patient parameter values indicative of conditions experienced by the patient (e.g, posture states.) Therapy parameter values describing therapy adjustments requested by the patient in response to the conditions are also recorded. Associations formed between the therapy parameter values and the patient parameter values are used to develop a closed-loop algorithm for control of an IMD having a sensor similar to the first sensor. An automated device such as a robotic arm uses the recorded patient parameter values to automatically reproduce, and to subject the IMD to, conditions present during the data collection phase. Therapy delivered by the IMD while under control of the closed-loop algorithm and while being subjected to the conditions is compared to the recorded therapy parameter values e to validate IMD operation.
    • 公开了用于验证医疗装置的操作的技术。 数据收集阶段利用由患者携带的第一传感器来记录指示病人经历的状况的患者参数值(例如,姿势状态)。还记录描述患者响应于条件所请求的治疗调节的治疗参数值。 在治疗参数值和患者参数值之间形成的关联用于开发用于控制具有类似于第一传感器的传感器的IMD的闭环算法。 诸如机器人手臂之类的自动化装置使用记录的患者参数值来自动再现数据收集阶段并使IMD受理存在的状况。 将IMD在闭环算法的控制下并在受到条件的同时进行的治疗与记录的治疗参数值e进行比较以验证IMD手术。
    • 88. 发明申请
    • AUTOMATIC VALIDATION TECHNIQUES FOR VALIDATING OPERATION OF MEDICAL DEVICES
    • 用于验证医疗器械操作的自动验证技术
    • US20100076525A1
    • 2010-03-25
    • US12548227
    • 2009-08-26
    • Dennis M. SkeltonEmmanuel R. DarneJustin A. KempNicholas S. MairsBrian Sorenson
    • Dennis M. SkeltonEmmanuel R. DarneJustin A. KempNicholas S. MairsBrian Sorenson
    • A61N1/08
    • A61N1/37264A61N1/3605A61N1/37247
    • Techniques for validating operation of a medical device are disclosed. A data collection phase utilizes a first sensor carried by a patient to record patient parameter values indicative of conditions experienced by the patient (e.g, posture states.) Therapy parameter values describing therapy adjustments requested by the patient in response to the conditions are also recorded. Associations formed between the therapy parameter values and the patient parameter values are used to develop a closed-loop algorithm for control of an IMD having a sensor similar to the first sensor. An automated device such as a robotic arm uses the recorded patient parameter values to automatically reproduce, and to subject the IMD to, conditions present during the data collection phase. Therapy delivered by the IMD while under control of the closed-loop algorithm and while being subjected to the conditions is compared to the recorded therapy parameter values e to validate IMD operation.
    • 公开了用于验证医疗装置的操作的技术。 数据收集阶段利用由患者携带的第一传感器来记录指示病人经历的状况的患者参数值(例如,姿势状态)。还记录描述患者响应于条件所请求的治疗调节的治疗参数值。 在治疗参数值和患者参数值之间形成的关联用于开发用于控制具有类似于第一传感器的传感器的IMD的闭环算法。 诸如机器人手臂之类的自动化装置使用记录的患者参数值来自动再现数据收集阶段并使IMD受理存在的状况。 将IMD在闭环算法的控制下并在受到条件的同时进行的治疗与记录的治疗参数值e进行比较以验证IMD手术。