会员体验
专利管家(专利管理)
工作空间(专利管理)
风险监控(情报监控)
数据分析(专利分析)
侵权分析(诉讼无效)
联系我们
交流群
官方交流:
QQ群: 891211   
微信请扫码    >>>
现在联系顾问~
热词
    • 111. 发明授权
    • QT-based system and method for detecting and distinguishing dilated cardiomyopathy and heart failure using an implantable medical device
    • 基于QT的系统和方法,用于使用可植入医疗装置检测和区分扩张型心肌病和心力衰竭
    • US07672716B1
    • 2010-03-02
    • US11397066
    • 2006-04-03
    • Steve Koh
    • Steve Koh
    • A61B5/0452
    • A61B5/0452A61B5/02405A61B5/7275A61N1/3627
    • Techniques are provided for detecting dilated cardiomyopathy within a patient using a pacemaker or other implantable medical device. Briefly, values representative of QT duration and QT dispersion are detected within the patient and then the risk of dilated cardiomyopathy is evaluated based on the values of QT duration and QT dispersion. In one particular example, the implanted device calculates an index representative of the extent to which individual QT duration and QT dispersion values deviate from a daily mean. The device then compares the index against a threshold indicative of a substantial likelihood of the presence of dilated cardiomyopathy within the patient. Additional techniques described herein relate to distinguishing dilated cardiomyopathy from heart failure within patients that may have one or both conditions.
    • 提供了使用起搏器或其他可植入医疗装置来检测患者内的扩张型心肌病的技术。 简而言之,在患者体内检测到代表QT持续时间和QT分散的值,然后根据QT持续时间和QT色散的值评估扩张型心肌病的风险。 在一个特定示例中,植入装置计算表示各个QT持续时间和QT色散值偏离每日平均值的程度的指标。 然后,该装置将该指数与指示患者内存在扩张型心肌病的实质可能性的阈值进行比较。 本文所述的附加技术涉及在可能具有一种或两种病症的患者内区分扩张型心肌病与心力衰竭。
    • 114. 发明授权
    • Detecting and quantifying apnea using ventilatory cycle histograms
    • 使用通气循环直方图检测和量化呼吸暂停
    • US07413549B1
    • 2008-08-19
    • US10803449
    • 2004-03-17
    • Steve Koh
    • Steve Koh
    • A61B5/08
    • A61B5/0809A61B5/4818A61N1/3601A61N1/3627A61N1/36521A61N1/3962
    • Subject matter includes methods and devices for detecting and quantifying apnea. One exemplary implementation includes deriving a ventilation related parameter in real-time from a patient, deriving apneic intervals based on the parameter, distributing the apneic intervals as counts on a histogram, and calculating a single data point, such as a centroid, for clustered counts on the histogram. Centroids can be calculated at regular intervals and stored for lengthy periods, such as months, because they occupy very little storage space. A position of a centroid on the histogram can indicate an aspect of the patient's health and changes in the centroid positions over time can be used to detect trend changes in the patient's condition.
    • 主题包括检测和量化呼吸暂停的方法和装置。 一个示例性实现包括从患者实时导出通气相关参数,基于参数导出呼吸暂停间隔,将呼吸暂停间隔分配为直方图上的计数,以及计算单个数据点,例如质心,用于聚集计数 在直方图上。 可以定期计算质心,并存储长时间,如月份,因为它们占用的存储空间非常小。 直方图上的质心的位置可以指示患者健康的一个方面,并且随着时间的推移,质心位置的变化可用于检测患者状况中的趋势变化。
    • 118. 发明授权
    • System and method for detecting circadian states using an implantable medical device
    • 使用可植入医疗装置检测昼夜节律状态的系统和方法
    • US07207947B2
    • 2007-04-24
    • US10339989
    • 2003-01-10
    • Steve KohEuljoon Park
    • Steve KohEuljoon Park
    • A61B5/08
    • A61N1/36557A61N1/36521A61N1/36542
    • Techniques are provided for detecting the circadian state of a patient using an implantable medical device based on selected blood carbon dioxide (CO2) parameters. In one example, the implantable device tracks changes in end tidal CO2 (etCO2) levels and changes in maximum variations of pCO2 levels per breathing cycle (ΔcycleCO2) over the course of the day and determines the circadian state based thereon. It has been found that average etCO2 levels are generally highest and average ΔcycleCO2 levels are generally lowest while a patient is asleep and opposite while a patient is awake. Hence, by tracking changes in average etCO2 and ΔcycleCO2 levels over the course of the day, circadian states can be detected. Minute ventilation and activity levels are used to assist in the determination of the circadian state. Additional techniques are directed to detecting the stage of sleep.
    • 提供了用于基于所选择的血液二氧化碳(CO 2 2)参数来检测使用可植入医疗装置的患者的昼夜节律状态的技术。 在一个示例中,可植入装置跟踪最终潮汐CO 2 2(etCO 2 2)水平的变化和每个pCO 2 2水平的最大变化的变化 在一天的过程中呼吸循环(增量循环),并且基于此确定昼夜节律状态。 已经发现平均水平通常是最高的,并且平均水平通常最低,而患者睡着并且相反 而病人清醒。 因此,通过在一天中跟踪平均etCO 2和ΔT2水平的变化,可以检测昼夜节律。 分钟通气和活动水平用于帮助确定昼夜节律状态。 另外的技术涉及检测睡眠阶段。