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    METHOD AND SYSTEM FOR ANALYTE DATA TRANSMISSION AND REPORT GENERATION
    1.
    发明申请
    METHOD AND SYSTEM FOR ANALYTE DATA TRANSMISSION AND REPORT GENERATION 审中-公开
    分析数据传输和报告生成的方法和系统

    公开(公告)号：US20110119080A1

    公开(公告)日：2011-05-19

    申请号：US12950945

    申请日：2010-11-19

    申请人： Gary A. Hayter ,  John Mazza ,  Jai Karan ,  Saeed Nekoomaram

    发明人： Gary A. Hayter ,  John Mazza ,  Jai Karan ,  Saeed Nekoomaram

    IPC分类号： G06Q50/00 ,  G06Q10/00

    CPC分类号： A61M5/1723 ,  A61B5/0022 ,  A61B5/14532 ,  A61B5/14546 ,  A61B2560/0456 ,  A61B2562/0295 ,  A61M5/142 ,  A61M2205/3303 ,  A61M2205/3553 ,  A61M2230/201 ,  A61M2230/205 ,  G06F19/325 ,  G06F19/3418 ,  G06F19/3468 ,  G06Q50/22 ,  G16H15/00

    摘要： Medical data provided by a physiological parameter sensor is stored on a patient's hand held device used for management of the patient's medical condition. The hand held device is programmed to upload the stored medical data in batch to a remote server at a time during which connection and data transfer services are less expensive. In another aspect, a docking station is used for interacting with the hand held device and uploading the data in batch. In another aspect, the hand held device is programmed to select and organize stored medical data into one of a plurality of report formats, apply a selected printer driver to the report, and output the processed medical data to an appropriate printer for printing a hard copy report for review by a health care provider at a patient's examination. In other aspects, a cradle or removable memory device are used for the purpose.

    摘要翻译： 由生理参数传感器提供的医疗数据存储在用于管理患者的医疗状况的患者的手持装置上。 手持设备被编程为在连接和数据传输服务较便宜的时间将批量存储的医疗数据上传到远程服务器。 在另一方面，对接站用于与手持设备交互并批量上传数据。 在另一方面，手持设备被编程为将存储的医疗数据选择并组织成多种报告格式之一，将所选择的打印机驱动程序应用于报告，并将处理的医疗数据输出到适当的打印机以打印硬拷贝 报告由医护人员进行病人检查。 在其他方面，为了这个目的使用支架或可移动存储装置。

    Methods for generating hybrid analyte level output, and devices and systems related thereto
    6.
    发明授权
    Methods for generating hybrid analyte level output, and devices and systems related thereto 有权
    用于产生混合分析物水平输出的方法，以及与其相关的装置和系统

    公开(公告)号：US09289164B2

    公开(公告)日：2016-03-22

    申请号：US13538406

    申请日：2012-06-29

    申请人： Gary A. Hayter

    发明人： Gary A. Hayter

    IPC分类号： A61B5/00 ,  A61B5/145 ,  A61B5/1495

    CPC分类号： A61B5/1495 ,  A61B5/14532

    摘要： Generally, methods, devices, and systems for generating a hybrid analyte level output are provided. The uncompensated analyte levels lag in time with respect to the lag-compensated analyte levels, and the hybrid analyte level output tracks between the uncompensated analyte levels and the lag-compensated analyte levels according to predetermined criteria.

    摘要翻译： 通常，提供了用于产生混合分析物水平输出的方法，装置和系统。 未补偿的分析物水平相对于滞后补偿的分析物水平在时间上延迟，并且根据预定标准，未补偿的分析物水平和滞后补偿的分析物水平之间的混合分析物水平输出轨迹。

    Data Synchronization Between Two or More Analyte Detecting Devices in a Database
    8.
    发明申请
    Data Synchronization Between Two or More Analyte Detecting Devices in a Database 有权
    数据库中两个或更多分析物检测设备之间的数据同步

    公开(公告)号：US20140067421A1

    公开(公告)日：2014-03-06

    申请号：US13984809

    申请日：2011-12-21

    申请人： Daniel M. Bernstein ,  Gary A. Hayter ,  Timothy C. Dunn ,  Mani Gopal ,  Eric Davis ,  Brittany K. Bradrick ,  Todd Winkler

    发明人： Daniel M. Bernstein ,  Gary A. Hayter ,  Timothy C. Dunn ,  Mani Gopal ,  Eric Davis ,  Brittany K. Bradrick ,  Todd Winkler

    IPC分类号： G06F19/00

    CPC分类号： G06F19/322 ,  A61B5/0022 ,  A61B5/021 ,  A61B5/1172 ,  A61B5/14532 ,  A61B5/1473 ,  A61B5/4839 ,  A61M5/142 ,  A61M5/172 ,  G06F19/00 ,  G16H10/60 ,  G16H40/63

    摘要： An analyte measurement system includes one or more handheld analyte meters and/or measurement devices and a means for collecting data, preserving data integrity, and uniquely identifying patient data received from multiple sources. For example, provided herein is a means to uniquely identify patients and their data when the data is collected from one or more measurement devices. By providing a way to allow the patients to use multiple sources to collect data, the system described herein provides patients with more flexibility, which should encourage better compliance to protocols. Further, by having a way to uniquely identify patients' data without requiring a patient to only use one analyte meter, for example, data can be centralized and analysis can be done with more assurance that all of the patient's data is being considered in the analyses.

    摘要翻译： 分析物测量系统包括一个或多个手持式分析物仪表和/或测量装置，以及用于收集数据，保持数据完整性以及唯一地识别从多个源接收的患者数据的装置。 例如，本文提供的是当从一个或多个测量设备收集数据时唯一地识别患者及其数据的手段。 通过提供允许患者使用多个来源来收集数据的方法，本文描述的系统为患者提供了更多的灵活性，这应当鼓励更好地符合协议。 此外，通过具有唯一地识别患者数据而不需要患者仅使用一个分析物计量器的方法，例如，数据可以被集中，并且可以进一步确保在分析中考虑所有患者的数据的分析 。

    METHOD OF OVERNIGHT CLOSED-LOOP INSULIN DELIVERY WITH MODEL PREDICTIVE CONTROL AND GLUCOSE MEASUREMENT ERROR MODEL
    10.
    发明申请
    METHOD OF OVERNIGHT CLOSED-LOOP INSULIN DELIVERY WITH MODEL PREDICTIVE CONTROL AND GLUCOSE MEASUREMENT ERROR MODEL 有权
    用模型预测控制和葡萄糖测量误差模型的闭合闭合胰岛素分娩方法

    公开(公告)号：US20120010600A1

    公开(公告)日：2012-01-12

    申请号：US13240855

    申请日：2011-09-22

    申请人： Malgorzata E. Wilinska ,  Erwin S. Budiman ,  Gary A. Hayter ,  Marc B. Taub ,  Roman Hovorka

    发明人： Malgorzata E. Wilinska ,  Erwin S. Budiman ,  Gary A. Hayter ,  Marc B. Taub ,  Roman Hovorka

    IPC分类号： A61M5/00

    CPC分类号： A61M5/1723 ,  A61B5/14532 ,  A61B5/1495 ,  A61M5/142 ,  A61M2005/14208 ,  A61M2005/14292 ,  A61M2005/14296 ,  A61M2205/50 ,  A61M2205/52 ,  A61M2205/70 ,  A61M2230/201 ,  G06F19/00 ,  G06F19/3468

    摘要： A closed-loop method for insulin infusion overnight uses a model predictive control algorithm (“MPC”). Used with the MPC is a glucose measurement error model which was derived from actual glucose sensor error data. That sensor error data included both a sensor artifacts component, including dropouts, and a persistent error component, including calibration error, all of which was obtained experimentally from living subjects. The MPC algorithm advised on insulin infusion every fifteen minutes. Sensor glucose input to the MPC was obtained by combining model-calculated, noise-free interstitial glucose with experimentally-derived transient and persistent sensor artifacts associated with the FreeStyle Navigator® Continuous Glucose Monitor System (“FSN”). The incidence of severe and significant hypoglycemia reduced 2300- and 200-fold, respectively, during simulated overnight closed-loop control with the MPC algorithm using the glucose measurement error model suggesting that the continuous glucose monitoring technologies facilitate safe closed-loop insulin delivery.

    摘要翻译： 胰岛素输注过夜的闭环方法使用模型预测控制算法（“MPC”）。 与MPC一起使用的是葡萄糖测量误差模型，该误差模型来自实际的葡萄糖传感器误差数据。 该传感器误差数据包括传感器伪像分量，包括丢失，以及包括校准误差在内的持续误差分量，所有这些均由实验受试者实验获得。 MPC算法建议胰岛素输注每十五分钟。 通过将模型计算的无噪声间质葡萄糖与与FreeStyleNavigator®连续葡萄糖监测系统（“FSN”）相关的实验衍生的瞬时和持续传感器伪像组合，可以获得传感器葡萄糖输入到MPC。 在使用葡萄糖测量误差模型的MPC算法模拟过夜闭环控制期间，严重和显着低血糖的发生率分别降低了2300和200倍，表明连续葡萄糖监测技术有助于安全闭环胰岛素输送。