公开(公告)号：US20110184267A1

公开(公告)日：2011-07-28

申请号：US12693701

申请日：2010-01-26

申请人： David L. Duke ,  Abhishek S. Soni ,  Stefan Weinert

发明人： David L. Duke ,  Abhishek S. Soni ,  Stefan Weinert

IPC分类号： A61B5/145

CPC分类号： A61B5/14532 ,  A61B5/7221 ,  A61B5/725

摘要： Methods and systems are disclosed for estimating a glucose level of a person having diabetes comprises. One method may comprise: receiving into a computing device a plurality of measured glucose results from a glucose sensor coupled to the person; using the computing device to analyze the plurality of measured glucose results with a probability analysis tool configured to determine a probability of glucose sensor accuracy based on the plurality of measured glucose results; and using the computing device to estimate a glucose level of the person with a recursive filter configured to estimate the glucose level based on the plurality of measured glucose results weighted with the probability of glucose sensor accuracy.

摘要翻译： 公开了用于估计糖尿病患者的葡萄糖水平的方法和系统。 一种方法可以包括：从计算设备接收来自耦合到人的葡萄糖传感器的多个测量的葡萄糖结果; 使用所述计算装置利用被配置为基于所述多个测量的葡萄糖结果来确定葡萄糖传感器精度的概率的概率分析工具来分析所述多个测量的葡萄糖结果; 以及使用所述计算设备来估计具有递归滤波器的人的葡萄糖水平，所述递归滤波器被配置为基于以葡萄糖传感器精度的概率加权的多个测量的葡萄糖结果来估计葡萄糖水平。

公开(公告)号：US10456036B2

公开(公告)日：2019-10-29

申请号：US12818930

申请日：2010-06-18

申请人： Daniel Wong ,  David Hasker ,  Glenn Brassington ,  Stefan Weinert ,  Abhishek S. Soni ,  Alan Greenburg ,  Paul J. Galley ,  Ulrich Porsch ,  Robert E. Reinke ,  Marco De Polo

发明人： Daniel Wong ,  David Hasker ,  Glenn Brassington ,  Stefan Weinert ,  Abhishek S. Soni ,  Alan Greenburg ,  Paul J. Galley ,  Ulrich Porsch ,  Robert E. Reinke ,  Marco De Polo

IPC分类号： A61B5/00 ,  A61B5/145 ,  G06F19/00 ,  G06Q10/10 ,  G06Q50/22 ,  G16H10/20 ,  G16H40/63 ,  G16H50/20 ,  A61B5/021 ,  A61B5/024

摘要： Embodiments related to a self-administered, behavior modification program facilitated through a structured tailoring method and system thereof which accelerates and enhances the internalization process of the individual, and which provides help when the individual begins to fail in adhering or continuing with the behavior modification are disclosed. Program instructions that when executed by a processor causes a processor to initiate automatically a schedule of events of a structured tailoring procedure upon entry criteria being met at some unknown time, provide intervention according to the intervention preferences when the adherence criteria for one of the events has not been met, and end automatically the structured collection procedure upon exit criteria being met at some unknown time.

公开(公告)号：US20100218132A1

公开(公告)日：2010-08-26

申请号：US12643415

申请日：2009-12-21

申请人： Abhishek S. Soni ,  Stefan Weinert ,  Juergen Rasch-Menges ,  P. Douglas Walling

发明人： Abhishek S. Soni ,  Stefan Weinert ,  Juergen Rasch-Menges ,  P. Douglas Walling

IPC分类号： G06F9/46 ,  G06F17/30 ,  G06F15/16 ,  G06F3/048

CPC分类号： G06F17/30289 ,  G01N33/49 ,  G01N33/66 ,  G06F19/00 ,  G06F19/3418 ,  G16H10/20 ,  G16H40/63

摘要： Embodiments related to a system and method managing the implementation, execution, data collection, and data analysis of a structured collection procedure running on a portable, hand-held collection device are disclosed. The collection device performing the structured collection procedure has program instructions that when executed by a processor causes the processor to initiate automatically a schedule of events of the structured collection procedure upon one or more entry criterions being met at some unknown time, store in memory patient data collected in accordance to the schedule of events, end automatically the structured collection procedure upon one or more exit criterions being met at some unknown time, and mark/indicate the structured collection procedure as completed if no exception occurred during performance of an event in the schedule of events.

摘要翻译： 公开了与在便携式手持式收集装置上运行的结构化收集过程的实现，执行，数据收集和数据分析的系统和方法相关的实施例。 执行结构化收集过程的收集装置具有当处理器执行时使处理器在某个未知时间满足一个或多个输入标准时自动启动结构化收集过程的事件调度的程序指令，存储在存储器患者数据中 根据事件进度收集，根据一些未知时间满足的一个或多个退出标准自动结束结算收集程序，并且如果在表格中的事件执行期间没有发生异常，则将结构化收集过程标记/指示为已完成 的事件。

公开(公告)号：US20120011125A1

公开(公告)日：2012-01-12

申请号：US12974859

申请日：2010-12-21

申请人： Steven Bousamra ,  Abhishek S. Soni

发明人： Steven Bousamra ,  Abhishek S. Soni

IPC分类号： G06F17/30

CPC分类号： G06F16/20 ,  A61B5/0002 ,  A61B5/14532 ,  A61B5/4833 ,  A61B5/4839 ,  A61B5/7264 ,  G06F19/325 ,  G06F19/3418 ,  G06F19/3456 ,  G16H20/10 ,  G16H40/20 ,  G16H40/63 ,  G16H50/20

摘要： Method embodiments for performing a structured collection protocol by utilizing a collection device comprise collecting one or more sampling sets of biomarker data, wherein each sampling set comprises a sufficient plurality of sampling instances recorded over a collection period. The methods further include determining compliance with adherence criteria for the sampling instances, wherein noncompliance with adherence criteria is recorded as an adherence event, classifying sampling instances as primary samples or secondary samples, wherein primary samples, which do not have corresponding recorded adherence events, are sampling instances utilized in the calculations performed by the processor that yield therapy results for a diabetic person, and secondary samples are sampling instances not utilized in the calculations, unless one or more secondary samples are promoted to primary samples, and performing at least one additional task if one or more sampling instances is a primary sample with a corresponding recorded adherence event.

摘要翻译： 通过利用收集装置来执行结构化收集协议的方法实施例包括收集生物标志物数据的一个或多个采样组，其中每个采样组包括在采集周期上记录的足够多个采样实例。 所述方法还包括确定对采样实例的依从性标准的遵从性，其中不遵守依从标准被记录为依从性事件，将采样实例分类为主要样本或次要样本，其中不具有对应记录依从性事件的主要样本是 用于由处理器执行的计算，用于产生糖尿病人的治疗结果的采样实例，以及次级样本是计算中未使用的采样实例，除非将一个或多个次要样本提升为主要样本，并执行至少一个附加任务 如果一个或多个采样实例是具有相应的记录遵守事件的主要样本。

公开(公告)号：US08774889B2

公开(公告)日：2014-07-08

申请号：US12975654

申请日：2010-12-22

申请人： David Duke ,  Abhishek S. Soni

发明人： David Duke ,  Abhishek S. Soni

IPC分类号： A61B5/05

CPC分类号： A61B5/14532 ,  A61B5/7232 ,  A61B5/7253 ,  G06F19/00 ,  G06F19/3468 ,  G16H50/20

摘要： A patient monitoring system with an efficient pattern matching algorithm, a method, and a computer product thereof are disclosed. The system may include a physiological data input device or sensor which receives a plurality of physiological measurements within a time window thereby generating at least one time window data set, a memory which stores a program, and a processor. The program when executed by the processor, causes the processor to compress the at least one time window data set to a reduced-rank basis, and perform a pattern match between a reference pattern and the compressed at least one time window data set using a distance metric.

摘要翻译： 公开了一种具有有效模式匹配算法的患者监视系统，方法及其计算机产品。 系统可以包括在时间窗口内接收多个生理测量的生理数据输入设备或传感器，从而生成至少一个时间窗口数据集，存储程序的存储器和处理器。 程序在由处理器执行时，使得处理器将至少一个时间窗口数据集合压缩到降级，并且使用距离来执行参考图案和压缩的至少一个时间窗口数据集之间的模式匹配 度量。

公开(公告)号：US20120165638A1

公开(公告)日：2012-06-28

申请号：US12975654

申请日：2010-12-22

申请人： David Duke ,  Abhishek S. Soni

发明人： David Duke ,  Abhishek S. Soni

IPC分类号： A61B5/145

CPC分类号： A61B5/14532 ,  A61B5/7232 ,  A61B5/7253 ,  G06F19/00 ,  G06F19/3468 ,  G16H50/20

摘要： A patient monitoring system with an efficient pattern matching algorithm, a method, and a computer product thereof are disclosed. The system may include a physiological data input device or sensor which receives a plurality of physiological measurements within a time window thereby generating at least one time window data set, a memory which stores a program, and a processor. The program when executed by the processor, causes the processor to compress the at least one time window data set to a reduced-rank basis, and perform a pattern match between a reference pattern and the compressed at least one time window data set using a distance metric.

摘要翻译： 公开了一种具有有效模式匹配算法的患者监视系统，方法及其计算机产品。 系统可以包括在时间窗口内接收多个生理测量的生理数据输入设备或传感器，从而生成至少一个时间窗口数据集，存储程序的存储器和处理器。 程序在由处理器执行时，使得处理器将至少一个时间窗口数据集合压缩到降级，并且使用距离来执行参考图案和压缩的至少一个时间窗口数据集之间的模式匹配 度量。