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1. 发明授权

US5562596A Method and apparatus for controlling the flow of a medium 失效
标题翻译：用于控制介质流动的方法和装置
公开(公告)号：US5562596A
公开(公告)日：1996-10-08
申请号：US011409
申请日：1993-01-29
申请人： Steven M. Pincus , Robert A. Neidorff
发明人： Steven M. Pincus , Robert A. Neidorff
IPC分类号： G06F17/00 , G06F19/00 , A61M1/10
CPC分类号： A61B5/04525 , G06F19/3406
摘要： A quantification of approximate entropy is determined on a set of data by comparing subsets of the data. The comparison reveals the regularity and stability of similar patterns amongst subsets of the data. The comparisons perform such that the contribution of noise to measurement of the regularity and stability is minimized. Quantitative values are assigned to measure the degree of regularity and stability. From these quantitative values a single output measure is generated indicative of the amount of patternness of the sequence of data. The calculations required to determine this approximate entropy are preferably performed within a data processing system. Numerous peripheral devices may be attached to such a data processing system. The types of data for which the approximate entropy may be calculated include any sets of data wherein the amount of patternness is sought.
摘要翻译：通过比较数据的子集，对一组数据确定近似熵的量化。比较显示了数据子集中类似模式的规律性和稳定性。比较表明，噪声对规则性和稳定性测量的贡献最小化。指定定量值来衡量规律性和稳定性。从这些定量值中，产生指示数据序列的模式量的单个输出度量。确定该近似熵所需的计算优选地在数据处理系统内执行。许多外围设备可以附接到这样的数据处理系统。可以计算近似熵的数据类型包括寻求图案量的任何数据集合。

2. 发明授权

US5769793A System to determine a relative amount of patternness 失效
标题翻译：系统确定相对数量的图案
公开(公告)号：US5769793A
公开(公告)日：1998-06-23
申请号：US716059
申请日：1996-09-19
申请人： Steven M. Pincus , Robert A. Neidorff
发明人： Steven M. Pincus , Robert A. Neidorff
IPC分类号： G06F17/00 , G06F19/00 , A61B5/0402
CPC分类号： A61B5/0452 , A61B5/04525 , G06F19/3406 , A61B5/0476 , A61B5/0488 , A61B5/7275 , Y10S128/92
摘要： A quantification of approximate entropy is determined on a set of data by comparing subsets of the data. The comparison reveals the regularity and stability of similar patterns amongst subsets of the data. The comparisons perform such that the contribution of noise to measurement of the regularity and stability is minimized. Quantitative values are assigned to measure the degree of regularity and stability. From these quantitative values a single output measure is generated indicative of the amount of patternness of the sequence of data. The calculations required to determine this approximate entropy are preferably performed within a data processing system. Numerous peripheral devices may be attached to such a data processing system. The types of data for which the approximate entropy may be calculated include any sets of data wherein the amount of patternness is sought.
摘要翻译：通过比较数据的子集，对一组数据确定近似熵的量化。比较显示了数据子集中类似模式的规律性和稳定性。比较表明，噪声对规则性和稳定性测量的贡献最小化。指定定量值来衡量规律性和稳定性。从这些定量值中，产生指示数据序列的模式量的单个输出度量。确定该近似熵所需的计算优选地在数据处理系统内执行。许多外围设备可以附接到这样的数据处理系统。可以计算近似熵的数据类型包括寻求图案量的任何数据集合。

3. 发明授权

US5846189A System for quantifying asynchrony between signals 失效
标题翻译：用于量化信号之间不同步的系统
公开(公告)号：US5846189A
公开(公告)日：1998-12-08
申请号：US757258
申请日：1996-11-27
申请人： Steven M. Pincus
发明人： Steven M. Pincus
IPC分类号： G06F17/00 , G06F19/00 , A61B5/00
CPC分类号： A61B5/0452 , A61B5/04525 , G06F19/3406 , A61B5/0476 , A61B5/0488 , Y10S128/92 , Y10S128/923
摘要： A data processing environment processes a plurality of signals to detect a system state. The specific system can be, for example, a living human, where the signals are biological parameters. A processor operates the data points from two signals by defining respective classes of contiguous runs of a prescribed length of the data. The processor then assigns quantitative values to measure the regularity and stability of similar patterns between the first and second sets of classes of data points from the defined classes. These assigned quantitative values are aggregated to quantify the degree of asynchrony or conditional irregularity between the signals.
摘要翻译：数据处理环境处理多个信号以检测系统状态。特定系统可以是例如活的人，其中信号是生物学参数。处理器通过定义数据的规定长度的连续运行的相应类别，从两个信号操作数据点。然后，处理器分配定量值以测量来自定义的类的第一组和第二组数据点之间的类似模式的规律性和稳定性。这些分配的定量值被聚合以量化信号之间的不同步或条件不规则度。

4. 发明授权

US5191524A Approximate entropy 失效
标题翻译：近似熵
公开(公告)号：US5191524A
公开(公告)日：1993-03-02
申请号：US404737
申请日：1989-09-08
申请人： Steven M. Pincus , Robert A. Neidorff
发明人： Steven M. Pincus , Robert A. Neidorff
IPC分类号： G06F17/00 , G06F19/00
CPC分类号： G06F19/3406 , A61B5/04525 , Y10S128/923
摘要： An approximation of entropy is determined on a set of data by comparing subsets of the data. The comparison reveals the regularity and stability of similar patterns amongst subsets of the data. The comparisons perform such that the contribution of noise to measurement of the regularity and stability is minimized. Quantitative values are assigned to measure the degree of regularity and stability. From these quantitative values a single output measure is generated indicative of the amount of patternness of the sequence of data. The calculations required to determine this approximate entropy are preferably performed within a data processing system. Numerous peripheral devices may be attached to such a data processing system. The types of data for which the approximate entropy may be calculated include any sets of data wherein the amount of patternness is sought.
摘要翻译：通过比较数据的子集，在一组数据上确定熵的近似。比较显示了数据子集中类似模式的规律性和稳定性。比较表明，噪声对规则性和稳定性测量的贡献最小化。指定定量值来衡量规律性和稳定性。从这些定量值中，产生指示数据序列的模式量的单个输出度量。确定该近似熵所需的计算优选地在数据处理系统内执行。许多外围设备可以附接到这样的数据处理系统。可以计算近似熵的数据类型包括寻求图案量的任何数据集合。

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