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1. 发明申请

US20050004486A1 Detection of cardiac arrhythmia using mathematical representation of standard deltaRR probability density histograms 有权
标题翻译：使用标准δRR概率密度直方图的数学表示法检测心律失常
公开(公告)号：US20050004486A1
公开(公告)日：2005-01-06
申请号：US10382385
申请日：2003-03-06
申请人： Leon Glass , Katsumi Tateno
发明人： Leon Glass , Katsumi Tateno
IPC分类号： A61B5/046 , A61B5/04
CPC分类号： A61B5/02405 , A61B5/046
摘要： A method and a system for detecting cardiac arrhythmias that includes detecting RR intervals of the patient wherein each RR interval is an interval between two heart beats, and simulating standard probability density histograms of ΔRRs by means of a suitable probability distribution calculated through at least one mathematical formulae, wherein ΔRR is a difference between two successive RR intervals. Test probability density histograms of ΔRRs of the patient are constructed from the detected RR intervals. Finally, the standard and test histograms are compared to detect whether the patient suffers from cardiac arrhythmia. As non limiting examples, the standard probability density histograms of ΔRRs are modeled by a mathematical equation selected from the group consisting of: the Lorentzian distribution, the Gaussian distribution, the Student's t-distribution, and a probability distribution including a linear combination of the Lorentzian and Gaussian distribution.
摘要翻译：一种用于检测心律不齐的方法和系统，其包括检测患者的RR间隔，其中每个RR间期是两个心跳之间的间隔，并且借助于通过至少一个数学计算的合适的概率分布来模拟DeltaRR的标准概率密度直方图其中，ΔRR是两个连续RR间隔之间的差。从检测到的RR间期构建患者的DeltaRR的测试概率密度直方图。最后，比较标准和测试直方图，以检测患者是否患有心律失常。作为非限制性示例，DeltaRR的标准概率密度直方图由选自以下的数学方程式建模：洛伦兹分布，高斯分布，学生的t分布和包括洛伦兹线性组合的线性组合的概率分布和高斯分布。

2. 发明授权

US07146206B2 Detection of cardiac arrhythmia using mathematical representation of standard ΔRR probability density histograms 有权
标题翻译：使用标准DeltaRR概率密度直方图的数学表示法检测心律失常
公开(公告)号：US07146206B2
公开(公告)日：2006-12-05
申请号：US10382385
申请日：2003-03-06
申请人： Leon Glass , Katsumi Tateno
发明人： Leon Glass , Katsumi Tateno
IPC分类号： A61B5/04
CPC分类号： A61B5/02405 , A61B5/046
摘要： A method and a system for detecting cardiac arrhythmias that includes detecting RR intervals of the patient wherein each RR interval is an interval between two heart beats, and simulating standard probability density histograms of ΔRRs by means of a suitable probability distribution calculated through at least one mathematical formulae, wherein ΔRR is a difference between two successive RR intervals. Test probability density histograms of ΔRRs of the patient are constructed from the detected RR intervals. Finally, the standard and test histograms are compared to detect whether the patient suffers from cardiac arrhythmia. As non limiting examples, the standard probability density histograms of ΔRRs are modeled by a mathematical equation selected from the group consisting of: the Lorentzian distribution, the Gaussian distribution, the Student's t-distribution, and a probability distribution including a linear combination of the Lorentzian and Gaussian distribution.
摘要翻译：一种用于检测心律不齐的方法和系统，其包括检测患者的RR间隔，其中每个RR间期是两个心跳之间的间隔，并且借助于通过至少一个数学计算的合适的概率分布来模拟DeltaRR的标准概率密度直方图其中，ΔRR是两个连续RR间隔之间的差。从检测到的RR间期构建患者的DeltaRR的测试概率密度直方图。最后，比较标准和测试直方图，以检测患者是否患有心律失常。作为非限制性示例，DeltaRR的标准概率密度直方图由选自以下的数学方程式建模：洛伦兹分布，高斯分布，学生的t分布和包括洛伦兹线性组合的线性组合的概率分布和高斯分布。

3. 发明授权

US07120485B2 Method and system for detection of cardiac arrhythmia 有权
标题翻译：心律失常检测方法及系统
公开(公告)号：US07120485B2
公开(公告)日：2006-10-10
申请号：US10380919
申请日：2001-09-20
申请人： Leon Glass , Katsumi Tateno
发明人： Leon Glass , Katsumi Tateno
IPC分类号： A61B5/04
CPC分类号： A61B5/02405 , A61B5/04525 , A61B5/0456 , A61B5/046 , A61B5/0464 , A61N1/3925
摘要： There are many different serious cardiac arrhythmias. The present invention uses measurements of RR intervals (interbeat intervals) to detect, in particular but not exclusively, atrial fibrillation of a patient. Atrial fibrilation is a serious ailment in which the heartbeat is generally rapid and irregular. Probability density histograms of ΔRRs (difference between two successive RR intervals) collected during atrial fibrillation of a plurality of subjects are used as a template for the detection of atrial fibrillation. In one implementation, there are 16 standard probability density ΔRRs histograms every 50 ms of mean RR interval of a certain number of beats, where the mean RR interval ranges from 350 ms to 1149 ms. Similarity between the standard probability density histograms and a test density probability histogram of ΔRRs of a patient is estimated by the Kolmogorov-Smirnov test. If the test density histogram is not significantly different from the standard density histogram, atrial fibrillation is detected.
摘要翻译：有许多不同的严重心律失常。本发明使用RR间期（间隔间隔）的测量来特别地但不排除地检测患者的心房颤动。心房纤维化是一种严重的疾病，其中心跳通常是快速和不规则的。将多个受试者的房颤期间收集的DeltaRRs（两个连续的RR间隔之间的差异）的概率密度直方图用作用于检测心房颤动的模板。在一个实施方式中，平均RR间隔为350ms至1149ms，平均RR间隔为特定次数的平均RR间隔为每50ms有16个标准概率密度DeltaRR直方图。通过Kolmogorov-Smirnov测试估计标准概率密度直方图与患者的DeltaRRs的测试密度概率直方图之间的相似性。如果测试密度直方图与标准密度直方图没有显着差异，则检测到心房颤动。

4. 发明申请

US20050165320A1 Method and system for detection of cardiac arrhythmia 有权
标题翻译：心律失常检测方法及系统
公开(公告)号：US20050165320A1
公开(公告)日：2005-07-28
申请号：US10380919
申请日：2001-09-20
申请人： Leon Glass , Katsumi Tateno
发明人： Leon Glass , Katsumi Tateno
IPC分类号： A61B5/0452 , A61B5/0456 , A61B5/046 , A61B5/0464 , A61N1/39
CPC分类号： A61B5/02405 , A61B5/04525 , A61B5/0456 , A61B5/046 , A61B5/0464 , A61N1/3925
摘要： There are many different serious cardiac arrhythmias. The present invention uses measurements of RR intervals (interbeat intervals) to detect, in particular but not exclusively, atrial fibrillation of a patient. Atrial fibrilation is a serious ailment in which the heartbeat is generally rapid and irregular. Probability density histograms of ΔRRs (difference between two successive RR intervals) collected during atrial fibrillation of a plurality of subjects are used as a template for the detection of atrial fibrillation. In one implementation, there are 16 standard probability density ΔRRs histograms every 50 ms of mean RR interval of a certain number of beats, where the mean RR interval ranges from 350 ms to 1149 ms. Similarity between the standard probability density histograms and a test density probability histogram of ΔRRs of a patient is estimated by the Kolmogorov-Smirnov test. If the test density histogram is not significantly different from the standard density histogram, atrial fibrillation is detected.
摘要翻译：有许多不同的严重心律失常。本发明使用RR间期（间隔间隔）的测量来特别地但不排除地检测患者的心房颤动。心房纤维化是一种严重的疾病，其中心跳通常是快速和不规则的。将多个受试者的房颤期间收集的DeltaRRs（两个连续的RR间隔之间的差异）的概率密度直方图用作用于检测心房颤动的模板。在一个实施方式中，平均RR间隔为350ms至1149ms，平均RR间隔为特定次数的平均RR间隔每50ms存在16个标准概率密度DeltaRR直方图。通过Kolmogorov-Smirnov测试估计标准概率密度直方图与患者的DeltaRRs的测试密度概率直方图之间的相似性。如果测试密度直方图与标准密度直方图没有显着差异，则检测到心房颤动。

5. 发明授权

US08321000B2 Method for detecting pathologies using cardiac activity data 有权
标题翻译：使用心脏活动数据检测病变的方法
公开(公告)号：US08321000B2
公开(公告)日：2012-11-27
申请号：US12305765
申请日：2007-07-09
申请人： Leon Glass , Claudia Lerma , Ary Goldberger
发明人： Leon Glass , Claudia Lerma , Ary Goldberger
IPC分类号： A61B5/02 , A61B5/04
CPC分类号： A61B5/0452 , A61B5/0456
摘要： The invention relates to a method for determining a pathology in a subject, said method comprising: a) correlating N-N intervals with rate dependent fluctuations of electrocardiographic parameters derived from an electrocardiogram (ECG) of said subject or other recordings reflecting cardiac activity of said subject to derive electrocardiographic parameters correlation values, wherein said pathology is determined based on said correlation values.
摘要翻译：本发明涉及一种用于确定受试者的病理学的方法，所述方法包括：a）将NN间期与所述受试者的心电图（ECG）或将所述受试者的心脏活动反映的其他记录的心电图参数的速率相关波动相关联，导出心电图参数相关值，其中基于所述相关值确定所述病理学。

6. 发明申请

US20100191130A1 METHOD FOR DETECTING PATHOLOGIES USING CARDIAC ACTIVITY DATA 有权
标题翻译：使用心脏病活动数据检测病理学的方法
公开(公告)号：US20100191130A1
公开(公告)日：2010-07-29
申请号：US12305765
申请日：2007-07-09
申请人： Leon Glass , Claudia Lerma , Ary Goldberger
发明人： Leon Glass , Claudia Lerma , Ary Goldberger
IPC分类号： A61B5/0402
CPC分类号： A61B5/0452 , A61B5/0456
摘要： The invention relates to a method for determining a pathology in a subject, said method comprising: a) correlating N-N intervals with rate dependent fluctuations of electrocardiographic parameters derived from an electrocardiogram (ECG) of said subject or other recordings reflecting cardiac activity of said subject to derive electrocardiographic parameters correlation values, wherein said pathology is determined based on said correlation values.
摘要翻译：本发明涉及一种用于确定受试者的病理学的方法，所述方法包括：a）将NN间期与所述受试者的心电图（ECG）或将所述受试者的心脏活动反映的其他记录的心电图参数的速率相关波动相关联，导出心电图参数相关值，其中基于所述相关值确定所述病理学。

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