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1. 发明授权

US06983183B2 Method and apparatus for monitoring cardiac patients for T-wave alternans 有权
公开(公告)号：US06983183B2
公开(公告)日：2006-01-03
申请号：US09904914
申请日：2001-07-13
申请人： Srikanth Thiagarajan , Dongping Lin
发明人： Srikanth Thiagarajan , Dongping Lin
IPC分类号： A61B5/04
CPC分类号： A61B5/04525 , A61B5/0464
摘要： A system to detect the presence or absence of T wave alternans is described based on statistical tests and periodicity transform. T wave and ST segment boundaries are detected in multi-lead ECG signals acquired from the regular clinical leads. Once the fiducial point and the above boundaries are delineated, computation of regular parameters like T wave amplitude, area under the T waves or segments of T wave, ST segment slope and/or the curvature of T wave are performed. Each parameter forms a rolling array of values with each successive beat. The array of values, or the time series, is used to make the decision about the T wave alternans. Two different methods are employed based on periodicity transforms and statistical tests. A set of numerical values (e.g. norm of the projection on to p-2 space, sums of adjacent terms after the trend removal, t-value, and number of deviations from alternans pattern) are all computed and compared to threshold values. Threshold values are computed from past information and experience with clinical databases and simulations. Final system comprises a software module, which can be part of the existing ECG monitoring programs as well as external defibrillator modules, apart from being stand-alone algorithms.

2. 发明授权

US08509881B2 True ECG measurement during cardio pulmonary resuscitation by adaptive piecewise stitching algorithm 有权
标题翻译：通过自适应分段拼接算法在心肺复苏期间进行真正的ECG测量
公开(公告)号：US08509881B2
公开(公告)日：2013-08-13
申请号：US12611679
申请日：2009-11-03
申请人： Srikanth Thiagarajan , Prabodh Mathur
发明人： Srikanth Thiagarajan , Prabodh Mathur
IPC分类号： A61B5/04
CPC分类号： A61B5/04017 , A61B5/721 , A61B5/7217 , A61N1/3987
摘要： A method and apparatus utilizing a piecewise stitching adaptive algorithm (PSAA) to filter signal artifacts, such as those induced by cardiopulmonary resuscitation (CPR) from sensed signals in real-time. PSAA is a method of estimating artifact component present in a first signal that is highly correlated with a second signal. The PSAA may utilize autocorrelation and cross-correlation calculations to determine signal sample windows in the first and second signals. The PSAA may estimate a signal artifact in a primary signal segment based on the determined correlations between the primary signal and an artifact signal. The PSAA may remove the estimated signal artifact from the primary signal. In the absence of an artifact signal, PSAA is able to estimate artifacts in the first signal utilizing filters. The PSAA may be implemented in Automated External Defibrillators, Monitor Defibrillators or other devices capable sensing highly correlated signals such as, for example, ECG and CPR signals.
摘要翻译：一种使用分段拼接自适应算法（PSAA）来实时过滤从心肺复苏（CPR）引起的信号伪影的方法和装置。 PSAA是估计存在于与第二信号高度相关的第一信号中的伪影分量的方法。 PSAA可以利用自相关和互相关计算来确定第一和第二信号中的信号样本窗口。 PSAA可以基于所确定的主信号和伪像信号之间的相关性来估计主信号段中的信号伪影。 PSAA可以从主信号中去除估计的信号伪影。在没有伪像信号的情况下，PSAA能够利用滤波器来估计第一信号中的伪像。 PSAA可以在自动外部去纤颤器，监视器除颤器或能够感测高度相关的信号（例如ECG和CPR信号）的其它设备中实现。

3. 发明申请

US20110105930A1 TRUE ECG MEASUREMENT DURING CARDIO PULMONARY RESUSCITATION BY ADAPTIVE PIECEWISE STITCHING ALGORITHM 有权
标题翻译：通过自适应胶带缝合算法进行心脏电刺激的真实心电图测量
公开(公告)号：US20110105930A1
公开(公告)日：2011-05-05
申请号：US12611679
申请日：2009-11-03
申请人： Srikanth Thiagarajan , Prabodh Mathur
发明人： Srikanth Thiagarajan , Prabodh Mathur
IPC分类号： A61B5/0402
CPC分类号： A61B5/04017 , A61B5/721 , A61B5/7217 , A61N1/3987
摘要： A method and apparatus utilizing a piecewise stitching adaptive algorithm (PSAA) to filter signal artifacts, such as those induced by cardiopulmonary resuscitation (CPR) from sensed signals in real-time. PSAA is a method of estimating artifact component present in a first signal that is highly correlated with a second signal. The PSAA may utilize autocorrelation and cross-correlation calculations to determine signal sample windows in the first and second signals. The PSAA may estimate a signal artifact in a primary signal segment based on the determined correlations between the primary signal and an artifact signal. The PSAA may remove the estimated signal artifact from the primary signal. In the absence of an artifact signal, PSAA is able to estimate artifacts in the first signal utilizing filters. The PSAA may be implemented in Automated External Defibrillators, Monitor Defibrillators or other devices capable sensing highly correlated signals such as, for example, ECG and CPR signals.
摘要翻译：一种使用分段拼接自适应算法（PSAA）来实时过滤从心肺复苏（CPR）引起的信号伪影的方法和装置。 PSAA是估计存在于与第二信号高度相关的第一信号中的伪影分量的方法。 PSAA可以利用自相关和互相关计算来确定第一和第二信号中的信号样本窗口。 PSAA可以基于所确定的主信号和伪像信号之间的相关性来估计主信号段中的信号伪影。 PSAA可以从主信号中去除估计的信号伪影。在没有伪像信号的情况下，PSAA能够利用滤波器来估计第一信号中的伪像。 PSAA可以在自动外部去纤颤器，监视器除颤器或能够感测高度相关的信号（例如ECG和CPR信号）的其它设备中实现。

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