专利快速检索-快速检索全球专利，免费商用专利数据库-IPRDB

1. 发明申请

WO2008065432A1 BIOMEDICAL SIGNAL MORPHOLOGY ANALYSIS METHOD 审中-公开
标题翻译：生物医学信号分析方法
公开(公告)号：WO2008065432A1
公开(公告)日：2008-06-05
申请号：PCT/GB2007/004617
申请日：2007-11-30
申请人： OXFORD BIOSIGNALS LIMITED , TARASSENKO, Lionel , PATTERSON, Alan , STRACHAN, Iain, Guy
发明人： TARASSENKO, Lionel , PATTERSON, Alan , STRACHAN, Iain, Guy
IPC分类号： A61B5/04
CPC分类号： A61B5/0452 , A61B5/0468 , A61B5/0476 , A61B5/1455 , A61B5/7267
摘要： A way of quantifying the shape of an ECG waveform is disclosed by detecting the JT segment using two Hidden Markov Models and calculating the analytic signal of the JT segment. Parameters calculated from the analytic signal are used as shape descriptors for the JT segment. The shape descriptors may be displayed in a dimensionality-reduced mapping. Templates representing characteristic shapes can be produced by finding cluster centres in the shape descriptor space, and the novelty of new waveforms can be quantified by comparing the position in shape descriptor space of new shape descriptors to a predefined normal training set or to previously encountered waveforms. Novel shape descriptors can be used to retrieve the corresponding waveforms, and templates of such novel shapes can be created by averaging such waveforms, using dynamic time warping to allow for variations in heart rate. The templates can be manually segmented and the manual segmentation propagated back into other waveforms having similar shape descriptors.
摘要翻译：通过使用两个隐马尔可夫模型检测JT段并计算JT段的分析信号来公开量化ECG波形形状的方法。从分析信号计算的参数用作JT段的形状描述符。形状描述符可以被显示在维度降低的映射中。可以通过在形状描述符空间中发现聚类中心来产生表征特征形状的模板，并且可以通过将新形状描述符的形状描述符空间中的位置与预定义的正常训练集或先前遇到的波形进行比较来量化新波形的新颖性。可以使用新颖的形状描述符来检索相应的波形，并且可以通过使用动态时间扭曲来平均这样的波形来创建这种新形状的模板，以允许心率的变化。模板可以手动分割，手动分割传播回具有类似形状描述符的其他波形。

2. 发明申请

WO2008065412A3 IMPROVED CONTROL CIRCUIT AND APPARATUS FOR NEGATIVE PRESSURE WOUND TREATMENT 审中-公开
公开(公告)号：WO2008065412A3
公开(公告)日：2008-06-05
申请号：PCT/GB2007/004593
申请日：2007-11-30
申请人： OXFORD BIOSIGNALS LIMITED , TARASSENKO, Lionel , PATTERSON, Alan , STRACHAN, Iain, Guy
发明人： TARASSENKO, Lionel , PATTERSON, Alan , STRACHAN, Iain, Guy
IPC分类号： A61B5/0452 , G06F17/00
摘要： A method of analysing biomedical signals, for example electrocardiograms, by using a Hidden Markov Model for subsections of the signal. In the case of an electrocardiogram two Hidden Markov Models are used to detect respectively the start and end of the QT interval. The relationship between the QT interval and heart rate can be computed and a contemporaneous value for the slope of this relationship can be obtained by calculating the QT/RR relationship for all of the beats in a sliding time window based on the current beat. Portions of electrocardiograms taken on different days can efficiently and accurately be compared by selecting time windows of the ECGs at the same time of day, and looking for similar beats in those time windows.

3. 发明公开

EP2099359A1 BIOMEDICAL SIGNAL MORPHOLOGY ANALYSIS METHOD 有权
标题翻译：生物医学信号形态分析程序
公开(公告)号：EP2099359A1
公开(公告)日：2009-09-16
申请号：EP07824775.6
申请日：2007-11-30
申请人： Oxford Biosignals Limited
发明人： TARASSENKO, Lionel , PATTERSON, Alan , STRACHAN, Iain Guy
IPC分类号： A61B5/04
CPC分类号： A61B5/0452 , A61B5/0468 , A61B5/0476 , A61B5/1455 , A61B5/7267
摘要： A way of quantifying the shape of an ECG waveform is disclosed by detecting the JT segment using two Hidden Markov Models and calculating the analytic signal of the JT segment. Parameters calculated from the analytic signal are used as shape descriptors for the JT segment. The shape descriptors may be displayed in a dimensionality-reduced mapping. Templates representing characteristic shapes can be produced by finding cluster centres in the shape descriptor space, and the novelty of new waveforms can be quantified by comparing the position in shape descriptor space of new shape descriptors to a predefined normal training set or to previously encountered waveforms. Novel shape descriptors can be used to retrieve the corresponding waveforms, and templates of such novel shapes can be created by averaging such waveforms, using dynamic time warping to allow for variations in heart rate. The templates can be manually segmented and the manual segmentation propagated back into other waveforms having similar shape descriptors.

4. 发明公开

EP2097000A2 BIOMEDICAL SIGNAL ANALYSIS INCLUDING IMPROVED AUTOMATIC SEGMENTATION USING A HIDDEN MARKOV MODEL 有权
标题翻译：具有自动分割使用隐马尔可夫模型进行分析心电图
公开(公告)号：EP2097000A2
公开(公告)日：2009-09-09
申请号：EP07824759.0
申请日：2007-11-30
申请人： Oxford Biosignals Limited
发明人： TARASSENKO, Lionel , PATTERSON, Alan , STRACHAN, Iain Guy
IPC分类号： A61B5/0452 , G06F17/00
CPC分类号： A61B5/0452 , A61B5/7203 , A61B5/7267
摘要： A method of analysing biomedical signals, for example electrocardiograms, by using a Hidden Markov Model for subsections of the signal. In the case of an electrocardiogram two Hidden Markov Models are used to detect respectively the start and end of the QT interval. The relationship between the QT interval and heart rate can be computed and a contemporaneous value for the slope of this relationship can be obtained by calculating the QT/RR relationship for all of the beats in a sliding time window based on the current beat. Portions of electrocardiograms taken on different days can efficiently and accurately be compared by selecting time windows of the ECGs at the same time of day, and looking for similar beats in those time windows.

你已经成功收藏专利！

检索式保存成功!

IPRDB

热门服务

关于我们

友情链接

联系方式