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1. 发明专利

JP2009186463A Novelty detection 有权
标题翻译：新颖的检测
公开(公告)号：JP2009186463A
公开(公告)日：2009-08-20
申请号：JP2009006286
申请日：2009-01-15
申请人： Oxford Biosignals Ltd , Rolls Royce Plc , オックスフォード・バイオシグナルズ・リミテッド , ロールス・ロイス・ピーエルシーRolls−Royce Public Limited Company
发明人： KING DENNIS M , CLIFTON DAVID , TARASSENKO LIONEL , KING STEPHEN P , ANUZIS PAUL , SLATER ROBERT
IPC分类号： G01M15/14 , G01H17/00
CPC分类号： G06K9/6284
摘要： PROBLEM TO BE SOLVED: To provide a method for detecting an abnormality in an apparatus or a system. SOLUTION: The method includes: a step of providing a data sample set comprising n measured physical parameter values associated with the apparatus or system generated by repeating a measurement of the physical parameter n times; a step of selecting an extremal parameter value from the data sample set; a step of determining a probability of observing the selected parameter value, where the value of the position parameter and that of the scale parameter are created by an integer value (m) each in which (m), for example indicating the size of a subsample data set having the m measured parameter values logically, is smaller than (n), namely m COPYRIGHT: (C)2009,JPO&INPIT
摘要翻译：要解决的问题：提供一种用于检测装置或系统中的异常的方法。解决方案：该方法包括：提供数据样本集的步骤，该数据样本集包括通过重复物理参数的测量n次生成的与所述装置或系统相关联的n个测量的物理参数值; 从数据样本集中选择极值参数值的步骤; 确定观察所选参数值的概率的步骤，其中位置参数的值和比例参数的值由整数值（m）创建，其中（m），例如指示子样本的大小逻辑上具有m个测量参数值的数据集小于（n），即m

2. 发明申请

WO2008065412A8 BIOMEDICAL SIGNAL ANALYSIS INCLUDING IMPROVED AUTOMATIC SEGMENTATION USING A HIDDEN MARKOV MODEL 审中-公开
标题翻译：生物医学信号分析，包括使用隐藏式MARKOV模型进行改进的自动分类
公开(公告)号：WO2008065412A8
公开(公告)日：2009-10-15
申请号：PCT/GB2007004593
申请日：2007-11-30
申请人： OXFORD BIOSIGNALS LTD , 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
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.
摘要翻译：通过使用隐马尔可夫模型来分析生物医学信号（例如心电图）来分析信号的子部分的方法。在心电图的情况下，使用两个隐马尔可夫模型分别检测QT间隔的开始和结束。可以计算QT间隔和心率之间的关系，并且可以通过基于当前节拍计算滑动时间窗口中的所有节拍的QT / RR关系来获得该关系的斜率的同期值。通过在一天的同一时间选择ECG的时间窗口，并在这些时间窗口中寻找类似的节拍，可以有效和准确地比较在不同日期拍摄的部分心电图。

3. 发明申请

WO2008065412A2 METHOD OF BIOMEDICAL SIGNAL ANALYSIS INCLUDING IMPROVED AUTOMATIC SEGMENTATION 审中-公开
标题翻译：生物医学信号分析方法，包括改进的自动分类方法
公开(公告)号：WO2008065412A2
公开(公告)日：2008-06-05
申请号：PCT/GB2007004593
申请日：2007-11-30
申请人： OXFORD BIOSIGNALS LTD , 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
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.
摘要翻译：通过使用隐马尔可夫模型来分析生物医学信号（例如心电图）来分析信号的子部分的方法。在心电图的情况下，使用两个隐马尔可夫模型分别检测QT间隔的开始和结束。可以计算QT间隔和心率之间的关系，并且可以通过基于当前节拍计算滑动时间窗口中的所有节拍的QT / RR关系来获得该关系的斜率的同期值。通过在一天的同一时间选择ECG的时间窗口，并在这些时间窗口中寻找类似的节拍，可以有效和准确地比较在不同日期拍摄的部分心电图。

4. 发明专利

AT463201T 未知
公开(公告)号：AT463201T
公开(公告)日：2010-04-15
申请号：AT02804957
申请日：2002-12-13
申请人： OXFORD BIOSIGNALS LTD
发明人： TARASSENKO LIONEL , MASON CATHERINE LAURA
IPC分类号： A61B5/08
摘要： A method for combining breathing rate measurements from two or more independent measurement channels. Independent measurements of breathing rate, for instance by impedance pneumography and photoplethysmography, can be combined to derive an improved measurement eliminating artefacts on one channel. A model of the process generating the breathing rate, is constructed and is run independently for each channel to generate predictions of the breathing rate. The model may be a Kalman filter. The measured values are compared with the predicted values and the difference is used as an indication of the confidence in the measurement, the higher the difference the lower the confidence. The measurements from the two channels are combined using weights calculated from the respected differences.

5. 发明专利

ES2292755T3 PRESENTACION DEL ESTADO DE UN PACIENTE. 未知
公开(公告)号：ES2292755T3
公开(公告)日：2008-03-16
申请号：ES02727767
申请日：2002-05-29
申请人： OXFORD BIOSIGNALS LTD
发明人： TARASSENKO LIONEL , TOWNSEND NEIL WILLIAM
IPC分类号： A61B5/00 , A61B5/044 , A61B5/0205 , G01F19/00 , G06F19/00
摘要： Aparato para presentar una representación gráfica del estado de un paciente medido por n parámetros, siendo n>3, obtenido de n sensores que constituyen una pluralidad de fuentes de señal, comprendiendo el aparato un procesador (34) que mapea puntos de datos representados por dichos n parámetros desde un espacio de medida en n dimensiones a un espacio de visualización (38) de m dimensiones, siendo m

6. 发明专利

AT507772T 未知
公开(公告)号：AT507772T
公开(公告)日：2011-05-15
申请号：AT08762370
申请日：2008-06-13
申请人： OXFORD BIOSIGNALS LTD
发明人： TARASSENKO LIONEL , FLEMING SUSANNAH
IPC分类号： A61B5/024 , A61B5/00 , A61B5/08 , G01R23/16
摘要： An example method and apparatus for measuring the breathing rate from the photoplethysmogram signal (PPG) uses auto-regressive modelling of the signal. The PPG signal is windowed in overlapping windows of typically 30 seconds' length, overlapping by 25 seconds, to obtain discrete sections of the signal and each section is low-pass filtered, downsampled and detrended and then AR modelled using an all-pole auto-regressive (AR) model. The AR model allows identification of the dominant frequencies in the signal and the pole corresponding to the breathing rate is identified by considering its magnitude and the breathing rate it represents. Each 30 second window gives a breathing rate estimate and use of successive windows displaced by 5 seconds results in a breathing rate estimate every 5 seconds. The time series of breathing rate estimates can be Kalman filtered to reject measurements which have a large change in magnitude or represent a large change in breathing rate. The measurements may also be fused with measurements from another sensor.

7. 发明专利

DE60235917D1 未知
公开(公告)号：DE60235917D1
公开(公告)日：2010-05-20
申请号：DE60235917
申请日：2002-12-13
申请人： OXFORD BIOSIGNALS LTD
发明人： TARASSENKO LIONEL , MASON CATHERINE LAURA
IPC分类号： A61B5/08
摘要： A method for combining breathing rate measurements from two or more independent measurement channels. Independent measurements of breathing rate, for instance by impedance pneumography and photoplethysmography, can be combined to derive an improved measurement eliminating artefacts on one channel. A model of the process generating the breathing rate, is constructed and is run independently for each channel to generate predictions of the breathing rate. The model may be a Kalman filter. The measured values are compared with the predicted values and the difference is used as an indication of the confidence in the measurement, the higher the difference the lower the confidence. The measurements from the two channels are combined using weights calculated from the respected differences.

8. 发明专利

GB2456567A8 Novelty detection using extreme value theory 未知
公开(公告)号：GB2456567A8
公开(公告)日：2009-12-02
申请号：GB0800985
申请日：2008-01-18
申请人： OXFORD BIOSIGNALS LTD , ROLLS ROYCE PLC
发明人： TARASSENKO LIONEL , CLIFTON DAVID , KING DENNIS , KING STEPHEN P , ANUZIS PAUL , SLATER ROBERT
IPC分类号： G06F17/00
摘要： A method is provided for detecting an abnormality in an apparatus or system. The method includes: providing a data sample set comprising n values of a measured physical parameter associated with the apparatus or system generated by repeating a measurement of the physical parameter n times; selecting an extremal measured parameter value from amongst the data sample set; determining a probability of observing the selected parameter value by applying the selected parameter value to an extreme value probability distribution function having a location parameter and a scale parameter wherein the value of the location parameter and the value of the scale parameter are each constructed using an integer value m in which m is less than n (i.e. m

9. 发明专利

DE602005016795D1 未知
公开(公告)号：DE602005016795D1
公开(公告)日：2009-11-05
申请号：DE602005016795
申请日：2005-05-06
申请人： OXFORD BIOSIGNALS LTD
发明人： HUGHES NICHOLAS , TARASSENKO LIONEL , ROBERTS STEPHEN
IPC分类号： A61B5/0452
摘要： Improvement in the reliability of segmentation of a signal, such as an ECG signal, is achieved through the use of duration constraints. The signal is analysed using a hidden Markov model. The duration constraints specify minimum allowed durations for specific states of the model. The duration constraints can be incorporated either in the model itself or in a Viterbi algorithm used to compute the most probable state sequence given a conventional model. The derivation of a confidence measure from the model can be used to assess the quality and robustness of the segmentation and to identify any signals for which the segmentation is unreliable, for example due to the presence of noise or abnormality in the signal.

10. 发明专利

AT441836T 未知
公开(公告)号：AT441836T
公开(公告)日：2009-09-15
申请号：AT01945535
申请日：2001-07-05
申请人： OXFORD BIOSIGNALS LTD
发明人： ANUZIS PAUL , KING STEVE , KING DENNIS , TARASSENKO LIONEL , HAYTON PAUL , UTETE SIMUKAI
IPC分类号： G01H1/00 , G01M99/00 , G01N29/12 , G01N29/44 , G01N29/46
摘要： A method for monitoring the health of a system comprises performing at each of a plurality of times the steps of: constructing a condition signature from a plurality of condition indicators including (a) a plurality of vibration measurements acquired from the system or (b) one or more vibration measurements and one or more performance parameter measurements acquired from the system; predicting a normal signature from a model defining one or more inter-dependencies between said condition indicators, the normal signature corresponding to the condition signature for a healthy system; comparing the condition signature with the normal signature; and registering an event if the condition signature differs from the normal signature by more than a predetermined threshold.

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