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1. 发明申请

US20080140403A1 Signal Analysis Method 有权
标题翻译：信号分析方法
公开(公告)号：US20080140403A1
公开(公告)日：2008-06-12
申请号：US11579834
申请日：2005-05-06
申请人： Nicholas Hughes , Lionel Tarassenko , Stephen Roberts
发明人： Nicholas Hughes , Lionel Tarassenko , Stephen Roberts
IPC分类号： G10L15/14
CPC分类号： A61B5/0452 , A61B5/7221 , A61B5/726 , A61B5/7264 , A61B5/7267
摘要： Improvement in the reliability of segmentation of a signal, such as an ECG signal, is disclosed 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. Also disclosed is the derivation of a confidence measure from the model which 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.
摘要翻译：通过使用持续时间约束来公开对诸如ECG信号的信号的分割的可靠性的改进。使用隐马尔可夫模型分析信号。持续时间约束指定模型的特定状态的最小允许持续时间。持续时间约束可以并入模型本身，也可以并入用于计算给定传统模型的最可能的状态序列的维特比算法。还公开了从模型推导出可用于评估分割的质量和鲁棒性的模型，并且识别分段不可靠的任何信号，例如由于信号中存在噪声或异常。

2. 发明授权

US07941209B2 Signal analysis method 有权
标题翻译：信号分析方法
公开(公告)号：US07941209B2
公开(公告)日：2011-05-10
申请号：US11579834
申请日：2005-05-06
申请人： Nicholas Hughes , Lionel Tarassenko , Stephen Roberts
发明人： Nicholas Hughes , Lionel Tarassenko , Stephen Roberts
IPC分类号： A61B5/044 , A61B5/0476 , A61B5/0488
CPC分类号： A61B5/0452 , A61B5/7221 , A61B5/726 , A61B5/7264 , A61B5/7267
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.
摘要翻译：通过使用持续时间约束来实现诸如ECG信号之类的信号的分割的可靠性的改进。使用隐马尔可夫模型分析信号。持续时间约束指定模型的特定状态的最小允许持续时间。持续时间约束可以并入模型本身，也可以并入用于计算给定传统模型的最可能的状态序列的维特比算法。可以使用来自模型的置信度量的推导来评估分割的质量和鲁棒性，并且识别分割不可靠的任何信号，例如由于信号中存在噪声或异常。

3. 发明授权

US09615749B2 Remote monitoring of vital signs 有权
公开(公告)号：US09615749B2
公开(公告)日：2017-04-11
申请号：US14240291
申请日：2012-08-16
申请人： David Andrew Clifton , Mauricio Christian Villarroel Montoya , Lionel Tarassenko
发明人： David Andrew Clifton , Mauricio Christian Villarroel Montoya , Lionel Tarassenko
IPC分类号： A61B5/1455 , A61B5/02 , A61B5/00 , A61B5/0205 , A61B5/024 , A61B5/08 , A61B5/1171 , G06T5/00 , G06T5/10 , G06K9/00
CPC分类号： A61B5/0077 , A61B5/0022 , A61B5/0205 , A61B5/02416 , A61B5/0816 , A61B5/1176 , A61B5/14551 , A61B5/7203 , A61B5/725 , G06K9/00563 , G06T5/008 , G06T5/10 , G06T2207/10016 , G06T2207/10024 , G06T2207/30076 , G06T2207/30088 , G06T2207/30104 , G06T2207/30201
摘要： A method of remote monitoring of vital signs by detecting the PPG signal in an image of a subject taken by a video camera such as a webcam. The PPG signal is identified by auto-regressive analysis of ambient light reflected from a region of interest on the subject's skin. Frequency components of the ambient light and aliasing artefacts resulting from the frame rate of the video camera are cancelled by auto-regressive analysis of ambient light reflected from a region of interest not on the subject's skin, e.g. in the background. This reveals the spectral content of the ambient light allowing identification of the subject's PPG signal. Heart rate, oxygen saturation and breathing rate are obtained from the PPG signal. The values can be combined into a wellness index based on a statistical analysis of the values.

4. 发明申请

US20100312580A1 SYSTEM FOR ASSISTING IN DRUG DOSE OPTIMISATION 审中-公开
标题翻译：用于辅助药物剂量优化的系统
公开(公告)号：US20100312580A1
公开(公告)日：2010-12-09
申请号：US12734332
申请日：2008-10-27
申请人： Lionel Tarassenko , David J. Kerr , Annie Young
发明人： Lionel Tarassenko , David J. Kerr , Annie Young
IPC分类号： G06Q50/00 , G06F17/30
CPC分类号： G06F19/3456 , G06F19/3418 , G06Q50/22 , G06Q50/24
摘要： A system for assisting in dose optimisation for patients administering medication to themselves at home consists of a mobile telephone or PDA to which the patient is prompted to enter data indicative of their condition and also the dosage of medication they are taking. Such data is stored on the phone and transmitted to a remote server and is processed against predetermined criteria to decide whether the medication dose should be maintained or increased or decreased based on the patient's current condition. A message instructing the patient to maintain or adjust the dosage is displayed based on this determination. The data is made available both to the patient and clinicians by means of web pages provided by the remote server.
摘要翻译：用于协助对在家进行药物治疗的患者的剂量优化的系统由移动电话或PDA组成，患者被提示向其输入指示其状况的数据以及正在服用的药物的剂量。这样的数据被存储在电话上并被发送到远程服务器，并根据预定的标准进行处理，以根据患者的当前状况决定是否应该维持或增加或减少药物剂量。基于该确定显示指示患者维持或调整剂量的消息。通过远程服务器提供的网页，可以向患者和临床医生提供数据。

5. 发明申请

US20090265186A1 System and Method for Communicating Environmentally-Based Medical Advice 审中-公开
标题翻译：用于沟通环境医学咨询的制度与方法
公开(公告)号：US20090265186A1
公开(公告)日：2009-10-22
申请号：US12084952
申请日：2006-11-10
申请人： Lionel Tarassenko , William Ross Cobern , Patrick Eugene McSharry
发明人： Lionel Tarassenko , William Ross Cobern , Patrick Eugene McSharry
IPC分类号： G06Q50/00
CPC分类号： G06Q50/24 , G06F19/3418 , G06Q50/22 , G16H50/80
摘要： A method and system for delivering advice to patients suffering from respiratory conditions based on changes in environment, such as weather or air quality changes. This system includes a patient specific model which uses input environmental data to predict changes in the patient's condition. The model is developed from an analysis of patient's responses to a variety of environmental triggers, and can be refined with time. The model can include only those specific triggers appropriate to a patient, can include the delay between the change in environment and change in condition of the patient, and can be run with data which is geographically localized to the patient's location. Conveniently the models can be run on personal devices held by the patients, such as mobile telephones, which are in communication with a server and/or a provider of environmental data.
摘要翻译：一种方法和系统，用于根据环境变化（如天气或空气质量变化）向患有呼吸道状况的患者提供咨询。该系统包括使用输入环境数据来预测患者状况变化的患者特定模型。该模型是从对患者对各种环境触发因素的反应的分析而开发的，可以随着时间的推移而改进。该模型可以仅包括适合于患者的那些特定触发器，可以包括环境变化和病人状态改变之间的延迟，并且可以在地理位置定位于患者位置的数据上运行。方便地，模型可以在患者持有的个人设备上运行，例如与服务器和/或环境数据提供者通信的移动电话。

6. 发明授权

US07031857B2 Patient condition display 有权
标题翻译：病人状况显示
公开(公告)号：US07031857B2
公开(公告)日：2006-04-18
申请号：US10479224
申请日：2002-05-29
申请人： Lionel Tarassenko , Neil William Townsend
发明人： Lionel Tarassenko , Neil William Townsend
IPC分类号： G01R13/02
CPC分类号： A61B5/0205 , A61B5/7267 , A61B5/742 , A61B5/7445 , G06F19/00 , G06F19/321 , G16H40/63 , G16H50/20 , G16H50/70
摘要： Data from a plurality of sensors representing a patient's condition, including measurement signals and also secondary parameters derived from the measurement signals, are displayed in a simple way by calculating a novelty index constituting a one-dimensional visualization space. The novelty index is based on the distance of the current data point in a multi-dimensional measurement space, whose coordinates are defined by the values of the measurement signals and secondary parameters, from a predefined normal point. This may be achieved by using a suitably trained artificial neural network to sum the distance between the current data point in the measurement space and a plurality of prototype points representing normality.
摘要翻译：通过计算构成一维可视化空间的新颖性指标，以简单的方式显示表示患者状况的多个传感器的数据，包括测量信号和从测量信号导出的次要参数。新颖索引基于来自预定法线点的多维测量空间中的当前数据点的距离，其坐标由测量信号和次要参数的值定义。这可以通过使用经过适当训练的人造神经网络来将测量空间中的当前数据点与代表正常的多个原点之间的距离相加来实现。

7. 发明授权

US06928370B2 Health monitoring 有权
标题翻译：健康监测
公开(公告)号：US06928370B2
公开(公告)日：2005-08-09
申请号：US09898008
申请日：2001-07-05
申请人： Paul Anuzis , Steve P. King , Dennis M. King , Lionel Tarassenko , Paul Hayton , Simukai Utete
发明人： Paul Anuzis , Steve P. King , Dennis M. King , Lionel Tarassenko , Paul Hayton , Simukai Utete
IPC分类号： G01M99/00 , G01H1/00 , G01N29/12 , G01N29/44 , G01N29/46 , G06F19/00
CPC分类号： G01N29/46 , G01H1/00 , G01N29/12 , G01N29/4481 , G01N2291/012 , G01N2291/015 , G01N2291/2693
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; andregistering an event if the condition signature differs from the normal signature by more than a predetermined threshold.
摘要翻译：一种用于监视系统健康的方法包括以下步骤中的每一个执行以下步骤：从多个状态指示符构建条件签名，所述条件指示符包括（a）从所述系统获得的多个振动测量，或（b）一个或更多的振动测量和从系统获取的一个或多个性能参数测量; 从定义所述条件指示符之间的一个或多个相互依赖关系的模型预测正常签名，对应于健康系统的条件签名的正常签名; 将条件签名与正常签名进行比较; 以及如果条件签名与正常签名不同超过预定阈值则登记事件。

8. 发明授权

US08332017B2 Method of biomedical signal analysis including improved automatic segmentation 有权
标题翻译：生物医学信号分析方法包括改进的自动分割
公开(公告)号：US08332017B2
公开(公告)日：2012-12-11
申请号：US12517127
申请日：2007-11-30
申请人： Lionel Tarassenko , Alan Patterson , Iain Guy Strachan
发明人： Lionel Tarassenko , Alan Patterson , Iain Guy Strachan
IPC分类号： A61B5/04
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：通过使用隐马尔科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。

9. 发明申请

US20120035885A1 METHOD AND APPARATUS FOR MONITORING AND ANALYZING VIBRATIONS IN ROTARY MACHINES 有权
标题翻译：用于监测和分析旋转机械振动的方法和装置
公开(公告)号：US20120035885A1
公开(公告)日：2012-02-09
申请号：US13201082
申请日：2010-02-17
申请人： Lionel Tarassenko , David A. Clifton , Dennis King , Steven P. King , David J. Ault
发明人： Lionel Tarassenko , David A. Clifton , Dennis King , Steven P. King , David J. Ault
IPC分类号： G06F15/00 , G01H17/00
CPC分类号： G01H1/006 , G01H3/08 , G01M13/028 , G01M13/045 , G01M15/12 , G01N29/46 , G01N2291/2693
摘要： Vibration amplitudes are recorded as a function of rotation speed and of frequency and the data is analyzed to estimate a noise floor amplitude threshold for each of a plurality of different speed and frequency sub-ranges. On the basis of training data known to be normal speed-frequency areas which contain significant spectral content in normal operation are deemed “known significant spectral content”, so that during monitoring of new data points which correspond to significant vibration energy at speeds and frequencies different from the known significant spectral content can be deemed “novel significant spectral content” and form the basis for an alert. The estimation of the noise floor is based on a probabilistic analysis of the data in each speed-frequency area and from this analysis an extreme value distribution expressing the probability that any given sample is noise is obtained.
摘要翻译：作为旋转速度和频率的函数记录振幅，并且分析数据以估计多个不同速度和频率子范围中的每一个的噪声基底振幅阈值。在已知正常速度频率区域的训练数据的基础上，将正常操作中含有重要频谱含量的速度频率区域视为“已知的有效频谱含量”，以便在监视对应于速度和频率下的显着振动能量的新数据点时从已知的重要光谱内容可以被认为是“新的重要光谱内容”，并形成警报的基础。噪声基底的估计基于每个速度 - 频率区域中的数据的概率分析，并且根据该分析，表示获得任何给定样本是噪声的概率的极值分布。

10. 发明申请

US20110265026A1 NOVELTY DETECTION WITH MISSING PARAMETERS 有权
标题翻译：用错误的参数进行新颖的检测
公开(公告)号：US20110265026A1
公开(公告)日：2011-10-27
申请号：US13122801
申请日：2009-10-09
申请人： Lionel Tarassenko , Alistair Hann
发明人： Lionel Tarassenko , Alistair Hann
IPC分类号： G06F3/048
CPC分类号： G06K9/6284 , A61B5/02055 , A61B5/021 , A61B5/0245 , A61B5/0816 , A61B5/145 , A61B5/6843 , A61B2560/0276 , G06F19/00 , G06F19/36 , G06K9/00536 , G16H50/70
摘要： A method of obtaining a consistent evaluation of the state of the system which has been monitored by measurement of multiple parameters of that system. The multiple parameters are used to calculate a single dimensional value based on the distance between the current state and normal states of the system using a Parzen Windows probability function. Consistent single dimensional values regardless of the dimensionality of the original data set can be obtained by finding a relationship between the single dimensional value and the probability of status of the system. Different relationships are obtained for different dimensionalities of data sets. Sensor malfunction can also be detected by testing the probability of the state implied by measuring all of the available parameters against the probability of the state implied by ignoring different individual ones of the parameters. A significant disparity in the two probabilities indicate possible sensor malfunction.
摘要翻译：通过测量该系统的多个参数来监测系统状态的一致评估的方法。多个参数用于使用Parzen Windows概率函数基于系统的当前状态和正常状态之间的距离来计算单维值。可以通过发现单维值与系统状态概率之间的关系来获得与原始数据集的维度无关的一致的单维值。对于数据集的不同维度，获得不同的关系。也可以通过测量所有可用参数的概率来检测传感器故障，这是通过忽略不同个体参数隐含的状态的概率来检测的。两个概率的显着差异表明可能的传感器故障。

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